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. 2015 Nov 1;12(Fall):1f.

Adoption and Barriers to Adoption of Electronic Health Records by Nurses in Three Governmental Hospitals in Eastern Province, Saudi Arabia

Azza El Mahalli 1
PMCID: PMC4632875  PMID: 26604875

Abstract

Although electronic health records (EHRs) have been implemented in many hospitals and healthcare providers benefit from their effective and efficient data processing, their evaluation from nurses has received little attention. This project aimed to assess the adoption and barriers to the use of an EHR system by nurses at three governmental hospitals implementing the same EHR software and functionalities in Eastern Province, Saudi Arabia. The study was a cross-sectional, paper-based questionnaire study. SPSS version 20 was used for data entry and analysis, and descriptive statistics were calculated. The study found underutilization of almost all functionalities among all hospitals and no utilization of any communication tools with patients. In addition, there were no instances of “allowing patients to use the Internet to access parts of their health records.” The most frequently cited barrier among all hospitals was “loss of access to medical records transiently if computer crashes or power fails” (88.6 percent). This was followed by “lack of continuous training/ support from information technology staff in hospital” (85.9 percent), “additional time required for data entry” (84.9 percent), and “system hanging up problem” (83.8 percent). Complexity of technology (81.6 percent) and lack of system customizability (81.1 percent) were also frequently reported problems. The formation of an EHR committee to discuss problems with the system in Saudi hospitals is recommended.

Keywords: EHR, use, barriers, nurses, Saudi Arabia

Introduction

Health information technology benefits both patients and providers with respect to healthcare quality.1 Health information technology is defined as “the application of information processing involving both computer hardware and software that deals with the storage, retrieval, sharing, and use of health care information, data, and knowledge for communication and decision making.”2 Adapting to technological innovations represents a key process for improving and restructuring healthcare.3, 4, 5, 6 Electronic health records (EHRs) have been touted as an essential component in the transformation of the healthcare industry.7 Technological developments have exposed nursing personnel to new tasks and responsibilities in many areas of practice.8, 9, 10, 11 Nurses are the largest segment of the healthcare workforce in the acute care setting; thus, nurses' advocacy of the EHR is a key factor influencing its adoption.12

Adoption of EHRs continues to progress rapidly within the healthcare industry. This new technology reshapes healthcare at all levels of the industry, especially nursing.13 Since this technology first became popular, nursing professionals have used computer systems in patient care.14, 15, 16, 17 Both medical secretaries and nurses are important users of hospital information systems, utilizing both the EHR and the administrative part of the system. The medical secretaries work as transcriptionists, receptionists, and coordinators of patient logistics and communication, and the nurses have their own documentation and administrative routines.18 Nurses interact most with EHR systems as a result of the nature of their work. They make nursing diagnoses,19 check physician orders,20 write nursing care plans,21 record vital signs, and sometimes transcribe physician orders,22 among other roles.

Although EHRs have been implemented in many hospitals and healthcare providers benefit from their effective and efficient data processing, the evaluation of EHRs by nurses who provide 24-hour patient care23 has received little attention.24, 25 It has been acknowledged in recent years that technology and therefore computerization will contribute to the decision-making capabilities and skills of nurses, improve the quality of healthcare, reduce the costs of services,26, 27 and improve the safety of care.28, 29

However, EHR systems have yet to be widely adopted for several reasons,30, 31 including the high cost of implementation, users' resistance to technology, concerns regarding practice disruption and loss of productivity, fear of technology failure, and the inability of some EHR implementations to integrate with existing healthcare systems.32, 33, 34 Furthermore, unintended adverse consequences can surround the implementation and ongoing maintenance of these systems.35, 36, 37 Recently, new kinds of medical errors have occurred, have negatively affected patient outcomes, and have resulted in higher overall medical costs for institutions implementing some EHR systems.38, 39, 40 Thus, ongoing analysis of EHRs is needed to understand barriers experienced by users and to help find solutions.

Gap of Knowledge

One study found that nursing assessments and the work associated with EHR implementation increases the demand for nurses' hours per patient day by 15 to 26 percent.41 However, the evaluation of EHR systems from the user viewpoint, and especially that of nurses, has received little attention.42 In a study conducted in Turkey, nurses' views on electronic medical record systems were investigated in terms of use, quality, and user satisfaction. The study was conducted on nurses working in inpatient care units at one public university hospital, one Turkish Ministry of Health hospital, and one private hospital in Turkey. The mean score of use was very low in comparison to the mean scores of quality and user satisfaction.43 However, nurses' evaluations of EHR adoption and barriers they experienced in the Saudi Ministry of Health sector have not been widely investigated and analyzed. Therefore, the author thinks that this study will be original to the Saudi healthcare system.

This research is a follow-up to an earlier study conducted in 2010.44 The survey tool from the previous study was used in this research. However, the target population in this study was nurses instead of the heads of information technology departments. The Saudi Ministry of Health intends to apply this new EHR software in all governmental hospitals. Therefore, measuring its adoption rate and barriers is crucial to decision makers at the central level.

The project aimed to assess adoption and barriers of EHR system by nurses at three governmental hospitals implementing the same EHR software and functionalities in Eastern Province, Saudi Arabia.

