Abstract
It is time to make the case for health information management (HIM) to be included in science, technology, engineering, and math (STEM) education. A careful review of the HIM competencies approved by the American Health Information Management Association (AHIMA) illustrates the role of HIM professionals in informatics, data analytics, and data use. More precisely, the competency subdomains clearly align with content in the STEM disciplines of science, math, and technology, and the individual competencies or tasks in each subdomain solidify the assertion that HIM should be considered part of the STEM disciplines. Evaluation of AHIMA membership data showed that, at the education and work setting levels, AHIMA members are employed in many areas that are common to both HIM and STEM.
Keywords: STEM (science, technology, engineering, mathematics); health information management (HIM); HIM professionals; curricular competency
Introduction
Despite the International Technology and Engineering Educators Association's definition of STEM as a new transdisciplinary educational subject that integrates the disciplines of science, technology, engineering, and mathematics into a single course of study, there is no consensus among scholars in support of that definition.1, 2 According to Zollman and colleagues,., STEM has an even broader meaning, including areas such as agriculture, environment, economics, education, and medicine.3 The National Science Foundation (NSF) also defines STEM in broader strokes and, while including the basics of mathematics, natural sciences, engineering, and computer and information sciences, also includes psychology, political science, economics, and sociology within the discipline.4 The literature suggests that the STEM movement evolved from policies within the NSF. Breiner and colleagues explained that NSF first used the acronym SMET for science, mathematics, engineering, and technology in the early 1990s but determined that this acronym would cause issues of vulgarity, and therefore SMET was changed to STEM.5 The early 2000s saw increased momentum toward STEM education with resulting interest by the federal government in funding STEM education. Since 2011, the federal government has invested several billion dollars on STEM education.6
The definition of STEM is central to the issue of STEM education and funding. In 2015, President Barack Obama signed the STEM Education Act, which expanded the definition of STEM to include computer science programs.7 In 2017, President Donald Trump reinforced this definition by expanding the access to computer science and STEM education. This encouragement to the Secretary of Education included prioritizing computer science and making the promotion of high-quality STEM education a priority for the Department of Education.8 The notice of this priority was followed with a promise from the country's largest technology firms to dedicate money, technology, and volunteers to this initiative.9 It is time for other disciplines to make the case to be included in STEM education.
One such discipline is health information management (HIM). A look at the content of HIM curricula supports this assertion. The HIM discipline is a combination of business, science, and information technology. It is the process of acquiring, analyzing, and protecting digital and traditional medical information, which is vital to providing quality and accessible patient care.10 Health information professionals support patient care by managing their medical data. They ensure that patients’ health information and records are complete, accurate, and protected.
The AHIMA Council for Excellence in Education (CEE) is the leading force in education strategy for health information professionals, guiding the academic community and industry stakeholders through innovations in academic programs, curricula, and resources. The CEE achieves this aim through many different task-oriented workgroups.11 One of the workgroups, the Graduate Resource Alliance (GRA) workgroup, reviewed and researched STEM and HIM curricular components to identify areas of similarities and overlap between the two fields. This work outlines the workgroup's findings and recommendations.
Educational HIM programs at the associate, baccalaureate, and master's levels were required to incorporate the 2014 HIM Curricula Competencies into curricula by August 1, 2017.12 (See Appendices A, B, and C.) The baccalaureate-level competencies consist of six domains, which are further divided into subdomains. Specific competencies are organized and listed under each subdomain. A careful review of the subdomains illustrates the role of HIM professionals in informatics, data analytics, and data use. For example, Domain III, Informatics, Analytics and Data Use, comprises eight subdomains:
Subdomain III.A: Health Information Technologies
Subdomain III.B: Information Management Strategic Planning
Subdomain III.C: Analytics and Decision Support Subdomain
III.D: Health Care Statistics Subdomain
III.E: Research Methods Subdomain
III.F: Consumer Informatics Subdomain
III.G: Health Information Exchange Subdomain
III.H: Information Integrity and Data Quality
The subdomain titles clearly align with content in the STEM disciplines of science, math, and technology. Specific competencies under each subdomain solidify the assertion that HIM is part of the STEM disciplines. For example, at the baccalaureate level, Subdomain III.C, Analytics and Decision Support, contains the following competencies:
III.C.1: Apply analytical results to facilitate decision-making
III.C.2: Apply data extraction methodologies
III.C.3: Recommend organizational action based on knowledge obtained from data exploration and mining
III.C.4: Analyze clinical data to identify trends that demonstrate quality, safety, and effectiveness of healthcare
III.C.5: Apply knowledge of database querying and data exploration and mining techniques to facilitate information retrieval
III.C.6: Evaluate administrative reports using appropriate software
These competencies or tasks mimic content in the area of computer science, a new discipline in STEM. For each of the competencies, a Bloom's taxonomy level is assigned to specify at what level the material must be covered. These levels are Knowledge, Comprehension, Application, Analysis, Synthesis, and Evaluation.13 Appendix B demonstrates that many of the baccalaureate-level competencies are to be taught at higher taxonomic levels. A careful review of Appendices A, B, and C will illustrate several other subdomains and competencies that directly relate to the STEM disciplines. Further, AHIMA provides professional credentials and certifications based on specific knowledge, domains and skill sets.14 The Registered Health Information Administrator (RHIA) and Registered Health Information Technician (RHIT) credentials are designated for individuals who have completed an accredited HIM program at the baccalaureate or associate degree level, respectively. In addition, AHIMA offers specialty credentials, including Certified Health Data Analyst (CHDA), Certified in Healthcare Privacy and Security (CHPS), Clinical Documentation Improvement Practitioner (CDIP), and Certified Professional in Health Informatics (CPHI),15 that require knowledge within STEM domains, as shown in Figure 1.
Figure 1.
AHIMA Credentials and Certifications with Examples of STEM-Related Knowledge Domains
The purpose of this study is to map and quantify the accreditation-required curricular education components, competencies, roles, and skills of HIM professionals with the STEM disciplines currently recognized by Department of Homeland Security. The study will make recommendations to include the HIM profession as a STEM discipline.
Methodology
The study employed two methodologies to meet the proposed objectives. Methodology 1 includes the review of current curricula in both the HIM and STEM disciplines, and Methodology 2 includes the review of AHIMA membership profile data.
Methodology 1: Review and Mapping of STEM Disciplines
This methodology involved the review of current curricula in both the HIM and STEM disciplines. This review was performed primarily by reviewing the standards and literature available on both fields. Many HIM professionals are employed in a recognized STEM occupation. A comparison of the HIM competencies to a report by Vilorio16 revealed the following STEM occupation categories that are aligned with the roles and responsibilities of many HIM professionals:
Computer and information research scientists
Database administrators
Information security analysts
Statisticians
Computer occupations (in general)
With these STEM occupations in mind, the GRA workgroup did the following:
1. Compiled a listing of the STEM-related job skills and responsibilities for HIM professionals performing data analysis tasks (using AHIMA's Health Data Analysis Toolkit17),
2. Compiled a listing of the STEM-related competency tasks for AHIMA's CHPS credential (using the CHPS Exam Preparation guide18), and
3. Compiled a listing of the STEM-related competency tasks for AHIMA's CHDA credential (using the CHDA Exam Preparation guide19).
All the data compiled for the STEM-related job functions and credential competencies are listed in Appendix D. A review of the data in Appendix D clearly illustrates that many HIM professionals are working and thriving in STEM occupations.
Another organization that is involved with the categorization of STEM-related occupations is the Occupational Information Network (O*NET). It is the nation's primary source of occupational information, containing standardized and occupation-specific descriptors. The O*NET database was developed under the sponsorship of the US Department of Labor/Employment and Training Administration via a grant to the North Carolina Department of Commerce. Occupations are broken down into common job requirements, worker attributes, and the content and context of work performed. The O*NET database allows researchers to search for jobs with these characteristics.20 The Bureau of Labor Statistics Standard Occupational Classification (SOC) and coding structure provide further research capabilities.21 The O*NET occupations are all assigned an SOC code. Each O*NET/SOC coded occupation was compared to the AHIMA roles and competencies (see Appendix D). If an O*NET/SOC occupation did not match with the AHIMA roles and competencies, then it was not included as an occupation that is related to the HIM profession. The search identified 308 occupations that are categorized as STEM occupations. We explored each of the 308 occupations in relation to the curricular components, competencies, roles, and skills of HIM professionals. According to that review, the number of STEM occupations that were related to HIM was 26, as shown in Table 1.
