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Journal of Oncology Practice logoLink to Journal of Oncology Practice
. 2005 Jul;1(2):57–63. doi: 10.1200/jop.2005.1.2.57

Electronic Health Records

Edward P Ambinder
PMCID: PMC2793588  PMID: 20871681

Forces are aligning to shift American health care into the Information Age: an age which financial institutions, airlines, supermarkets and most manufacturing industries have already entered. The shift, which these institutions have already experienced, will facilitate the establishment and widespread use of standardized databases in health care. The databases are known by the terms electronic medical records (EMRs), electronic health record (EHRs) or personal health records (PHRs).

These forces underlie today's shift towards full use of a universally accepted electronic medical record, electronic health record and for a personal health record:

  • An unprecedented revolution in computer and communication technologies

  • The widespread availability of affordable electronic tools

  • Burgeoning interest among patients in having access to their own medical information

  • Rapid progress in understanding the human genome and proteosome

  • The rising cost of health care

  • The increasing administrative burden upon physicians

  • A perception that medical errors are increasing

  • Demands for widely comparable measures of quality care

  • The need for post-marketing surveys of new drugs

  • Our increasingly mobile society

  • Greater emphasis upon evidence-based medicine

  • Reimbursement incentives that pay for using EHRs and for providing quality care

  • Reduced malpractice premiums for physicians that fully employ these technologies.

What is an Electronic Health Record?

An EMR contains the results of clinical and administrative encounters between a provider (physician, nurse, telephone triage nurse, and others) and a patient that occur during episodes of patient care. Consequently, the EMR reflects the practice style, job function, knowledge and skill of the providers who create it. It necessarily includes data structures and data elements that reflect those providers' systems. In an attempt to bring some structure to this emerging field, in 1991 the Institute of Medicine defined the basic functions of an EMR, then known as the computer-based patient record (CPR). The Institute of Medicine's definition remains the gold standard (see Table 1 on page 58).

To supplement the provider-generated information in the EMR, the personal health record (PHR) is a medical record maintained by the patient. The PHR includes electronic copies of information patients have received from their providers.

Finally, the concept of the EHR was formulated to integrate an individual's multiple, physician-generated, electronic medical records and the patient-generated personal health record. Intended to be comprehensive, the EHR should facilitate optimal management of the health of an individual or, when used in aggregate, of a population. EHRs should allow sharing of information about patients between any authorized providers. A patient should be able to enter any health care setting, provide authorization, and then consult with a provider who has ready access to his complete health record. EHRs should be securely linked over the Internet and should be integrated seamlessly with medical information for the education of both providers and patients. Table 2 lists common functions of an EHR divided by practice, clinical, system, and chemotherapy/drug management components. Table 2 lists some common medical and oncology-specific data elements (data fields) for an electronic health record.

Why Adopt an Electronic Health Record?

The overriding reason for us to use these technologies is to have all of the information we need for patient care, for education, and for practice management readily accessible at the point-of-care. It should not matter whether the computer terminal is in our office, at our clinic workstation, in the examination room, at home, or at the hospital bedside. Oncologists need support for their clinical decisions that is patient-specific, as well as timely reminders. Electronic links across care settings should facilitate collaborative, coordinated approaches among caregivers and enhance the tracking and monitoring of the quality of our care activities.

Other important reasons to use EHRs include reduction of medical errors, reduction of lost or redundant paperwork and support for reimbursement for our work. EHRs can also help the oncology community contribute fully to the development of an efficient national health care system that is based upon evidence-based medicine and responsive to the needs of all constituents. If the National Health Information Infrastructure is activated, EHR implementation should allow us and our patients to participate.

The evolving EHR will include many components linking patients, practices, clinics, imaging centers, hospitals, health plans, laboratories and pharmacies over the Internet in a confidential, secure and standardized format. We will use the Internet for practice management; scheduling, visits, procedures, and laboratory tests; documentation; referrals; prescriptions; patient eligibility; decision support; analyzing patterns of care; error checking; and e-mail communication (see Figure 1).

Figure 1.

Figure 1

Proposed oncology EHR and the National Health Information Infrastructure (NHII)

Just as we use the Internet constantly, so do our patients. Oncologists must begin to guide patients towards credible sources of online medical information posted on the Internet and to routinely document this guidance. These changes go hand in hand with the increasing role of information science in both medicine itself and in public policy decisions regarding medicine, where today's emphasis falls strongly on the improvement of the quality and the coordination of patient care.