Material and Methods

The study was conducted in three governmental hospitals adopting a new EHR system in Eastern Province, Saudi Arabia. These are general hospitals affiliated with the Ministry of Health. Two of the hospitals each have more than 300 beds. The third hospital has 150 beds and is located in a town near the border of Saudi Arabia and Kuwait.

The departments that participated in the study were as follows: surgery/anesthesia (general, plastic, and orthopedics), medical (internal medicine, nephrology, cardiology, diabetes mellitus and endocrinology, chest diseases, pediatric, and neurology and psychiatry), emergency departments (emergency room and intensive care unit), ancillary services (physiotherapy, laboratory, and radiology), and others (dentistry, dermatology, ophthalmology, and ear, nose, and throat departments). These departments had adopted the EHR at the time of data collection.

The study design was cross-sectional, and the data collection tool was a self-administered, paper-based questionnaire. The response choices for the use of functionalities of the EHR consisted of “used” or “not used.” Formal approval was obtained before the research was conducted. The questionnaire was pilot tested by eight nurses in one of the study hospitals, and no changes were made. The questionnaire was distributed to nurses in February 2012. Confidentiality of the data collected from nurses was ensured. A convenience sample of the nurses using the EHR system who were available at time of data collection was included. Questionnaires were distributed as follows:

Hospital A: Questionnaires were distributed to 110 potential participants. However, only 67 participated. The response rate was 60.9 percent.

Hospital B: Questionnaires were distributed to 130 potential participants. However, only 78 participated. The response rate was 60 percent.

Hospital C: Questionnaires were distributed to 65 potential participants. However, only 40 participated. The response rate was 61.5 percent.

The questionnaire collected the following data:

Demographics of nurses (age, gender, nationality, years in nursing practice); department; computer literacy (computer availability at the workplace, ever attending a computer course, self-rated computer skills); and duration of EHR experience.

Different functionalities of the EHR system45 including the following:

1. Chart review

  1. Obtain and review lab results

  2. Obtain and review radiology results

  3. Obtain and review other test results

  4. Create and review scanned documents

  5. Review progress notes

  6. Monitor current and past medications and medication refills

2. Decision support

  1. Receive drug interaction alerts when writing prescriptions

  2. Receive drug allergy alerts when writing prescriptions

  3. Highlight test results that are out of normal range

  4. Clinical guidelines

3. Order entry

  1. Enter lab orders

  2. Enter radiology orders

  3. Enter pharmacy orders

4. Documentation

  1. Create and maintain patient-related medical problem list

  2. Create and maintain common medication list

  3. Identify patient-specific allergies

  4. Document patient discharge instructions

5. Communication with other providers: e-mail, fax, and mobile phone short message service (SMS)

6. Additional tools

  1. Managing patient referrals

  2. Allowing patients to use the Internet to access parts of their health records

  3. International Classification of Diseases (ICD) codes

  4. Generating health statistics

  5. Data backup and disaster recovery

Barriers to the utilization of EHR systems, identified in a literature review,46, 47, 48, 49, 50, 51 such as:

1. Confidentiality, security, and data privacy (e.g., place of computer)

2. Loss of access to medical records transiently if computer crashes or power fails

3. Speed of utilizing the EHR system

4. Additional time required for data entry (i.e., more workload)

5. Complexity of technology

6. Disturbed communication

7. Lack of belief in EHR adoption

8. Lack of customizability of the system according to users' needs

9. Lack of continuous training/support from information technology staff in hospital

10. Problem with drug alert system (e.g., drug interactions, drug allergy, etc.)

11. Lack of pregnancy alert system

12. System hanging up problem

Response choices for barriers were yes and no.

SPSS version 20 was used for data entry and analysis. Descriptive statistics were calculated. Differences between groups were measured using chi-square and Monte Carlo tests. The statistical significance was determined at p ≤ .05. The data collection tool was not tested for validity or reliability.

Results

Results (see Table 1) revealed that mean age of nurses was 29.31 ± 6.44 years. Nurses were mostly women (94.1 percent) and Saudis (55.7 percent). The difference between hospitals regarding age and nationality was statistically significant (p < .05). Nurses younger than 30 years and Saudis were the highest users of the EHR, especially in hospital A. The mean number of years of nursing experience was 6.26 ± 5.71 years, and the mean number of years of EHR experience was 2.08 ± 0.86 years. Regarding computer literacy, most of the nurses had a computer at their workplace (98.9 percent). The highest percentage of nurses self-rated their computer skills as “average” (66.5 percent, p < .05). Most of the nurses had not attended a computer course (51.4 percent, p < .05).

The survey revealed underutilization of almost all EHR functionalities among all hospitals (see Table 2). For chart review, “obtain and review lab results” represented the highest frequency of use (86.5 percent, p < .05). However, the rest of the functionalities showed lower utilization rates. Concerning decision support, “highlight test results that are out of normal range” showed the highest frequency of utilization (59.5 percent, p < .05). For order entry, “enter lab orders” represented the highest frequency of utilization (62.7 percent, p < .05). With respect to documentation, “document patient discharge instructions” was the most frequently used functionality (62.7 percent, p < .05). There was no utilization of any communication tool with other providers (e-mail, fax, or SMS). For additional tools, “managing patient referrals” was the most frequently used functionality (40.5 percent, p < .05).