Table 1.
O*NET Major Occupation Group Categories and the 26 Related HIM Occupations
| O*NET Major Occupation Group Categories | O*NET Code | Number of Related HIM Occupations |
|---|---|---|
| Computer and Mathematical Occupations | 15 | 18 |
| Healthcare Practitioners and Technical Occupations | 29 | 3 |
| Management Occupations | 11 | 2 |
| Life, Physical, and Social Science Occupations | 19 | 2 |
| Architecture and Engineering Occupations | 17 | 1 |
Methodology 2: Review of AHIMA Membership Profile Data
We collected and analyzed AHIMA membership data using both Tableau and Microsoft Excel. The data file consisted of 71,630 records organized into nine columns. The data analysis involved eliminating entries that were null and entries indicating that a member was unemployed (if job title was the field of interest). The variables collected and displayed in columns included job title, member type, member's credentials, job level category (e.g., director, executive, HIM technician, clerical, manager, educator, consultant), job setting, education level, state of residence, and country.
Assessment of the job level categories showed that of the 71,630 members, 12,487 did not identify their job level category and 4,578 self-reported that they were unemployed. Of those who identified their job category and are employed (55,567 members), 3.5 percent (1,969) self-reported that they were in a technology role. Other roles included clerical/administrative support, clinician, consultant, director, educator, executive/president/vice president, HIM technician, and manager/supervisor roles. The manager/supervisor and consultant roles included some job titles that were technology oriented in nature. Of the 55,567 members, 15.6 percent self-reported being in a manager/supervisor role, and 7 percent indicated that they were in a consultant role.
Analysis of technology-oriented credentials was performed for the AHIMA members who had self-reported as being in a technology role job category. The credentials considered included CHDA and CPHI. Analysis by CHDA identified 285 members who self-reported having the CHDA credential. Of these 285 members, 20 percent self-reported having a technology role. Analysis by CPHI showed that 168 members self-reported having the CPHI credential. Of these 168 members, 13 percent self-reported having the CPHI credential and being in a technology role, while 17 percent self-reported having the CHDA credential and being in a technology role.
Table 2 served as the basis for further analysis of the data. The AHIMA member job titles and job categories in the AHIMA data set do not map directly to the O*NET list; therefore, keywords closely aligned with the occupation list were selected and used as search criteria. We identified the following STEM keywords based on the occupations listed in Table 2: computer, technology, informatics, information security, business intelligence, network, data, system analyst, and database. These keywords were used as criteria to determine how many AHIMA members had the keyword in their job title and to assess whether the members with these STEM titles were pursuing STEM-related AHIMA credentialing.
Table 2.
O*NET/SOC Occupations and Occupation Types Related to HIM Professions
| Code | Occupation | Occupation Types |
|---|---|---|
| 19-1029.01 | Bioinformatics Scientists | Research, Development, Design, and Practitioners |
| 15-2041.01 | Biostatisticians | Research, Development, Design, and Practitioners |
| 15-1199.08 | Business Intelligence Analysts | Research, Development, Design, and Practitioners |
| 15-2041.02 | Clinical Data Managers | Research, Development, Design, and Practitioners |
| 11-9121.01 | Clinical Research Coordinators | Managerial |
| 15-1111.00 | Computer and Information Research Scientists | Research, Development, Design, and Practitioners |
| 11-3021.00 | Computer and Information Systems Managers | Managerial |
| 15-1143.00 | Computer Network Architects | Research, Development, Design, and Practitioners |
| 15-1152.00 | Computer Network Support Specialists | Technologists and Technicians |
| 15-1199.00 | Computer Occupations, All Other | Research, Development, Design, and Practitioners |
| 15-1131.00 | Computer Programmers | Technologists and Technicians |
| 15-1121.00 | Computer Systems Analysts | Research, Development, Design, and Practitioners |
| 15-1199.02 | Computer Systems Engineers/Architects | Research, Development, Design, and Practitioners |
| 15-1151.00 | Computer User Support Specialists | Technologists and Technicians |
| 29-2011.01 | Cytogenetic Technologists | Technologists and Technicians |
| 15-1199.07 | Data Warehousing Specialists | Research, Development, Design, and Practitioners |
| 15-1141.00 | Database Administrators | Research, Development, Design, and Practitioners |
| 15-1199.06 | Database Architects | Research, Development, Design, and Practitioners |
| 15-1199.12 | Document Management Specialists | Research, Development, Design, and Practitioners |
| 19-1041.00 | Epidemiologists | Research, Development, Design, and Practitioners |
| 29-2099.00 | Health Technologists and Technicians, All Other | Technologists and Technicians |
| 29-9099.00 | Healthcare Practitioners and Technical Workers, All Other | Technologists and Technicians |
| 17-2112.01 | Human Factors Engineers and Ergonomists | Research, Development, Design, and Practitioners |
| 15-1121.01 | Informatics Nurse Specialists | Research, Development, Design, and Practitioners |
| 15-1122.00 | Information Security Analysts | Research, Development, Design, and Practitioners |
| 15-1199.09 | Information Technology Project Managers | Research, Development, Design, and Practitioners |
Table 3 summarizes the results. The table includes the findings from the job title keyword search and the results by the three STEM-related AHIMA credentials: CHDA, CPHI, and CHPS. Of the STEM-related keywords, data ranked the highest in the job title search, followed by informatics and technology. The findings also showed that the CHDA and CPHI were mostly held by members with data in their job title. The findings also showed that a significant proportion of the members with these STEM keywords in their job titles did not pursue associated AHIMA credentials.
Table 3.
Results from the Job Title Keyword Search among AHIMA Members and STEM-related AHIMA Credential Holders
| Keywords Searched in Job Title Field | Number of AHIMA Members | Number of CPHI Holders | Number of CHDA Holders | Number of CHPS Holders |
|---|---|---|---|---|
| Informatics | 181 | 5 | 7 | 0 |
| Computer | 16 | 0 | 0 | 0 |
| Technology | 125 | 0 | 2 | 0 |
| System Analyst | 37 | 1 | 0 | 0 |
| Database | 19 | 0 | 0 | 0 |
| Network | 55 | 0 | 0 | 0 |
| Business intelligence | 18 | 2 | 1 | 0 |
| Information security | 18 | 0 | 0 | 6 |
| Data | 1,105 | 8 | 36 | 2 |
Results
Review and Mapping of STEM Disciplines
This search identified 308 O*NET/SOC occupations that are categorized as STEM occupations. We explored each of the 308 occupations using the HIM curricular components and competencies and the roles and skills of HIM professionals. The review revealed that 26 STEM occupations were related to HIM (see Table 1 and Table 2). This finding indicates that the role of the HIM professional falls within the STEM disciplines. The majority of the HIM professions fell within the major occupation types of Research Development, Design and Practitioners, and Technologists and Technicians.
Review of AHIMA Membership Profile Data
Of the 3,795 AHIMA members with STEM technology job titles, about 40 percent hold a baccalaureate degree and 20 percent possess a graduate degree. The vision outlined in the recent AHIMA white paper “HIM Reimagined” emphasizes the goal to increase the proportion of HIM professionals with graduate degrees in fields such as health informatics.22 Consequently, we expect to see further increase in the number of HIM professionals trained in the STEM technology discipline and pursuing careers in STEM informatics roles. This prediction is supported by the finding that HIM professionals with graduate degrees were mostly in STEM technology roles. The findings also show that a majority of the professionals in STEM technology roles hold positions in acute care hospital settings. We expect that these large organization settings will continue to offer employment opportunities for HIM professionals in STEM technology roles, specifically health informatics roles. From these findings, we can conclude that HIM professionals are employed in STEM technology roles, and having a graduate degree increases the likelihood of this being the case.