Computers today are inexpensive and easy to use. Most physicians today are willing to work in ways that those physicians once resisted, using computer support systems to make decisions and adopting standardized forms of data elements. Most physicians are comfortable using clinical guidelines, working with quality measures, and benchmarking both their practices and their compliance with HIPAA regulations. Clinical oncology, with its emphasis on clinical trials and on the gathering of longitudinal data on patients represents a natural arena for EHRs.

Paying For and Supporting EHR Acquisition

Government and other third-party payers, our patients and other constituents of the health care system now acknowledge that doctors and hospitals alone cannot underwrite the cost of adopting health care information technology since physicians are unlikely to reap most of the financial benefits resulting from technology use. This recognition is a major justification for providing physicians and hospitals with financial incentives to adopt EHRs.

Government and various concerned private parties have begun to address problems holding back widespread adoption of electronic records. Payers have begun to reimburse for electronic communication between patients and their doctors and the public has started to take advantage of this opportunity. Agreements are beginning to be reached regarding needed standards that permit the exchange of data in ways that ensure its security, authenticity and interoperability. Oncologists must ratchet up the level of their participation in the now ongoing process of defining of those tools, functions and datasets that will become components of EHRs.

Government representatives and payers, in an effort to improve the efficiency of our health care system, are also studying treatment patterns and ways to both define and measure the quality of care. They are contemplating offering rewards to physicians who can demonstrate quality improvement, improvement in the experiences that their patients report, and cost-effectiveness of the treatment approaches that they choose.

More Practical Advantages of EHRs

Oncologists today face heavy new administrative loads. Our offices process excessive paper. We face significant delays in obtaining charts and reports that we need. We face huge transcription costs and urgent requirements to protect all the medical information that we collect. In coming years, these challenges will intensify. We will be responsible for more accurate measurements and proofs that we provide quality care. We will have to integrate computer and communication technologies, wireless technologies and personal digital assistants (PDAs) into our daily activities.

We will also have to do better in the battle for fair reimbursement. Concurrently, our oncology practices will also face imperatives that we more strongly adhere to evidence-based medical practices. We will face this staggering array of pressures at the same time that our practices, which generally exist in small groups, are becoming more fragmented and cash starved.

Data that is collected in oncology offices is still mostly recorded on paper. The quantity of this data is staggering. Unlike most digitally recorded data (such as that available on the Internet) our paper-based data cannot be easily searched or analyzed. Using EHRs, physicians can quickly locate information on a given patient's problems, medications and test results. Thus, EHRs can enhance the decision-making process and the communication of decisions via electronic means to others involved. EHRs can confer financial benefits to physicians through reduced costs for transcription and medical record staff. Furthermore, EHRs can improve coding accuracy that enhances patient safety, increases the quality of care and improves the capture of charges. With these efficiencies, EHRs can allow physicians to see patients at a reduced pace. Chart maintenance can be streamlined and documentation for payers assured. Patients can enjoy a higher quality of care when they receive prescriptions, instructions for care and needed summaries of their medical history electronically. Table 3 summarizes some of the potential benefits for oncology practices provided by an EHR.

Table 3.

Benefits of EMRs for Oncology Practices

EHRs can help oncologists perform many tasks more effectively:
Patient care:
Enter physician orders
• Make use of computerized support systems for decision-making
• Prevent drug interactions and improve compliance
• Provide our patients with access to their health records, disease management tools and health information resources
• Reduce errors of omission and commission through the provision of reminders and alerts
• Use clinical guidelines in a timely fashion
• Use examples of best practices
Research and analysis:
• Analyze patterns of cancer care given
• Document both our clinical rationale and the service lines that we have provided
• Measure and benchmark the quality of care provided
• Manage and understand the clinical information we collect
• Facilitate data collection for clinical trials
• Provide a variety of ways to view the same data (such as in free text, database or flow chart formats)
• Provide standards-based electronic data storage and reporting (to support efforts in the areas of patient safety and disease surveillance)
Financial matters:
• Add financial value to “scrubbed” clinical data
• Participate in “pay for use” and “pay for quality” initiatives
• Employ computerized tools designed to streamline scheduling, claims, and the handling of insurance matters
• Ensure secure electronic communication between provider and patient
Fulfillment of general informational needs:
• Provide access to updated and archived medical information in multiple care settings
• Utilize information from the Internet rapidly, whenever needs arise

EHRs will help oncologists create, maintain, edit, display and manipulate all the data in any individual's record. Aggregates of data will reside in a clinical data repository, an extremely large-scale storage database for EHRs that will facilitate research and clinical trials. Table 4, for example, lists data elements for the management of chemotherapy administration.