The most frequently cited barriers among all hospitals (see Table 3) were “loss of access to medical records transiently if computer crashes or power fails” (88.6 percent). This was followed by “lack of continuous training/support from information technology staff in hospital” (85.9 percent), “additional time required for data entry (i.e., more workload)” (84.9 percent), and then “system hanging up problem” (83.8 percent). Complexity of technology (81.6 percent) and lack of customizability of the system according to users' needs (81.1 percent) were also frequently reported problems.

Discussion

Over the past 20 years, research findings have accelerated our knowledge of healthcare providers' opinions about adopting and using information technology in healthcare.52, 53 Nurses in Saudi Arabia currently cannot fully utilize computer technology in their practices, and their use of computerized systems was, in general, limited to certain functions, including “obtain and review lab results,” “highlight test results that are out of normal range,” “enter lab orders,” “document patient discharge instructions,” and “managing patient referrals.” On the other hand, other functionalities such as “review progress notes,” “receive drug allergy alerts when writing prescriptions,” “enter pharmacy orders,” and “identify patient-specific allergies” were underutilized. In addition, there was no utilization of functionalities “allowing patients to use the Internet to access parts of their health records.” These findings go hand in hand with those of studies conducted in Turkey, where most EHR functionalities related to nursing were poorly utilized.54, 55

Nurses not utilizing health informatics will not be able to view the entries of other healthcare professionals, which may result in communication issues within the team and, in turn, may affect the quality of nursing care.56 Results of the present study showed no utilization of any communication tool with other providers (e-mail, fax, or SMS). This finding was likely due to lack of access to the Internet inside these hospitals at the time of data collection. Access to e-mail or web communications can allow staff to seek specialist advice from remote physicians. 57,58In addition, Internet access allows more flexible system designs with external communication of data and off-site backup.59

An immediate benefit of the use of EHRs is the increased accessibility of the patient record. Healthcare providers who want information are no longer limited by the boundaries of wards and time because the record is always available from different places.60 However, participants in the present study cited “loss of access to medical records transiently if computer crashes or power fails” as the most frequent problem (88.6 percent). Prolonged system failures (lasting hours) can so dramatically halt the flow of clinical information that outpatient activities may be curtailed or canceled and emergency rooms at trauma centers may divert admissions until vital systems are restored. The more widely and deeply diffused the technology, the more difficult it becomes to work without it. Planning for management of unexpected downtime is critical.61

When an organization gears up for the implementation of an EHR system, restraining forces should be identified, and suggestions for minimizing these restraining forces should be provided to the EHR implementation team.62 Healthcare providers are still concerned with privacy and security, workflow changes, distraction from direct patient care, and other unintended consequences of using EHRs.63, 64, 65 The present study demonstrated that nurses reported problems with confidentiality, security, and data privacy (e.g., place of computer) (72.4 percent, p < .05).

A study conducted in Turkey on nurses' views in three hospitals representing different health sectors found that 59 percent of participants felt that EHR systems were not well integrated into their workflow. In addition, half of all respondents had not been trained in using EHR systems.66 The same problem was reported in another study, in which nursing staff found that the EHR system was implemented well, but follow-up problems and necessary additions and changes were largely ignored by information technology staff.67 This finding is parallel to those of the present study, in which “lack of continuous training/support from information technology staff in the hospital” was the second most frequently reported problem experienced by nurses (85.9 percent). These results are believed to provide guidance in planning and implementing computer training programs for nurses in Saudi Arabia.

Clinical workflows are complex, and clinical computer technology integration significantly influences healthcare workflows.68, 69, 70 Modeling clinical workflows is difficult because clinical practice is inherently complex, interruption driven, and constantly changing. No EHR system fits all workflows of a given hospital perfectly. Even if a system initially did so, it would not eliminate the need for constant adaptation to changing workflows in the future.71 This finding is in line with the current study, which identified lack of customizability of the system according to users' needs as a common problem (81.1 percent).

EHR systems often dramatically alter traditional communication patterns among care providers, ancillary services, and clinical departments. The EHR, a computer system, replaces the nexus of previously interpersonal conversations regarding provision of care.72 The present study demonstrated that 77.8 percent of nurses cited “disturbed communication” as a barrier. However, another study revealed that the majority of nurses (n = 160, 64.8 percent) agreed that an EHR increased patient safety via improved communication among members of the patient care team.73

A study conducted by Miller and Sim identified that difficulties with technology are an important barrier hindering utilization of EHRs.74 In addition, a majority of nurses in another study expressed frustrating experiences related to operational failures such as software issues (screen abruptly shutting off or freezing), power loss, difficulties logging on due to forgotten passwords, and difficulty with scanning a particular medication.75 These findings correspond with those of the present study, in which 81.6 percent of nurses identified complexity of technology as a barrier.