Discussion
Although the acronym STEM may seem to represent no more than a simple list of disciplines, Siekmann explains its complexity when linking the components of education, employment, and productivity.23 Because of the complexity and the broad scope of the STEM definition, Siekmann recommends identifying the components within STEM that are distinct.24 Taking this approach may pave the way for more concise identification of all disciplines that fall within the STEM realm. It would allow for each discipline to be examined on the basis of its STEM elements, rather than on the broad categories of science, technology, engineering, and mathematics.25 As Siekmann recommends, in this study we unpacked and identified the major components within HIM to build the case for its inclusion as a STEM discipline.
A careful review of the HIM baccalaureate program competencies illustrates the role of HIM professionals in informatics, data analytics, and data use. More precisely, the competency subdomains clearly align with content in the STEM disciplines of science, math, and technology, and the individual tasks under each subdomain solidify the assertion that HIM is part of the STEM disciplines.
Published reports on STEM jobs of the future demonstrate that many HIM professionals are already employed in recognized STEM occupations, particularly in roles such as computer and information research scientists, database administrators, information security analysts, statisticians, and computer occupations.26 Additionally, an analysis of the O*NET database, which allows researchers to perform searches for jobs based on STEM occupation characteristics, resulted in the finding that 26 of the 308 STEM occupations are related to HIM (see Table 2).
Some potential limitations of the results of this study should be noted. First, data were drawn from the self-reported AHIMA membership profile database. The information provided in membership profiles may be outdated or incomplete. Second, the data represent a small sample of HIM professionals within the larger AHIMA membership population. Although the sample size is small, we believe this sample is a solid demonstration of the future trend of the HIM profession.
Conclusion
The results of this study show that AHIMA members were qualified to be included in various STEM disciplines. Future study is needed to acquire more accurate and precise data on the job titles and STEM positions that are currently filled by HIM professionals. A future survey of the entire AHIMA membership is also needed to obtain additional information to expand other job titles related to STEM.
We recommend that AHIMA continue to promote the value that credentialing offers to members, as well as the career opportunities available in STEM technology fields. We also recommend that AHIMA consider adding the STEM vetted occupations to the membership database to more closely align the membership data with the vetted occupations that were considered in this study.
Acknowledgments
The authors thank AHIMA for providing the membership profile data. Special thanks to Desla Mancilla, DHA, RHIA; Christi Lower, PhD, RHIA, FAHIMA; and John Richey, MBA, RHIA, FAHIMA, who worked on identifying resources, reviewing the manuscript, and providing feedback.
Appendix A
2014 AHIMA Entry Level Curricular Competencies for the Associate Level
Associate HIM Level Curriculum Map
Concepts to be interwoven throughout all levels of the curricula include:
• CRITICAL THINKING: For example the ability to work independently, use judgment skills effectively, be innovative by thinking outside of the box
• PERSONAL BRANDING: For example personal accountability, reliability, self-sufficiency
| Entry Level Competency Student Learning Outcomes |
Bloom's Level | Curricular Considerations |
|---|---|---|
| Domain I. Data Content Structure and Standards | ||
| DEFINITION: Academic content related to diagnostic and procedural classification and terminologies; health record documentation requirements; characteristics of the healthcare system; data accuracy and integrity; data integration and interoperability; respond to customer data needs; data management policies and procedures; information standards. | ||
| Subdomain I.A Classification Systems | ||
| 1. Apply diagnosis/procedure codes according to current guidelines | 3 |
|
| 2. Evaluate the accuracy of diagnostic and procedural coding | 5 |
|
| 3. Apply diagnostic/procedural groupings | 3 |
|
| 4. Evaluate the accuracy of diagnostic/procedural groupings | 5 |
|
| Subdomain I.B. Health Record Content and Documentation | ||
| 1. Analyze the documentation in the health record to ensure it supports the diagnosis and reflects the patient's progress, clinical findings, and discharge status | 4 |
|
| 2. Verify the documentation in the health record is timely, complete, and accurate | 4 |
|
| 3. Identify a complete health record according to, organizational policies, external regulations, and standards | 3 |
|
| 4. Differentiate the roles and responsibilities of various providers and disciplines, to support documentation requirements, throughout the continuum of healthcare | 5 |
|
| Subdomain I.C. Data Governance | ||
| 1. Apply policies and procedures to ensure the accuracy and integrity of health data | 3 |
|
| Subdomain I.D. Data Management | ||
| 1. Collect and maintain health data | 2 |
|
| 2. Apply graphical tools for data presentations | 3 |
|
| Subdomain I.E. Secondary Data Sources | ||
| 1. Identify and use secondary data sources | 3 |
|
| 2. Validate the reliability and accuracy of secondary data sources | 3 |
|
| Domain II. Information Protection: Access Disclosure Archival Privacy and Security | ||
| Definition: Understand healthcare law (theory of all healthcare law to exclude application of law covered in Domain V); develop privacy, security, and confidentiality policies, procedures and infrastructure; educate staff on health information protection methods; risk assessment; access and disclosure management. | ||
| Subdomain II.A. Health Law | ||
| 1. Apply healthcare legal terminology | 3 |
|
| 2. Identify the use of legal documents | 3 |
|
| 3. Apply legal concepts and principles to the practice of HIM | 3 |
|
| Subdomain II.B. Data Privacy Confidentiality and Security | ||
| 1. Apply confidentiality, privacy and security measures and policies and procedures for internal and external use and exchange to protect electronic health information | 3 |
|
| 2. Apply retention and destruction policies for health information | 3 |
|
| 3. Apply system security policies according to departmental and organizational data/information standards | 3 |
|
| Subdomain II.C. Release of Information | ||
| 1. Apply policies and procedures surrounding issues of access and disclosure of protected health information | 3 |
|
| Domain III. Informatics, Analytics and Data Use | ||
| Definition: Creation and use of Business health intelligence; select, implement, use and manage technology solutions; system and data architecture; interface considerations; information management planning; data modeling; system testing; technology benefit realization; analytics and decision support; data visualization techniques; trend analysis; administrative reports; descriptive, inferential and advanced statistical protocols and analysis; IRB; research; patient-centered health information technologies; health information exchange; data quality | ||
| Subdomain III.A. Health Information Technologies | ||
| 1. Utilize software in the completion of HIM processes | 3 |
|
| 2. Explain policies and procedures of networks, including intranet and Internet to facilitate clinical and administrative applications | 2 |
|