Table 4.

Chemotherapy Administration Data Elements

Patient name Diluent, amount, mix and time given
Name of protocol Administration route, IV push or infusion
Number of protocol Drug sequence and time
Diagnosis Need for pump, special tubing and filter
Patient height Acute side effects of drugs
Patient weight
BSA (calculated)
Number of office visits required to complete therapy
Drug procurement source Central line placement (if needed)
Drug authorization obtained if needed Fatigue 1-4
Pre-treatment tests and results Nausea & vomiting 1-4
Supportive drugs - pre- & post therapy Pain 1-4
Chemotherapy drugs - automated dose calculation Co-signatures for dose calculations Physician signature

EHRs will facilitate the measurement of many important outcomes for researchers. Oncologists will be able to more readily incorporate clinical guidelines into their daily work by integrating those guidelines into EHRs. Computers will allow the creators of guidelines to obtain virtually instant feedback from intended users of those guidelines regarding their adherence to or departures from the recommendations. This will be valuable in reassessing and revising the guidelines. We will increasingly see collaborative online efforts to bring decision-making support to the oncologist at the point of care. This will foster the growth of evidence-based medicine, reduce medical errors and enforce the documentation of what medical procedures took place and why they were chosen.

The increasing involvement of patients in their own care will be advanced through their ability to access their EHRs online. Patients will be able to maintain copies of their own personal health records, choose physicians, e-mail care providers, make appointments, refill prescriptions and receive prevention and screening reminders. These capabilities will create new roles for oncologists and new responsibilities for patients.

Transition To An EHR May Be Difficult But Is Inevitable

Oncologists already use many software products for practice management. Software already in wide use includes programs designed to handle the following functions: verification of eligibility for insurance; completion of provider forms; provider referrals, patient co-payments; billing; electronic claims; and, in some parts of the country, the filling of prescriptions electronically. Yet fewer than 5% of practicing oncologists use EHRs for reasons that reflect a great many legitimate concerns.

One reason is that standards defining software tools, functions or datasets for electronic records are not yet well-established. Another is that patient data remains highly insecure. Furthermore, physicians worry about how quickly software programs can become obsolete and about the viability of software vendors. They are discouraged by the fact that often one EHR program cannot easily exchange information with another.

Oncologists still face several barriers that they must overcome in order to advance the universal adoption of EHRs (see Table 5). Yet for the first time, our country does have a goal for the universal use of EHRs and a framework for strategic action towards that goal. A consensus exists on the functions to be implemented in an EHR and standards are being established. Investments in health care information technology are increasing and serious studies have addressed the economic factors involved including expected returns on investments in EHRs and reimbursements for the cost of switching to EHRs. Bipartisan support prevails in Congress for enhanced health care information technology, backed by a strong commitment from the President. Concerned players are reaching the needed agreements on the necessary standards, in acknowledgment of the need for EHR applications to easily talk with one another.

Table 5.

Barriers to adoption of the EHR

Process
    Imperfect user interface platform
    Art of medicine not quantifiable
    Fragmentation of medical information
    Fitting into the office workflow
    Fear of typing
    Quality of data
    Parochialism
    Time
    Lack of critical mass
    Difficulty of integration with legacy
    systems
    Training and culture
    Resistance to change
Technical infrastructure
    Lack of standards
    Lack of standardized vocabulary
    Lack of interoperability
Free Text entry vs. structured data Regulatory and privacy uncertainties
    Security
    Confidentiality
Financing
    Lack of capital
    Cost and concerns of ROI
    Lack of financial incentives
    Lack of cost benefits perceived by physician
Shortage of technical personnel

We no longer have the luxury of deciding for ourselves about the adoption of health care informatics. Payers, society, and the other major stakeholders have set our task for use. Our challenge now is to use these technologies to the fullest advantage. By doing so, we will most capably address the wide array of challenges that our practices face. Health care informatics can improve ways in which we and our staffs carry out nearly every aspect of our practices, even in the way we connect humanly to our patients. Our success as clinicians and as managers of our practices will depend on our commitment to educate ourselves and to adopt expeditiously.