EHR systems can significantly increase clinician workload.76 This finding was reflected in the present study, in which 84.9 percent of nurses complained of “additional time required for data entry (i.e., more workload).” Developers should rework clinical system interfaces to reduce the collection of redundant information, display relevant information in logical locations, and reduce the amount of required typing. The lesson is that more work for the clinician is inevitable and must be addressed in the planning process. Successful implementations balance required new work with system-based reductions in old work to make the use of the system tolerable to users.77

As technology diffuses and becomes entrenched within organizations, clinical care delivery becomes inextricably dependent on it.78, 79 System failures affect clinical work when paper backup systems are not in place. Nurses in the current study experienced barriers related to “system hanging up problem” (83.8 percent) and “speed of utilizing EHR system (minimal wait between screens, minimal boot-up time, etc.)” (82.7 percent).

Lack of perceived benefit for users was one important pitfall in the implementation of EHR systems in developing countries.80, 81 This finding was parallel to those of the present study, in which 77.3 percent of nurses reported “lack of belief in EHR adoption” as a barrier.

Accordingly, aggressive detection and management of adverse unintended consequences is vital for EHR success.82

Conclusions and Recommendations

Underutilization of almost all EHR functionalities was identified among all study hospitals, as was identified in studies conducted in Turkey and other developing countries. There was no use of any communication tool with other providers (e-mail, fax, or SMS). Many barriers were cited by nurses employed in the hospitals in this study. Study results can be generalized because the sample included all available nurses at the three hospitals adopting EHRs in Eastern Province, Saudi Arabia, at time of data collection. In addition, nurses from all the departments that had adopted the EHR system in each hospital were included.

The following recommendations are offered to improve the utilization of EHRs in Saudi Arabia:

1. Periodic assessments should be conducted to assess the extent of utilization of different system functionalities and make improvements accordingly.

2. Orientation training should be provided for new nurses, and continuous training should be provided for current nurses. In addition, the hospitals should coordinate with the EHR system vendor to conduct initial and follow-up training.

3. Information technology technical support should be available 24 hours a day in the hospitals.

4. Improvements to communication tools for use with patients, such as SMS and fax, should be made by the information technology staff.

5. Attention should be directed to the use of e-mail between nurses and with other providers. To use this functionality, Internet access will need to be provided in the hospitals.

6. The Ministry of Health must customize the EHR system according to each hospital's needs.

7. Nurse managers and/or informatics personnel could conduct periodic focus groups with nurses (and other healthcare professionals) to identify and discuss perceived benefits and limitations of the current EHR system. In addition, each hospital should develop a communication mechanism (perhaps a newsletter or web page) that summarizes the EHR issues perceived by the staff nurses along with the hospital's planned response.

8. An EHR committee should be formed to discuss problems with the EHR system in Saudi hospitals. This team should include members from all disciplines.

Source of Funding

The Deanship of Scientific Research at University of Dammam in Saudi Arabia funded this study (project code 2012145).

Acknowledgment

This work could not have been completed without the help of graduates of the health information management and technology program in the College of Applied Medical Sciences at the University of Dammam. They were responsible for data collection.

Footnotes

Azza El.Mahalli, MD, PhD. “Adoption and Barriers to Adoption of Electronic Health Records by Nurses in Three Governmental Hospitals in Eastern Province, Saudi Arabia.” Perspectives in Health Information Management (Fall 2015): 1–16.