| Subdomain III.B. Information Management Strategic Planning | ||
| 1. Explain the process used in the selection and implementation of health information management systems | 2 |
|
| 2. Utilize health information to support enterprise wide decision support for strategic planning | 3 |
|
| Subdomain III.C. Analytics and Decision Support | ||
| 1. Explain analytics and decision support | 2 |
|
| 2. Apply report generation technologies to facilitate decision-making | 3 |
|
| Subdomain III.D. Health Care Statistics | ||
| 1. Utilize basic descriptive, institutional, and healthcare statistics | 3 |
|
| 2. Analyze data to identify trends | 4 |
|
| Subdomain III.E. Research Methods | ||
| 1. Explain common research methodologies and why they are used in healthcare | 2 |
|
| Subdomain III.F. Consumer Informatics | ||
| 1. Explain usability and accessibility of health information by patients, including current trends and future challenges | 2 |
|
| Subdomain III.G. Health Information Exchange | ||
| 1. Explain current trends and future challenges in health information exchange | 2 |
|
| Subdomain III.H. Information Integrity and Data Quality | ||
| 1. Apply policies and procedures to ensure the accuracy and integrity of health data both internal and external to the health system | 3 |
|
| Domain IV. Revenue Management | ||
| Definition: Healthcare reimbursement; revenue cycle; chargemaster; DOES NOT INCLUDE COMPLIANCE regulations and activities related to revenue management (coding compliance initiatives, fraud and abuse, etc.) AS THESE ARE COVERED IN DOMAIN V. | ||
| Subdomain IV.A. Revenue Cycle and Reimbursement | ||
| 1. Apply policies and procedures for the use of data required in healthcare reimbursement | 3 |
|
| 2. Evaluate the revenue cycle management processes | 5 |
|
| Domain V. Compliance | ||
| Definition: COMPLIANCE activities and methods for all health information topics. For example, how to comply with HIPAA, Stark Laws, Fraud and Abuse, etc.; coding auditing; severity of illness; data analytics; fraud surveillance; clinical documentation improvement. | ||
| Subdomain V.A. Regulatory | ||
| 1. Analyze policies and procedures to ensure organizational compliance with regulations and standards | 4 |
|
| 2. Collaborate with staff in preparing the organization for accreditation, licensure, and/or certification | 4 |
|
| 3. Adhere to the legal and regulatory requirements related to the health information management | 3 |
|
| Subdomain V.B. Coding | ||
| 1. Analyze current regulations and established guidelines in clinical classification systems | 4 |
|
| 2. Determine accuracy of computer assisted coding assignment and recommend corrective action | 5 |
|
| Subdomain V.C. Fraud Surveillance | ||
| 1. Identify potential abuse or fraudulent trends through data analysis | 3 |
|
| Subdomain V.D. Clinical Documentation Improvement | ||
| 1. Identify discrepancies between supporting documentation and coded data | 3 |
|
| 2. Develop appropriate physician queries to resolve data and coding discrepancies | 6 |
|
| Domain VI. Leadership | ||
| Definition: Leadership models, theories, and skills; critical thinking; change management; workflow analysis, design, tools and techniques; human resource management; training and development theory and process; strategic planning; financial management; ethics and project management | ||
| Subdomain VI.A Leadership Roles | ||
| 1. Summarize health information related leadership roles | 2 |
|
| 2. Apply the fundamentals of team leadership | 3 |
|
| 3. Organize and facilitate meetings | 3 |
|
| Subdomain VI.B. Change Management | ||
| 1. Recognize the impact of change management on processes, people and systems | 2 |
|
| Subdomain VI.C. Work Design and Process Improvement | ||
| 1. Utilize tools and techniques to monitor, report, and improve processes | 3 |
|
| 2 Identify cost-saving and efficient means of achieving work processes and goals | 3 |
|
| 3. Utilize data for facility-wide outcomes reporting for quality management and performance improvement | 3 |
|
| Subdomain VI.D. Human Resources Management | ||
| 1. Report staffing levels and productivity standards for health information functions | 3 |
|
| 2. Interpret compliance with local, state, federal labor regulations | 5 |
|
| 3. Adhere to work plans, policies, procedures, and resource requisitions in relation to job functions | 3 |
|
| Subdomain VI.E. Training and Development | ||
| 1. Explain the methodology of training and development | 2 |
|
| 2. Explain return on investment for employee training/development | 2 |
|
| Subdomain VI.F. Strategic and Organizational Management | ||
| 1. Summarize a collection methodology for data to guide strategic and organizational management | 2 |
|
| 2. Understand the importance of healthcare policy-making as it relates to the healthcare delivery system | 2 |
|
| 3. Describe the differing types of organizations, services, and personnel and their interrelationships across the health care delivery system | 2 |
|
| 4. Apply information and data strategies in support of information governance initiatives | 3 |
|
| 5. Utilize enterprise-wide information assets in support of organizational strategies and objectives | 3 |
|
| Subdomain VI.G. Financial Management | ||
| 1. Plan budgets | 3 |
|
| 2. Explain accounting methodologies | 2 |
|
| 3. Explain budget variances | 2 |
|
| Subdomain VI.H. Ethics | ||
| 1. Comply with ethical standards of practice | 5 |
|
| 2. Evaluate the consequences of a breach of healthcare ethics | 5 |
|
| 3. Assess how cultural issues affect health, healthcare quality, cost, and HIM | 5 |
|
| 4. Create programs and policies that support a culture of diversity | 6 |
|
| Subdomain VI.I. Project Management | ||
| 1. Summarize project management methodologies | 2 |
|
| Subdomain VI.J. Vendor/Contract Management | ||
| 1. Explain Vendor/Contract Management | 2 |
|
| Subdomain VI.K. Enterprise Information Management | ||
| 1. Apply knowledge of database architecture and design | 3 |
|
| Supporting Body of Knowledge (Pre-requisite or Evidence of Knowledge) | ||
| Pathophysiology and Pharmacology | ||
| Anatomy and Physiology | ||
| Medical Terminology | ||
| Computer Concepts and Applications | ||
Bloom's Taxonomy
Revised for AHIMA Curricula Mapping
| Taxonomy Level | Category | Definition | Verbs |
|---|---|---|---|
| 1 | Remember | Recall facts, terms, basic concepts of previously learned material | Choose, Define, Find |
| 2 | Understand | Determine meaning and demonstrate clarity of facts and ideas | Collect, Depict, Describe, Explain, Illustrate, Recognize, Summarize |
| 3 | Apply | Use differing methods, techniques and information to acquire knowledge and/or solve problems | Adhere to, Apply, Demonstrate, Discover, Educate, Identify, Implement, Model, Organize, Plan, Promote, Protect, Report, Utilize, Validate |
| 4 | Analyze | Contribute to the examination of information in part or aggregate to identify motives and causes | Analyze, Benchmark, Collaborate, Examine, Facilitate, Format, Map, Perform, Take part in, Verify |
| 5 | Evaluate | Make judgments in support of established criteria and/or standards | Advocate, Appraise, Assess, Compare, Comply, Contrast, Determine, Differentiate, Engage, Ensure, Evaluate, Interpret, Leverage, Manage, Mitigate, Oversee, Recommend |
| 6 | Create | Generate new knowledge through innovation and assimilation of data and information | Build, Compile, Conduct, Construct, Create, Design, Develop, Forecast, Formulate, Govern, Integrate, Lead, Master, Propose |
The layout for the levels and categories was adapted from Lorin W. Anderson and David R. Krathwohl's A Taxonomy for Learning, Teaching, and Assessing, Abridged edition, Allyn and Bacon, Boston, MA, 2001.