Readers can find more information on EHRs at:

See Report and Recommendations from the National Committee on Vital and Health Statistics. A Strategy for Building the National Health Information Infrastructure. Washington DC, November 15, 2001, for a review of the National Health Information Infrastructure

See Stead et al for more information on the essential components of an EHR and the NHII. (Stead WW, Kelly BJ, Kolodner RM. Achievable steps toward building a National Health Information Infrastructure in the United States. J Am Med Inform Assoc. 2005;12:113-120.)

For reports criticizing the US health care system for information technological incompetence:

See the President's Information Technology Advisory Council report at http://www.itrd.gov/pubs/pitac/pitac-hc-9feb01.pdf.

Also see reports from the Institute of Medicine:

Table 1.

EHR functions

Practice Management
Automated charge entry from EHR
Benchmark practices: quality and cost-effectiveness
Clinical EHR and financial system integration
Coding: ICD-9, CPT, J-codes
Communication management: E-mail,Telephone/Fax
Contacts management
Cost-effectiveness analyses
Differential diagnostic software integration
Disease surveillance
Disease/symptom-based templates and automated pick lists
Document quality measures in office
Documentation office visits (CMS E/M guidelines)
Electronic billing & insurance
Electronic claims
Electronic consults
Financial analysis of practice
Guideline, disease management and algorithm integration
Health services research
Hospital admission and discharge management
Image filing
Insurance eligibility verifications
Lab orders, online
Outcomes measurement
Patient co-payments
Patient demographics
Patient education/handouts/Internet sites
Patient satisfaction measurement
Patterns of care
Practice population analysis
Practice Web portal
Provider forms completion
Provider Information
Quality Assurance
Quality of life measurement
Referral ordering/tracking
Results reporting
Scheduling chemotherapy administration
Scrubbed clinical and demographic data capabilities
Security (audits, pw, user access hierarchy)
Software interfaces with practice management, lab,imaging, hospital, payer and pharmacy systems
Statistics package
Timeliness of care measurement
Clinical Management
Cancer diagnosis
Chemotherapy history
Chief complaints
Clinical guidelines
Clinical pathways
Clinically structured messages, customized
Demographic information
Document clinical rationale and service lines provided
E-Mail with patients
End of life tools: Health care proxies, living wills, power of attorney
Flow charts
Follow up
Functional status
Health maintenance
History present illness
Immunizations
Immunotherapy history
Internet library and searching services
Medical calculators
Nomograms
Online textbooks and compendia integration
Operative reports
Past medical history
Pathology: H & E, IHC, chromosomal abnormalities, gene expression, proteomics
Patient handouts
Personal Health Record
Personal history
Physical examination
Problem lists active/inactive
Progress notes
Radiation oncology history
Recurrence
Reminders and alerts
Response and survival parameters
Review of Systems
Staging tools: TNM
Surgical history
Survival analyses
Symptom management: physical, psychological, spiritual and social
Template-based tools for Encounters and Visits (macros and expanded text)
Treatment plans and instruction
Toxicity and adverse reactions management (Common Toxicity Criteria)
Tumor measurements
Vital signs
System Management
Application Specific Program (ASP) aware
Appointment scheduler
Audio/Video capture
Audit trail log
Back up: local and remote
Cellular connectivity
Clinical trials and basic science research tools (CaBIG) aware
Controlled clinical vocabulary: SNOMED-CT, UMLS, CaBIG(NCI)
Data formats interchangeable: free text, database or flow chart
Data mining tools
Data warehouse
Decision support: drug interactions, allergies, and ddx
Dial-In Access
Dictation aware
Document management/scanning
E/M Code and CPT Code analysis and documentation
Electronic Data Repository
E-mail aware
Episodes of care tracking
Expandability (Scalability)
Fax handling
Flow chart (electronic)
Granularity (user hierarchy)
Graphic, photos and sketch handling
Handwriting recognition
HIPAA compliant
HL7 interoperability standards compliant
Hospital information system integration
Imaging interfaces, commercial
Immunization maintenance
Internet connectivity
Lab interfaces, commercial
Multiple cancer diagnoses per patient
Multiple views of data: freetext, database, flowsheet
Office notes and forms, customizable
Operating system neutrality
PDA connectivity
Personal Health Records for patients
Personalized view of data: by user
Physician order entry
Populate compatible practice management system (mapping, import and export tools)
Populate external database repositories: SEER, NCDB, Tumor Registries
Referral management
Remote log-on
Report filer (Labs/Imaging/Procedures/Progress notes/ER visits, Discharge summaries)
Report generator (customizable)
Track e-mail & phone messages
Transcription handling
User demographics
Utilization management
Voice recognition
Wireless connectivity
Chemotherapy/Drug Management
Allergy checking
Alternative medications
Chemotherapy balance sheet analyses
Chemotherapy coding and reimbursement management
Chemotherapy dosage calculator
Chemotherapy inventory management
Chemotherapy lifetime dose
Chemotherapy order sets
Chemotherapy regimens management
Contraindication checking
Decision support: drug interactions, allergies, and ddx
Drug-Drug interaction checking
Electronic pharmacy system interface
E-prescription and refill maintenance
Flow Charts
J codes compliant
Medication lists, current and historical
Pain management tools
Payer formulary management