Notes

  • 1.Zadvinskis I. M., Chipps E., Yen P. Y. Exploring Nurses' Confirmed Expectations Regarding Health IT: A Phenomenological Study. International Journal of Medical Informatics. 2014;83:89–98. doi: 10.1016/j.ijmedinf.2013.11.001. [DOI] [PubMed] [Google Scholar]
  • 2.Office of the National Coordinator for Health Information Technology. Glossary. Available at http://www.healthit.gov/unintended-consequences/content/glossary.html#h.
  • 3.André B., Ringdal G. I., Loge J. H., Rannestad T., Kaasa S. The Importance of Key Personnel and Active Management for Successful Implementation of Computer-based Technology in Palliative Care: Results from a Qualitative Study. Computers, Informatics, Nursing. 2008;26(4):183–89. doi: 10.1097/01.NCN.0000304802.00628.70. [DOI] [PubMed] [Google Scholar]
  • 4.André B., Ringdal G. I., Loge J. H., Rannestad T., Laerum H., Kaasa S. Experiences with the Implementation of Computerized Tools in Health Care Units: A Review Article. International Journal of Human-Computer Interaction. 2008;24(8):753–75. [Google Scholar]
  • 5.Kokol P., Zazula D., Brumec V., Kolenc L. Nursing Informatics Education for the Next Millennium. Future Generation Computer Systems. 1999;15:211–16. [Google Scholar]
  • 6.Chan M. F. Factors Affecting Knowledge, Attitudes, and Skills Levels for Nursing Staff toward the Clinical Management System in Hong Kong. Computers, Informatics, Nursing. 2009;27(1):57–65. doi: 10.1097/NCN.0b013e31818dd3b0. [DOI] [PubMed] [Google Scholar]
  • 7.Laramee A. S., Bosek A. M., McRae H. S., Phaneuf F. T. A Comparison of Nurse Attitudes Before Implementation and 6 and 18 Months After Implementation of an Electronic Health Record. Computers, Informatics, Nursing. 2012;30(10):521–30. doi: 10.1097/NXN.0b013e3182573b04. [DOI] [PubMed] [Google Scholar]
  • 8.André B., Ringdal G. I., Loge J. H., Rannestad T., Kaasa S. The Importance of Key Personnel and Active Management for Successful Implementation of Computer-based Technology in Palliative Care: Results from a Qualitative Study. doi: 10.1097/01.NCN.0000304802.00628.70. [DOI] [PubMed] [Google Scholar]
  • 9.André B., Ringdal G. I., Loge J. H., Rannestad T., Laerum H., Kaasa S. Experiences with the Implementation of Computerized Tools in Health Care Units: A Review Article. [Google Scholar]
  • 10.Kokol P., Zazula D., Brumec V., Kolenc L. Nursing Informatics Education for the Next Millennium. [Google Scholar]
  • 11.Chan M. F. Factors Affecting Knowledge, Attitudes, and Skills Levels for Nursing Staff toward the Clinical Management System in Hong Kong. doi: 10.1097/NCN.0b013e31818dd3b0. [DOI] [PubMed] [Google Scholar]
  • 12.Laramee A. S., Bosek A. M., McRae H. S., Phaneuf F. T. A Comparison of Nurse Attitudes Before Implementation and 6 and 18 Months After Implementation of an Electronic Health Record. doi: 10.1097/NXN.0b013e3182573b04. [DOI] [PubMed] [Google Scholar]
  • 13.Bates D. W. The Quality Case for Information Technology in Healthcare. BMC Medical Informatics and Decision Making. 2002;2:7–25. doi: 10.1186/1472-6947-2-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Getty M., Ryan A. A., Ekins M. L. A Comparative Study of the Attitudes of Users and Non-users towards Computerized Care Planning. Journal of Clinical Nursing. 1999;8(4):431–39. doi: 10.1046/j.1365-2702.1999.00273.x. [DOI] [PubMed] [Google Scholar]
  • 15.Gremy F., Fessler J. M., Bonnin M. Information Systems Evaluation and Subjectivity. International Journal of Medical Informatics. 1999;56:13–23. doi: 10.1016/s1386-5056(99)00034-9. [DOI] [PubMed] [Google Scholar]
  • 16.Lee F. W. Adoption of Electronic Medical Records as a Technology Innovation for Ambulatory Care at the Medical University of South Carolina. Topics in Health Information Management. 2000;21(1):1–20. [PubMed] [Google Scholar]
  • 17.Lee T. T., Lee T. Y., Lin K. C., Chang P. C. Factors Affecting the Use of Nursing Information Systems in Taiwan. Journal of Advanced Nursing. 2005;50(2):170–78. doi: 10.1111/j.1365-2648.2005.03376.x. [DOI] [PubMed] [Google Scholar]
  • 18.Lærum H., Ellingsen G., Faxvaag A. Doctors' Use of Electronic Medical Records Systems in Hospitals: Cross Sectional Survey. BMJ. 2001;323:1344–48. doi: 10.1136/bmj.323.7325.1344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Lee T. T., Yeh C. H., Ho L. H. Application of a Computerized Nursing Care Plan System in One Hospital: Experience of ICU Nurses in Taiwan. Journal of Advanced Nursing. 2002;39(1):61–67. doi: 10.1046/j.1365-2648.2002.02242.x. [DOI] [PubMed] [Google Scholar]
  • 20.Roemer L. K., Richardson S. J., Sward K., Tilley C. Redundancy in a Computer-generated Order List: Meeting the Needs of Nurses at Various Levels of Practice Expertise. Computers, Informatics, Nursing. 2005;23(2):73–82. doi: 10.1097/00024665-200503000-00006. [DOI] [PubMed] [Google Scholar]