Appendix B
2014 AHIMA Entry Level Curricular Competencies for the Baccalaureate Level
Baccalaureate Level HIM Curriculum Map
Concepts to be interwoven throughout all levels of the curricula include:
• CRITICAL THINKING: For example the ability to work independently, use judgment skills effectively, be innovative by thinking outside of the box
• PERSONAL BRANDING: For example personal accountability, reliability, self-sufficiency
| Entry Level Competency Student Learning Outcomes |
Bloom's Level | Curricular Considerations |
|---|---|---|
| Domain I. Data Content Structure and Standards | ||
| DEFINITION: Academic content related to diagnostic and procedural classification and terminologies; health record documentation requirements; characteristics of the healthcare system; data accuracy and integrity; data integration and interoperability; respond to customer data needs; data management policies and procedures; information standards. | ||
| Subdomain I.A. Classification Systems | ||
| 1. Evaluate, implement and manage electronic applications/systems for clinical classification and coding | 5 |
|
| 2. Identify the functions and relationships between healthcare classification systems | 3 |
|
| 3. Map terminologies, vocabularies and classification systems | 4 |
|
| 4. Evaluate the accuracy of diagnostic and procedural coding | 5 |
|
| Subdomain I.B. Health Record Content and Documentation | ||
| 1. Verify that documentation in the health record supports the diagnosis and reflects the patient's progress, clinical findings, and discharge status | 4 |
|
| 2. Compile organization-wide health record documentation guidelines | 6 |
|
| 3. Interpret health information standards | 5 |
|
| Subdomain I.C. Data Governance | ||
| 1. Format data to satisfy integration needs | 4 |
|
| 2. Construct and maintain the standardization of data dictionaries to meet the needs of the enterprise | 6 |
|
| 3. Demonstrate compliance with internal and external data dictionary requirements | 3 |
|
| 4. Advocate information operability and information exchange | 5 |
|
| Subdomain I.D. Data Management | ||
| 1. Analyze information needs of customers across the healthcare continuum | 4 |
|
| 2. Evaluate health information systems and data storage design | 5 |
|
| 3. Manage clinical indices/databases/registries | 5 |
|
| 4. Apply knowledge of database architecture and design to meet organizational needs | 3 |
|
| 5. Evaluate data from varying sources to create meaningful presentations | 5 |
|
| Subdomain I.E. Secondary Data Sources | ||
| 1. Validate data from secondary sources to include in the patient's record, including personal health records | 3 |
|
| Domain II. Information Protection: Access Disclosure Archival Privacy and Security | ||
| Definition: Understand healthcare law (theory of all healthcare law to exclude application of law covered in Domain V); develop privacy, security, and confidentiality policies, procedures and infrastructure; educate staff on health information protection methods; risk assessment; access and disclosure management. | ||
| Subdomain II.A. Health Law | ||
| 1. Identify laws and regulations applicable to health care | 3 |
|
| 2. Analyze legal concepts and principles to the practice of HIM | 4 |
|
| Subdomain II.B. Data Privacy Confidentiality and Security | ||
| 1. Analyze privacy, security and confidentiality policies and procedures for internal and external use and exchange of health information | 4 |
|
| 2. Recommend elements included in the design of audit trails and data quality monitoring programs | 5 |
|
| 3. Collaborate in the design and implementation of risk assessment, contingency planning, and data recovery procedures | 4 |
|
| 4. Analyze the security and privacy implications of mobile health technologies | 4 |
|
| 5. Develop educational programs for employees in privacy, security, and confidentiality | 6 |
|
| Subdomain II.C. Release of Information | ||
| 1. Create policies and procedures to manage access and disclosure of personal health information | 6 |
|
| 2. Protect electronic health information through confidentiality and security measures, policies and procedures | 3 |
|
| Domain III. Informatics, Analytics and Data Use | ||
| Definition: Creation and use of Business health intelligence; select, implement, use and manage technology solutions; system and data architecture; interface considerations; information management planning; data modeling; system testing; technology benefit realization; analytics and decision support; data visualization techniques; trend analysis; administrative reports; descriptive, inferential and advanced statistical protocols and analysis; IRB; research; patient-centered health information technologies; health information exchange; data quality | ||
| Subdomain III.A. Health Information Technologies | ||
| 1. Utilize technology for data collection, storage, analysis, and reporting of information | 3 |
|
| 2. Assess systems capabilities to meet regulatory requirements | 5 |
|
| 3. Recommend device selection based on workflow, ergonomic and human factors | 5 |
|
| 4. Take part in the development of networks, including intranet and Internet applications | 4 |
|
| 5. Evaluate system architecture, database design, data warehousing | 5 |
|
| 6. Create the electronic structure of health data to meet a variety of end user needs | 6 |
|
| Subdomain III.B. Information Management Strategic Planning | ||
| 1. Take part in the development of information management plans that support the organization's current and future strategy and goals | 4 |
|
| 2. Take part in the planning, design, selection, implementation, integration, testing, evaluation, and support of health information technologies | 4 |
|
| Subdomain III.C. Analytics and Decision Support | ||
| 1. Apply analytical results to facilitate decision-making | 3 |
|
| 2. Apply data extraction methodologies | 3 |
|
| 3. Recommend organizational action based on knowledge obtained from data exploration and mining | 5 |
|
| 4. Analyze clinical data to identify trends that demonstrate quality, safety, and effectiveness of healthcare | 4 |
|
| 5. Apply knowledge of database querying and data exploration and mining techniques to facilitate information retrieval | 3 |
|
| 6. Evaluate administrative reports using appropriate software | 5 |
|
| Subdomain III.D. Health Care Statistics | ||
| 1. Interpret inferential statistics | 5 |
|
| 2. Analyze statistical data for decision making | 4 |
|
| Subdomain III.E. Research Methods | ||
| 1. Apply principles of research and clinical literature evaluation to improve outcomes | 3 |
|
| 2. Plan adherence to Institutional Review Board (IRB) processes and policies | 3 |
|
| Subdomain III.F. Consumer Informatics | ||
| 1. Educate consumers on patient-centered health information technologies | 3 |
|
| Subdomain III.G. Health Information Exchange | ||
| 1. Collaborate in the development of operational policies and procedures for health information exchange | 4 |
|
| 2. Conduct system testing to ensure data integrity and quality of health information exchange | 6 |
|
| 3. Differentiate between various models for health information exchange | 5 |
|
| Subdomain III.H. Information Integrity and Data Quality | ||
| 1. Discover threats to data integrity and validity | 3 |
|
| 2. Implement policies and procedures to ensure data integrity internal and external to the enterprise | 3 |
|
| 3. Apply quality management tools | 3 |
|
| 4. Perform quality assessment including quality management, data quality, and identification of best practices for health information systems | 4 |
|
| 5. Model policy initiatives that influence data integrity | 3 |
|
| Domain IV. Revenue Management | ||
| Definition: Healthcare reimbursement; revenue cycle; chargemaster; DOES NOT INCLUDE COMPLIANCE regulations and activities related to revenue management (coding compliance initiatives, fraud and abuse, etc.) AS THESE ARE COVERED IN DOMAIN V. | ||
| Subdomain IV.A. Revenue Cycle and Reimbursement | ||
| 1. Manage the use of clinical data required by various payment and reimbursement systems | 5 |
|
| 2. Take part in selection and development of applications and processes for chargemaster and claims management | 4 |
|
| 3. Apply principles of healthcare finance for revenue management | 3 |
|
| 4. Implement processes for revenue cycle management and reporting | 3 |
|
| Definition: COMPLIANCE activities and methods for all health information topics. For example, how to comply with HIPAA, Stark Laws, Fraud and Abuse, etc.; coding auditing; severity of illness; data analytics; fraud surveillance; clinical documentation improvement. | ||
| Subdomain V.A. Regulatory | ||
| 1. Appraise current laws and standards related to health information initiatives | 5 |
|
| 2. Determine processes for compliance with current laws and standards related to health information initiatives and revenue cycle | 5 |
|
| Subdomain V.B. Coding | ||
| 1. Construct and maintain processes, policies, and procedures to ensure the accuracy of coded data based on established guidelines | 6 |
|
| 2. Manage coding audits | 5 |
|
| 3. Identify severity of illness and its impact on healthcare payment systems | 3 |
|
| Subdomain V.C. Fraud Surveillance | ||
| 1. Determine policies and procedures to monitor abuse or fraudulent trends | 5 |
|
| Subdomain V.D. Clinical Documentation Improvement | ||