Table 2.

Data elements for personal, provider, and oncology health records

Personal Health Data Elements Provider Data Elements Oncology Data Elements
Patient Identification elements Historical
    Date diagnosis
    Cancer diagnosis
    Primary site
    Subsite
    Laterality
    Prior Rx
Staging primary disease
    Date staged
    Geographic site
    Primary location size
    Nodes
    Metastatic sites
    T | N | M
    Stage
    Tumor status
Staging metastatic disease
    Date
    site(s)
    Subsite
    Histology
    Same as primary
    in situ
    Residual
    Lesion size
    Volume
    Status
    Link with Primary(?)
Pathology
    Date diagnosis
    Site
    Gross
    Morphology
    Markers
    Histology
    Grade
    Maximum diameter
    Volume
    Vascular involvement
    Lymph involvement
    Margins
    Character
    Size
    Synchrony
    DNA ploidy
    Receptors
    Histochemistry
    Genetics
Currency
    Current Rx modalities
    Status
    Response
    Rx intent
    Rx toleration
    Rx toxicity
    Performance status
    Pain level
    Fatigue
levelSurgery/Procedure
    Date
    Procedure
    Purpose
    Hospital
    Sentinel nodes
    Complications
    Operative findings
    % Debulked
    Surgeon
    Time Procedure
    Estimated blood loss
    Transfusion
Radiation therapy
    Purpose
    Location
    Dose
    Start/End date
    Response
    Progression date
Chemotherapy
    Regimen (drugs)
    Purpose
    Start/End date
    Ht Wt BSA
    Response
    Cycles #
    Cycle dates
    Progression date
    Protocol name
    Group
    Protocol #
    Patient #
Immunotherapy
    Regimen
    Purpose
    Start/End date
    Response
    # cycles
    cycle length
    Progression date
    Protocol name
    Group
    Protocol #
    Patient #
Recurrence
    rT | rN | rM
    rStage
    Date
    Site(s)
    Subsite
    Histology
    Same as primary
    in situ
    Residual
    Lesion size
    Volume
    Status
    Link with Primary (?)
Follow up
    Last date seen
    DNR
    Date of death
    Autopsy findings
Emergency contacts
Lifetime health history
    immunizations, allergies, family history, occupational history, environmental exposures, social history, medical history, treatments, procedures, medicines, outcomes
Laboratory results
Emergency care information
Provider identification and contact information
Treatment plans and instructions
Health risk factor profile, preventive services and results
Health insurance coverage information
Correspondence
Access and confidentiality information
Audit log
Self-care trackers: nutrition, activity, medication
Health care proxies, living wills, power of attorney
Sociodemographic identifiers
    gender, birthday, age, race/ethnicity, marital status, living arrangement, educational level, occupation
Legal consents or permission
Referral information
Reason for visit
External causes injury/illness
Symptoms
Physical exams
Assessment of patient signs and symptoms
Toxicity assessments
Diagnoses
Orders for lab, radiology and pharmacy
Laboratory results
Radiological images and interpretations
Records of alerts, warnings and reminders
Operative reports
Vital signs
Treatment plans and instructions
Progress Notes
Functional status
Discharge summaries
Outcome analyses
Provider notes
Protocols
Practice guidelines
Clinical decision-support programs
Referral history

DNR = do not resuscitate; Ht Wt BSA = height, weight, body-surface area; T | N | M = tumor-node-metastasis Table reproduced from Cancer Medicine, 6th Edition, American Cancer Society and BC Decker, Inc., 2003


Articles from Journal of Oncology Practice are provided here courtesy of American Society of Clinical Oncology

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