  • 21.Lee T. T. Evaluation of Computerized Nursing Care Plans: Instrument Development. Journal of Professional Nursing. 2004;20(4):230–38. doi: 10.1016/j.profnurs.2004.05.001. [DOI] [PubMed] [Google Scholar]
  • 22.Aronsky D., Haug P. J. Assessing the Quality of Clinical Data in a Computer-based Record for Calculating the Pneumonia Severity Index. Journal of the American Medical Informatics Association. 2002;7(1):55–65. doi: 10.1136/jamia.2000.0070055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Otieno O. G., Toyama H., Asonuma M., Kanai-Pak M., Naitoh K. Nurses' Views on the Use, Quality and User Satisfaction with Electronic Medical Records: Questionnaire Development. Journal of Advanced Nursing. 2007;60(2):209–19. doi: 10.1111/j.1365-2648.2007.04384.x. [DOI] [PubMed] [Google Scholar]
  • 24.Zadvinskis I. M., Chipps E., Yen P. Y. Exploring Nurses' Confirmed Expectations Regarding Health IT: A Phenomenological Study. doi: 10.1016/j.ijmedinf.2013.11.001. [DOI] [PubMed] [Google Scholar]
  • 25.Top M., Yilmaz A., Gider O. Electronic Medical Records (EMR) and Nurses in Turkish Hospitals. Systemic Practice and Action Research. 2013;26:281–97. [Google Scholar]
  • 26.Alquraini H., Alhashem A. M., Shah M. A., Chowdhury R. I. Factors Influencing Nurses' Attitudes towards the Use of Computerized Health Information Systems in Kuwaiti Hospitals. Journal of Advanced Nursing. 2007;57(4):375–81. doi: 10.1111/j.1365-2648.2007.04113.x. [DOI] [PubMed] [Google Scholar]
  • 27.Lee T. Nurses' Concerns about Using Information Systems: Analysis of Comments on a Computerized Nursing Care Plan System in Taiwan. Journal of Clinical Nursing. 2005;14:344–53. doi: 10.1111/j.1365-2702.2004.01060.x. [DOI] [PubMed] [Google Scholar]
  • 28.Struik M. H. L., Koster F., Schuit A. J., Nugteren R., Veldwijk J., Lambooij M. S. The Preferences of Users of Electronic Medical Records in Hospitals: Quantifying the Relative Importance of Barriers and Facilitators of an Innovation. Implementation Science. 2014;9:69. doi: 10.1186/1748-5908-9-69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ben-Assuli O. Electronic Health Records, Adoption, Quality of Care, Legal and Privacy Issues and Their Implementation in Emergency Departments. Health Policy. 2015;119(3):287–97. doi: 10.1016/j.healthpol.2014.11.014. [DOI] [PubMed] [Google Scholar]
  • 30.Struik M. H. L., Koster F., Schuit A. J., Nugteren R., Veldwijk J., Lambooij M. S. The Preferences of Users of Electronic Medical Records in Hospitals: Quantifying the Relative Importance of Barriers and Facilitators of an Innovation. doi: 10.1186/1748-5908-9-69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Ben-Assuli O. Electronic Health Records, Adoption, Quality of Care, Legal and Privacy Issues and Their Implementation in Emergency Departments. doi: 10.1016/j.healthpol.2014.11.014. [DOI] [PubMed] [Google Scholar]
  • 32.Oren E., Shaffer E., Guglielmo B. Impact of Emerging Technologies on Medication Errors and Adverse Drug Events. American Journal of Health-System Pharmacy. 2003;60(14):1447–58. doi: 10.1093/ajhp/60.14.1447. [DOI] [PubMed] [Google Scholar]
  • 33.Sprague L. Electronic Health Records: How Close? How Far to Go? NHPF Issue Brief. 2004;800:1–17. [PubMed] [Google Scholar]
  • 34.Wears R., Berg M. Computer Technology and Clinical Work: Still Waiting for Godot. JAMA. 2005;293(10):1261–63. doi: 10.1001/jama.293.10.1261. [DOI] [PubMed] [Google Scholar]
  • 35.Ash J., Berg M., Coiera E. Some Unintended Consequences of Information Technology in Health Care: The Nature of Patient Care Information System Related Errors. Journal of the American Medical Informatics Association. 2004;11(2):104–12. doi: 10.1197/jamia.M1471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Koppel R., Metlay J., Cohen A., Abaluck B., Localio A., Kimmel S., Strom B. Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors. JAMA. 2005;293(10):1197–1203. doi: 10.1001/jama.293.10.1197. [DOI] [PubMed] [Google Scholar]
  • 37.Kremsdorf R. CPOE: Not the First Step Toward Patient Safety. Health Management Technology. 2005;26(1):66. [PubMed] [Google Scholar]
  • 38.Koppel R., Metlay J., Cohen A., Abaluck B., Localio A., Kimmel S., Strom B. Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors. doi: 10.1001/jama.293.10.1197. [DOI] [PubMed] [Google Scholar]
  • 39.Berger R., Kichak J. Computerized Physician Order Entry: Helpful or Harmful? Journal of the American Medical Informatics Association. 2004;11(2):100–103. doi: 10.1197/jamia.M1411. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Han Y., Carcillo J., Venkataraman S., Clark R., Watson R., Nguyen T., Bayir H., Orr R. A. Unexpected Increased Mortality after Implementation of a Commercially Sold Computerized Physician Order Entry System. Pediatrics. 2005;116(6):1506–12. doi: 10.1542/peds.2005-1287. [DOI] [PubMed] [Google Scholar]