| 1. Implement provider querying techniques to resolve coding discrepancies | 3 |
|
| 2. Create methods to manage Present on Admission, hospital acquired conditions, and other CDI components | 6 |
|
| Domain VI. Leadership | ||
| Definition: Leadership models, theories, and skills; critical thinking; change management; workflow analysis, design, tools and techniques; human resource management; training and development theory and process; strategic planning; financial management; ethics and project management | ||
| Subdomain VI.A Leadership Roles | ||
| 1. Take part in effective negotiating and use influencing skills | 4 |
|
| 2. Discover personal leadership style using contemporary leadership theory and principles | 3 |
|
| 3. Take part in effective communication through project reports, business reports and professional communications | 4 |
|
| 4. Apply personnel management skills | 3 |
|
| 5. Take part in enterprise-wide committees | 4 |
|
| 6. Build effective teams | 6 |
|
| Subdomain VI.B. Change Management | ||
| 1. Interpret concepts of change management theories, techniques and leadership | 5 |
|
| Subdomain VI.C. Work Design and Process Improvement | ||
| 1. Analyze workflow processes and responsibilities to meet organizational needs | 4 |
|
| 2. Construct performance management measures | 6 |
|
| 3. Demonstrate workflow concepts | 3 |
|
| Subdomain VI.D. Human Resources Management | ||
| 1. Manage human resources to facilitate staff recruitment, retention, and supervision | 5 |
|
| 2. Ensure compliance with employment laws | 5 |
|
| 3. Create and implement staff orientation and training programs | 6 |
|
| 4. Benchmark staff performance data incorporating labor analytics | 4 |
|
| 5. Evaluate staffing levels and productivity, and provide feedback to staff regarding performance | 5 |
|
| Subdomain VI.E. Training and Development | ||
| 1. Evaluate initial and on-going training programs | 5 |
|
| Subdomain VI.F. Strategic and Organizational Management | ||
| 1. Identify departmental and organizational survey readiness for accreditation, licensing and/or certification processes | 3 |
|
| 2. Implement a departmental strategic plan | 3 |
|
| 3. Apply general principles of management in the administration of health information services | 3 |
|
| 4. Evaluate how healthcare policy-making both directly and indirectly impacts the national and global healthcare delivery systems | 5 |
|
| 5. Identify the different types of organizations, services, and personnel and their interrelationships across the health care delivery system | 3 |
|
| 6. Collaborate in the development and implementation of information governance initiatives | 4 |
|
| 7. Facilitate the use of enterprise-wide information assets to support organizational strategies and objectives | 4 |
|
| Subdomain VI.G. Financial Management | ||
| 1. Evaluate capital, operating and/or project budgets using basic accounting principles | 5 |
|
| 2. Perform cost-benefit analysis for resource planning and allocation | 4 |
|
| 3. Evaluate the stages of the procurement process | 5 |
|
| Subdomain VI.H. Ethics | ||
| 1. Comply with ethical standards of practice | 5 |
|
| 2. Evaluate the culture of a department | 5 |
|
| 3. Assess how cultural issues affect health, healthcare quality, cost, and HIM | 5 |
|
| 4. Create programs and policies that support a culture of diversity | 6 |
|
| Subdomain VI.I. Project Management | ||
| 1. Take part in system selection processes | 4 |
|
| 2. Recommend clinical, administrative, and specialty service applications | 5 |
|
| 3. Apply project management techniques to ensure efficient workflow and appropriate outcomes | 3 |
|
| 4. Facilitate project management by integrating work efforts | 4 |
|
| Subdomain VI.J. Vendor/Contract Management | ||
| 1. Evaluate vendor contracts | 5 |
|
| 2. Develop negotiation skills in the process of system selection | 6 |
|
| Subdomain VI.K. Enterprise Information Management | ||
| 1. Manage information as a key strategic resource and mission tool | 5 |
|
| Supporting Body of Knowledge (Pre-requisite or Evidence of Knowledge) | ||
| Pathophysiology and Pharmacology | ||
| Anatomy and Physiology | ||
| Medical Terminology | ||
| Computer Concepts and | ||
| Applications | ||
| Statistics | ||
Bloom's Taxonomy
Revised for AHIMA Curricula Mapping
| Taxonomy Level | Category | Definition | Verbs |
|---|---|---|---|
| 1 | Remember | Recall facts, terms, basic concepts of previously learned material | Choose, Define, Find |
| 2 | Understand | Determine meaning and demonstrate clarity of facts and ideas | Collect, Depict, Describe, Explain, Illustrate, Recognize, Summarize |
| 3 | Apply | Use differing methods, techniques and information to acquire knowledge and/or solve problems | Adhere to, Apply, Demonstrate, Discover, Educate, Identify, Implement, Model, Organize, Plan, Promote, Protect, Report, Utilize, Validate |
| 4 | Analyze | Contribute to the examination of information in part or aggregate to identify motives and causes | Analyze, Benchmark, Collaborate, Examine, Facilitate, Format, Map, Perform, Take part in, Verify |
| 5 | Evaluate | Make judgments in support of established criteria and/or standards | Advocate, Appraise, Assess, Compare, Comply, Contrast, Determine, Differentiate, Engage, Ensure, Evaluate, Interpret, Leverage, Manage, Mitigate, Oversee, Recommend |
| 6 | Create | Generate new knowledge through innovation and assimilation of data and information | Build, Compile, Conduct, Construct, Create, Design, Develop, Forecast, Formulate, Govern, Integrate, Lead, Master, Propose |
The layout for the levels and categories was adapted from Lorin W. Anderson and David R. Krathwohl's A Taxonomy for Learning, Teaching, and Assessing, Abridged edition, Allyn and Bacon, Boston, MA, 2001.
Appendix C
2014 AHIMA Entry Level Curricular Competencies for the Graduate Level
Graduate Level HIM Curriculum Map
A significant change in approach is noted with this release of the curricula. The emphasis and measurement of success is with attainment of the Bloom's taxonomy level associated with the Student Learning Outcomes rather than the curricular considerations (which are examples of topics to be considered). When specific content is required it is part of the student learning outcome. With the pace of change in healthcare and HIM today, the curricular considerations may change with great frequency, but the student learning outcomes would remain consistent over longer periods of time.
Concepts to be interwoven throughout all levels of the curricula include:
• CRITICAL THINKING: For example the ability to work independently, use judgment skills effectively, be innovative by thinking outside of the box
• PERSONAL BRANDING: For example personal accountability, reliability, self-sufficiency
| Student Learning Outcomes | Bloom's Level | Curricular Considerations |
|---|---|---|
| Domain I. Data Content Structure and Standards | ||
| DEFINITION: Academic content related to diagnostic and procedural classification and terminologies; health record documentation requirements; characteristics of the healthcare system; data accuracy and integrity; data integration and interoperability; respond to customer data needs; data management policies and procedures; information standards. | ||
| Subdomain I.A Classification Systems | ||
| 1. Interpret terminologies, vocabularies and classification systems | 5 |
|
| 2. Construct examples of mapping of clinical vocabularies and terminologies to appropriate classification systems | 6 |
|
| Subdomain I.B. Health Record Content and Documentation | ||
| 1. Examine required documentation and record structures | 4 |
|
| Subdomain I.C. Data Governance | ||
| 1. Evaluate data integration needs | 5 |
|
| 2. Propose data interoperability and sharing policies, structures, and methods | 6 |
|
| 3. Recommend data standard policies for interoperability and sharing | 5 |
|
| Subdomain I.D. Data Management | ||
| 1. Develop data management policies | 6 |
|
| 2. Evaluate data from varying sources to create meaningful presentations | 5 |
|
| 3. Design patient-centered health information systems | 6 |
|
| 4. Manage virtual network communications | 5 |
|
| Subdomain I.E Secondary Data Sources | ||
| 1. Compile data from secondary sources | 6 |
|
| Domain II. Information Protection: Access, Disclosure, Archival Privacy and Security | ||
| Definition: Understand healthcare law (theory of all healthcare law to exclude application of law covered in Domain V); develop privacy, security, and confidentiality policies, procedures and infrastructure; educate staff on health information protection methods; risk assessment; access and disclosure management. | ||
| Subdomain II.A. Health Law | ||
| 1. Create regulatory policies based on health laws | 6 |
|
| Subdomain II.B. Data Privacy, Confidentiality and Security | ||
| 1. Design a privacy and security infrastructure | 6 |
|
| Subdomain II.C. Release of Information | ||
| 1. Mitigate access and disclosure risks | 5 |
|
|
||
| Domain III. Informatics, Analytics, and Data Use | ||
| Definition: Creation and use of Business health intelligence; select, implement, use and manage technology solutions; system and data architecture; interface considerations; information management planning; data modeling; system testing; technology benefit realization; analytics and decision support; data visualization techniques; trend analysis; administrative reports; descriptive, inferential and advanced statistical protocols and analysis; IRB; research; patient-centered health information technologies; health information exchange; data quality | ||
| Subdomain III.A. Health Information Technologies | ||
| 1. Evaluate use of data capture technologies | 5 |
|
| 2. Construct information systems capabilities | 6 |
|
| 3. Design user-centric interfaces and portals | 6 |
|
| 4. Propose use of artificial intelligence applications | 6 |
|
| 5. Evaluate systems life cycle concepts | 5 |
|
| 6. Propose the implementation of health information systems | 6 |
|
| 7. Construct information architectural models | 6 |
|
| Subdomain III.B. Information Management Strategic Planning | ||
| 1. Create information systems to ensure compliance | 6 |
|
| 2. Propose policy development and advocacy | 6 |
|
| 3. Develop strategic initiatives for information management systems and regulatory policies | 6 |
|
| 4. Appraise benefit realization of information technologies | 5 |
|
| 5. Engage key stakeholders in information systems planning | 5 |
|
| Subdomain III.C. Analytics and Decision Support | ||
| 1. Design data sources for intelligence extraction | 6 |
|
| 2. Create business intelligence through data analytics | 6 |
|
| 3. Create data visualization techniques | 6 |
|
| Subdomain III.D. Health Care Statistics | ||
| 1. Interpret inferential statistics | 5 |
|
| 2. Create statistical business models to leverage enterprise wide information assets | 6 |
|
| Subdomain III.E. Research Methods | ||
| 1. Analyze principles of research and clinical literature evaluation to improve outcomes | 4 |
|
| 2. Comply with research administrative processes and policies | 5 |
|
| 3. Create an evidence based practice body of knowledge | 6 |
|
| Subdomain III.F. Consumer Informatics | ||
| 1. Compare personalized | 5 |
|
| medicine models |
|
|
| Subdomain III.G. Health Information Exchange | ||
| 1. Develop policies for health information exchange (HIE) | 6 |
|
| Subdomain III.H. Information Integrity and Data Quality | ||
| 1. Assess data integrity | 5 |
|
| 2. Oversee policies and technologies to protect data integrity | 5 |
|
| 3. Conduct quality assessment studies | 6 |
|
| Domain IV. Revenue Management | ||
| Definition: Healthcare reimbursement; revenue cycle; chargemaster; DOES NOT INCLUDE COMPLIANCE regulations and activities related to revenue management (coding compliance initiatives, fraud and abuse, etc.) AS THESE ARE COVERED IN DOMAIN V. | ||
| Subdomain IV.A. Revenue Cycle and Reimbursement | ||
| 1. Develop enterprise-wide strategic and operational planning models for revenue cycle management | 6 |
|
| 2. Forecast on-going regulatory impact on revenue cycle and enterprise-wide reimbursement | 6 |
|
| 3. Formulate healthcare reimbursement models | 6 |
|
| 4. Oversee revenue cycle programs | 5 |
|
| Domain V. Compliance | ||
| Definition: COMPLIANCE activities and methods for all health information topics. For example, how to comply with HIPAA, Stark Laws, Fraud and Abuse, etc.; coding auditing; severity of illness; data analytics; fraud surveillance; clinical documentation improvement. | ||
| Subdomain V.A. Regulatory | ||
| 1. Integrate data analytics for regulatory compliance measures | 6 |
|
| 2. Formulate organizational compliance programs and policies | 6 |
|
| 3. Analyze standards and regulations in healthcare and how they drive and/or constrain operations | 4 |
|
| Subdomain V.B. Coding | ||
| 1. Analyze current regulations and established guidelines in clinical classification systems and computer assisted coding applications | 4 |
|
| Subdomain V.C. Fraud Surveillance | ||
| 1. Develop forensic models for fraud surveillance and improvement measures | 6 |
|
| Subdomain V.D. Clinical Documentation Improvement | ||
| 1. Formulate enterprise-wide CDI strategic and operational methods | 6 |
|
| Domain VI. Leadership | ||
| Definition: Leadership models, theories, and skills; critical thinking; change management; workflow analysis, design, tools and techniques; human resource management; training and development theory and process; strategic planning; financial management; ethics and project management | ||
| Subdomain VI.A Leadership Roles | ||
| 1. Create health information related public policy | 6 |
|
| 2. Evaluate executive decision-making | 5 |
|
| ||
| 3. Build and maintain strategic business alliances, networks, and partnerships | 6 |
|
| Subdomain VI. B. Change Management | ||
| 1. Master concepts of change management theories | 6 |
|
| Subdomain VI.C. Work Design and Process Improvement | ||
| 1. Integrate data analytics to enhance workflow design and process improvement | 6 |
|
| 2. Design process improvement research methods and models | 6 |
|
| Subdomain VI.D. Human Resources Management | ||
| 1. Leverage human capital | 5 |
|
| Subdomain VI.E. Training and Development | ||
| 1. Develop enterprise-wide training and development research models and methods | 6 |
|
| Subdomain VI.F. Strategic and Organizational Management | ||
| 1. Create integrative health information analytics for effective enterprise-wide strategic planning | 6 |
|
| 2. Design enterprise-wide strategic planning research models and methods | 6 |
|
| 3. Propose innovative healthcare policies which could directly or indirectly impact the national or global healthcare delivery system | 6 |
|
| 4. Compare the differing types of organizations, services, and personnel | 5 |
|
| and their interrelationships across the health care delivery system |
|
|
| 5. Engage key stakeholders in information governance initiatives | 5 |
|
| 6. Leverage enterprise-wide information assets to enable achievement of organizational strategies and objectives | 5 |
|
| Subdomain VI.G. Financial Management | ||
| 1. Govern information assets | 6 |
|
| Subdomain VI.H. Ethics | ||
| 1. Create an ethical business culture | 6 |
|
| 2. Design ethical research models | 6 |
|
| 3. Evaluate ethical training and compliance programs and measures | 5 |
|
| 4. Assess how cultural issues affect health, healthcare quality, cost, and HIM | 5 |
|
| 5. Create programs and policies that support a culture of diversity | 6 |
|
| Subdomain VI.I. Project Management | ||
| 1. Assess project management tools | 5 |
|
| 2. Develop collaborative alliances and partnerships to effectively manage complex projects | 6 |
|
| 3. Evaluate applied research tools and methods to integrate best practices in project planning and management | 5 |
|
| Subdomain VI.J. Vendor/Contract Management | ||
| 1. Master critical negotiation skills | 6 |
|
| 2. Design comparative research models for vendor solutions | 6 |
|
| Subdomain VI.K. Enterprise Information Management | ||
| 1. Design enterprise-wide strategic planning and information management tools and resources for mission-critical business decisions | 6 |
|
| 2. Integrate business intelligence using appropriate analytic tools and methods | 6 |
|
| 3. Develop enterprise-wide information business plans, strategic forecasts, and operational plans | 6 |
|
| Supporting Body of Knowledge (Pre-requisite or Evidence of Knowledge) | ||
| Pathophysiology and Pharmacology | ||
| Anatomy and Physiology | ||
| Medical Terminology | ||
| Computer Concepts and Applications | ||
| Statistics | ||
NOTE: The CEE is developing a research-focused graduate curriculum to provide direction to developing doctoral and research-based master's programs. It is expected that many of the learning outcomes on this upcoming map will over time be required for all graduate programs. To see a preview of the kinds of topics that are envisioned for the future, see Research Specific Student Learning Outcomes and Curricular Considerations. Programs that are already research-focused should include these learning outcomes now.
Bloom's Taxonomy
Revised for AHIMA Curricula Mapping
| Taxonomy Level | Category | Definition | Verbs |
|---|---|---|---|
| 1 | Remember | Recall facts, terms, basic concepts of previously learned material | Choose, Define, Find |
| 2 | Understand | Determine meaning and demonstrate clarity of facts and ideas | Collect, Depict, Describe, Explain, Illustrate, Recognize, Summarize |
| 3 | Apply | Use differing methods, techniques and information to acquire knowledge and/or solve problems | Adhere to, Apply, Demonstrate, Discover, Educate, Identify, Implement, Model, Organize, Plan, Promote, Protect, Report, Utilize, Validate |
| 4 | Analyze | Contribute to the examination of information in part or aggregate to identify motives and causes | Analyze, Benchmark, Collaborate, Examine, Facilitate, Format, Map, Perform, Take part in, Verify |
| 5 | Evaluate | Make judgments in support of established criteria and/or standards | Advocate, Appraise, Assess, Compare, Comply, Contrast, Determine, Differentiate, Engage, Ensure, Evaluate, Interpret, Leverage, Manage, Mitigate, Oversee, Recommend |
| 6 | Create | Generate new knowledge through innovation and assimilation of data and information | Build, Compile, Conduct, Construct, Create, Design, Develop, Forecast, Formulate, Govern, Integrate, Lead, Master, Propose |
The layout for the levels and categories was adapted from Lorin W. Anderson and David R. Krathwohl's A Taxonomy for Learning, Teaching, and Assessing, Abridged edition, Allyn and Bacon, Boston, MA, 2001.