  • 41.Furukawa M. F., Raghu T. S., Shao B. B. M. Electronic Medical Records, Nurse Staffing, and Nurse-Sensitive Patient Outcomes: Evidence from California Hospitals, 1998–2007. Health Services Research. 2010;45(4):941–62. doi: 10.1111/j.1475-6773.2010.01110.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Zadvinskis I. M., Chipps E., Yen P. Y. Exploring Nurses' Confirmed Expectations Regarding Health IT: A Phenomenological Study. doi: 10.1016/j.ijmedinf.2013.11.001. [DOI] [PubMed] [Google Scholar]
  • 43.Top M., Gider Ö. Nurses' Views on Electronic Medical Records (EMR) in Turkey: An Analysis According to Use, Quality and User Satisfaction. Journal of Medical Systems. 2012;36:1979–88. doi: 10.1007/s10916-011-9657-6. [DOI] [PubMed] [Google Scholar]
  • 44.Bah S., Alharthi H., Mahalli A. A. El, Qahtani M. Al, Jabali A., AlKhatani N. Annual Survey on the Level and Extent of Usage of Electronic Health Records in Government-related Hospitals in Eastern Province, Saudi Arabia. Perspectives in Health Information Management. Fall 2011;8 [PMC free article] [PubMed] [Google Scholar]
  • 45. Ibid.
  • 46.Likourezos A., Chalfin D. B., Murphy D. G., Sommer B., Darcy K., Davidson S. J. Physician and Nurse Satisfaction with an Electronic Medical Record System. Journal of Emergency Medicine. 2004;27:419–24. doi: 10.1016/j.jemermed.2004.03.019. [DOI] [PubMed] [Google Scholar]
  • 47.Sittig D. F., Kuperman G. J., Fiskio J. Evaluating Physician Satisfaction Regarding User Interactions with an Electronic Medical Record System. Proceedings of the AMIA Symposium. 1999:400–404. [PMC free article] [PubMed] [Google Scholar]
  • 48.Loomis G. A., Ries S., Saywell R. M., Thakker N. R. If Electronic Medical Records Are So Great, Why Aren't Family Physicians Using Them? Journal of Family Practice. 2002;5:636–41. [PubMed] [Google Scholar]
  • 49.Boonstra A., Broekhuis M. Barriers to the Acceptance of Electronic Medical Records by Physicians from Systematic Review to Taxonomy and Interventions. BMC Health Services Research. 2010;10:231. doi: 10.1186/1472-6963-10-231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Elekwachi A. O. Limitations to the Utilization of Electronic Medical Records by Healthcare Professionals: A Case Study of Small Medical Practices (dissertation) Capella University: 2008. [Google Scholar]
  • 51.Goldberg D. G., Kuzen A. J., Feng L. A., DeShazo J. P., Love L. E. EHRs in Primary Care Practices: Benefits, Challenges, and Successful Strategies. American Journal of Managed Care. 2012;18:e48–e54. [PubMed] [Google Scholar]
  • 52.Stockton A. H., Verhey M. P. A Psychometric Examination of the Stronge-Brodt Nurses' Attitudes toward Computers Questionnaire. Computers in Nursing. 1995;13(3):109–13. [PubMed] [Google Scholar]
  • 53.Cork R. D., Detmer W. M., Friedman C. P. Development and Initial Validation of an Instrument to Measure Physicians' Use of, Knowledge about, and Attitudes toward Computers. Journal of the American Medical Informatics Association. 1998;5(2):164–76. doi: 10.1136/jamia.1998.0050164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Top M., Gider Ö. Nurses' Views on Electronic Medical Records (EMR) in Turkey: An Analysis According to Use, Quality and User Satisfaction. doi: 10.1007/s10916-011-9657-6. [DOI] [PubMed] [Google Scholar]
  • 55.Kaya N., Asti T., Kaya H., Kacar G. Y. Views of Nurses about Computer Usage. Journal of Istanbul University Florence Nightingale School of Nursing. 2008;16(62):83–89. [Google Scholar]
  • 56.Kaya N. Factors Affecting Nurses' Attitudes toward Computers in Healthcare. Computers, Informatics, Nursing. 2011;29(2):121–29. doi: 10.1097/NCN.0b013e3181f9dd0f. [DOI] [PubMed] [Google Scholar]
  • 57.Della Mea V. Internet Electronic Mail: A Tool for Low-Cost Telemedicine. Journal of Telemedicine and Telecare. 1999;5:84–89. doi: 10.1258/1357633991933378. [DOI] [PubMed] [Google Scholar]
  • 58.Fraser H. S., Jazayeri D., Bannach L., Szolovits P., McGrath D. TeleMedMail: Free Software to Facilitate Telemedicine in Developing Countries. Studies in Health Technology and Informatics. 2001;84(pt. 1):815–19. [PubMed] [Google Scholar]
  • 59.Fraser H., Jazayeri D., Mitnick C., Mukherjee J., Bayona J. Informatics Tools to Monitor Progress and Outcomes of Patients with Drug Resistant Tuberculosis in Peru. Proceedings of the AMIA Annual Symposium. 2002:270–74. [PMC free article] [PubMed] [Google Scholar]
  • 60.Goorman E., Berg M. Modelling Nursing Activities: Electronic Patient Records and Their Discontents. Nursing Inquiry. 2000;7:3–9. doi: 10.1046/j.1440-1800.2000.00053.x. [DOI] [PubMed] [Google Scholar]
  • 61.Campbell E. M., Sittig D. F., Ash J. S., Guappone K. P., Dykstra R. H. Types of Unintended Consequences Related to Computerized Provider Order Entry. Journal of the American Medical Informatics Association. 2006;13(5):547–56. doi: 10.1197/jamia.M2042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Laramee A. S., Bosek M., Kasprisin C. A., Powers-Phaneuf T. Learning from Within to Insure a Successful Implementation of an Electronic Health Record. Computers, Informatics, Nursing. 2011;29(8):468–77. doi: 10.1097/NCN.0b013e3181fc3fc7. [DOI] [PubMed] [Google Scholar]
  • 63.Beiter P. A., Sorscher J., Henderson C. J., Talen M. Do Electronic Medical Record (EMR) Demonstrations Change Attitudes, Knowledge, Skills or Needs? Informatics in Primary Care. 2008;16(3):221–27. doi: 10.14236/jhi.v16i3.697. [DOI] [PubMed] [Google Scholar]
  • 64.Ventres W., Kooienga S., Vuckovic N., Marlin R., Nygren P., Stewart V. Physicians, Patients, and the Electronic Health Record: An Ethnographic Analysis. Annals of Family Medicine. 2006;4(2):124–31. doi: 10.1370/afm.425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Toll E. A Piece of My Mind: The Cost of Technology. JAMA. 2012;307(23):2497–98. doi: 10.1001/jama.2012.4946. [DOI] [PubMed] [Google Scholar]
  • 66.Top M., Gider Ö. Nurses' Views on Electronic Medical Records (EMR) in Turkey: An Analysis According to Use, Quality and User Satisfaction. doi: 10.1007/s10916-011-9657-6. [DOI] [PubMed] [Google Scholar]
  • 67.Laramee A. S., Bosek M., Shaner-McRae H., Powers-Phaneuf T. A Comparison of Nurse Attitudes Before Implementation and 6 and 18 Months After Implementation of an Electronic Health Record. doi: 10.1097/NXN.0b013e3182573b04. [DOI] [PubMed] [Google Scholar]
  • 68.Overhage J. M., Perkins S., Tierney W. M., McDonald C. J. Controlled Trial of Direct Physician Order Entry: Effects on Physicians' Time Utilization in Ambulatory Primary Care Internal Medicine Practices. Journal of the American Medical Informatics Association. 2001;8(4):361–71. doi: 10.1136/jamia.2001.0080361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Levick D., Lukens H. F., Stillman P. L. You've Led the Horse to Water, Now How Do You Get Him to Drink: Managing Change and Increasing Utilization of Computerized Provider Order Entry. Journal of Healthcare Information Management. 2005;19(1):70–75. [PubMed] [Google Scholar]
  • 70.Ali N. A., Mekhjian H. S., Kuehn P. L., Bentley T. D., Kumar R., Ferketich A. K., Hoffmann S. P. Specificity of Computerized Physician Order Entry Has a Significant Effect on the Efficiency of Workflow for Critically Ill Patients. Critical Care Medicine. 2005;33(1):110–14. doi: 10.1097/01.ccm.0000150266.58668.f9. [DOI] [PubMed] [Google Scholar]
  • 71.Campbell E. M., Sittig D. F., Ash J. S., Guappone K. P., Dykstra R. H. Types of Unintended Consequences Related to Computerized Provider Order Entry. doi: 10.1197/jamia.M2042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Ibid.
  • 73.Howard R. Nurse Acceptance and Perception of Electronic Medical Record (MS thesis) Northern Kentucky University: 2009. [Google Scholar]
  • 74.Miller R., Sim I. Physicians' Use of Electronic Medical Records: Barriers and Solutions. Health Affairs. 2004;23(2):116–26. doi: 10.1377/hlthaff.23.2.116. [DOI] [PubMed] [Google Scholar]
  • 75.Zadvinskis I. M., Chipps E., Yen P. Y. Exploring Nurses' Confirmed Expectations Regarding Health IT: A Phenomenological Study. doi: 10.1016/j.ijmedinf.2013.11.001. [DOI] [PubMed] [Google Scholar]
  • 76.Campbell E. M., Sittig D. F., Ash J. S., Guappone K. P., Dykstra R. H. Types of Unintended Consequences Related to Computerized Provider Order Entry. doi: 10.1197/jamia.M2042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Ibid.
  • 78.Kilbridge P. Computer Crash—Lessons from a System Failure. New England Journal of Medicine. 2003;348(10):881–82. doi: 10.1056/NEJMp030010. [DOI] [PubMed] [Google Scholar]
  • 79.Oppenheim M. I., Vidal C., Velasco F. T., Boyer A. G., Cooper M. R., Hayes J. G., Frayer W. W. Impact of a Computerized Alert during Physician Order Entry on Medication Dosing in Patients with Renal Impairment. Proceedings of the AMIA Annual Symposium. 2002:577–81. [PMC free article] [PubMed] [Google Scholar]
  • 80.Fraser H. S., Biondich P., Moodley D., Choi S., Mamlin B. W., Szolovits P. Implementing Electronic Medical Record Systems in Developing Countries. Informatics in Primary Care. 2005;13(2):83–95. doi: 10.14236/jhi.v13i2.585. [DOI] [PubMed] [Google Scholar]
  • 81.Fraser H. S., Blaya J. Implementing Medical Information Systems in Developing Countries, What Works and What Doesn't. AMIA Annual Symposium Proceedings. 2010:232–36. [PMC free article] [PubMed] [Google Scholar]
  • 82.Ash J. S., Sittig D. F., Poon E. G., Guappone K., Campbell E., Dykstra R. H. The Extent and Importance of Unintended Consequences Related to Computerized Provider Order Entry. Journal of the American Medical Informatics Association. 2007;14(4):415–523. doi: 10.1197/jamia.M2373. [DOI] [PMC free article] [PubMed] [Google Scholar]

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