Appendix D
Review of HIM Certification Tasks Demonstrating Alignment with STEM Occupations and Occupation Types
| HIM Certification Tasks | STEM Occupations | STEM Occupation Types |
|---|---|---|
| CHPS Professionals - Identify different technology solutions such as break the glass to protect sensitive data sets | Information Security Analysts | Research, Development, Design, and Practitioners |
| CHPS Professionals - Define processes for backing up systems with protected health information | Information Security Analysts |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Identify processes and requirements for data restoration of different types of systems | Database Architects |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Conduct a system criticality analysis | Information Security Analysts |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Define different solutions to safeguard protected health information such as instruction detection, encryption, audit logs | Information Security Analysts |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Determine appropriate safeguards on different applications such as locked access after failed attempts and audit logs | Information Security Analysts |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Become familiar with different types of solutions for clearing and purging data from hardware | Database Architects |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Create different audit programs to determine potential inappropriate access to protected health information | Information Security Analysts |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Create an information security plan that encompasses both technical and physical safeguards established | Information Security Analysts |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Establish appropriate processes for safeguarding protected health information while transmitted | Information Security Analysts |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Define processes for secure transmission such as encryption, virtual private networks, secure connections, remote access | Information Security Analysts |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Know different types of triggering systems such as intrusion detection, failed log ins, break the glass access, denial of service | Information Security Analysts |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Identify different types of encryption | Information Security Analysts |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Differentiate encryption for data at rest and data in motion | Information Security Analysts |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Describe the process for encryption and decryption | Information Security Analysts |
Research, Development, Design, and Practitioners |
| CHPS Professionals - Become familiar with the different types of encryption keys | Information Security Analysts |
Research, Development, Design, and Practitioners |
| CHDA Professionals - Knowledge of data models (conceptual, logical, and physical) | Database Architects |
Research, Development, Design, and Practitioners |
| CHDA Professionals - Basic knowledge of various architecture platforms (such as Oracle, SQL server) | Database Architects |
Research, Development, Design, and Practitioners |
| CHDA Professionals - Knowledge of relational database structure (primary key, secondary key) | Database Architects |
Research, Development, Design, and Practitioners |
| CHDA Professionals - Knowledge of electronic health record (EHR) systems | Clinical Data Managers | Research, Development, Design, and Practitioners |
| CHDA Professionals - Knowledge of database language (SQL, XML, etc.) | Database Architects |
Research, Development, Design, and Practitioners |
| CHDA Professionals - Establish uniform definitions of data captured in source systems to create a reference tool (data dictionary) | Database Administrators | Research, Development, Design, and Practitioners |
| CHDA Professionals - Knowledge of applicable data | Database | Research, |
| standards (such as ASTM, CDISC, HL7) | Administrators | Development, Design, and Practitioners |
| CHDA Professionals - Knowledge of systems testing (integration, load, interface, user acceptance) | Database Administrators | Research, Development, Design, and Practitioners |
| CHDA Professionals - Evaluate existing data structures using data tables and field mapping to develop specifications that produce accurate and properly reported data | Computer Network Architects | Research, Development, Design, and Practitioners |
| CHDA Professionals - Integrate data from internal or external sources in order to provide data for analysis or reporting | Computer Network Architects | Research, Development, Design, and Practitioners |
| CHDA Professionals - Facilitate the update and maintenance of tables for an organization's information systems in order to ensure the quality and accuracy of the data | Computer Network Architects | Research, Development, Design, and Practitioners |
| CHDA Professionals - Knowledge of industry-standard maps between classification systems | Clinical Data Managers | Research, Development, Design, and Practitioners |
| CHDA Professionals - Knowledge of appropriate use of data mining techniques | Clinical Data Managers | Research, Development, Design, and Practitioners |
| CHDA Professionals - Design metrics and criteria to meet the end users’ needs through the collection and interpretation of data | Information Technology Project Managers | Research, Development, Design, and Practitioners |
| Source for rows below is the Health Data Analysis Toolkit, 2017, AHIMA: | ||
| CHDA Professionals - Data mining to determine which value-based purchasing (VBP) metric is causing a reduction in a hospital's payment (from payers that pay for value and performance | Clinical Data Managers | Research, Development, Design, and Practitioners |
| CHDA Professionals - Design sampling plans for abstracted quality measures | Clinical Data Managers | Research, Development, Design, and Practitioners |
| CHDA Professionals - Specify data extract parameters for administrative data-driven measures | Clinical Data Managers | Research, Development, Design, and Practitioners |
| CHDA Professionals - Identify data problem areas and conduct research to determine best course of action | Database Administrators | Research, Development, Design, and Practitioners |
| CHDA Professionals - Analyze and solve issues with legacy, current, and planned systems as they relate to the integration and management of patient data (e.g., review for accuracy in record merge and unmerge processes) | Database Administrators | Research, Development, Design, and Practitioners |
| CHDA Professionals - Analyze reports of data duplicates or other errors to provide ongoing appropriate interdepartmental communication and monthly or daily data reports (e.g., related to the enterprise master patient index [EMPI]) | Database Administrators | Research, Development, Design, and Practitioners |
| CHDA Professionals - Monitor metadata for process improvement opportunities (e.g., monitoring orders for successful computerized physician order entry [CPOE] implementation) | Clinical Data Managers | Research, Development, Design, and Practitioners |
| CHDA Professionals - Identify, analyze, and interpret trends or patterns in complex data sets | Database Administrators | Research, Development, Design, and Practitioners |
| CHDA Professionals - Monitor data dictionary statistics | Database Administrators | Research, Development, Design, and Practitioners |
| CHDA Professionals - In collaboration with others, develop and maintain databases and data systems necessary for projects and department functions | Computer and Information Systems Managers | Managerial |
| CHDA Professionals - Acquire and abstract primary or secondary data from existing internal or external data sources | Computer and Information Research Scientists | Research, Development, Design, and Practitioners |
| CHDA Professionals - In collaboration with others, develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality | Computer and Information Research Scientists | Research, Development, Design, and Practitioners |
| CHDA Professionals - Work collaboratively with data and reporting and the database administrator to help produce effective production management and utilization management reports in support of performance management related to utilization, cost, and risk with the various health plan data; monitor data integrity and quality of reports on a monthly basis | Computer and Information Research Scientists | Research, Development, Design, and Practitioners |
| CHDA Professionals - Develop and maintain claims audit reporting and processes | Document Management Specialists | Research, Development, Design, and Practitioners |
| CHDA Professionals - Develop and maintain contract models in support of contract negotiations with health plans | Document Management Specialists | Research, Development, Design, and Practitioners |
| CHDA Professionals - Develop, implement, and enhance evaluation and measurement models for the quality, data and reporting, and data warehouse department programs, projects, and initiatives for maximum effectiveness | Data Warehousing Specialists | Research, Development, Design, and Practitioners |
| CHDA Professionals - Work actively with information technology to select and/or develop tools to enable facility governance and leadership to monitor the progress of quality, patient safety, service, and related metrics continuously throughout the system | Information Technology Project Managers | Research, Development, Design, and Practitioners |
| CHDA Professionals - Engage and collaborate with information technology and senior leadership to create and maintain a succinct report (e.g., dashboard), as well as a balanced set of system assessment measures, that conveys status and direction of key system-wide quality and patient safety initiatives for the trustee quality and safety committee and senior management; present this information regularly to the quality and safety committee of the board to ensure understanding of information contained therein | Information Technology Project Managers | Research, Development, Design, and Practitioners |
| CHDA Professionals - Lead analysis of outcomes and resource utilization for specific patient populations as necessary | Clinical Data Managers | Research, Development, Design, and Practitioners |
Contributor Information
Dilhari R. DeAlmeida, Department of Health Information Management at the University of Pittsburgh in Pittsburgh, PA..
Shannon H. Houser, the Department of Health Services Administration/Health Informatics Program at the University of Alabama at Birmingham in Birmingham, AL..
Victoria Wangia-Anderson, University of Cincinnati in Cincinnati, OH..
Susan H. Fenton, University of Texas Health Science Center at Houston School of Biomedical Informatics in Houston, TX..
Anita Hazelwood, University of Louisiana at Lafayette in Lafayette, LA..
Amanda C. Barefield, Augusta University in Augusta, GA..
Jeanne M. Freeman, Department of Health Information Management at Davenport University in Grand Rapids, MI..
Lolita M. Jones, healthcare delivery systems in Sleepy Hollow, NY..
Karen Bakuzonis, Ashford University in San Diego, CA..
Debra L. Hamada, Loma Linda University in Loma Linda, CA..
Notes
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