Comprehensive Evaluation of Electronic Medical Record System Use and User Satisfaction at Five Low-Resource Setting Hospitals in Ethiopia

Journals

1. Moucheraud C, Schwitters A, Boudreaux C, Giles D, Kilmarx P, Ntolo N, Bangani Z, St. Louis M, Bossert T. Sustainability of health information systems: a three-country qualitative study in southern Africa. BMC Health Services Research 2017;17(1) View
2. Kavuma M. The Usability of Electronic Medical Record Systems Implemented in Sub-Saharan Africa: A Literature Review of the Evidence. JMIR Human Factors 2019;6(1):e9317 View
3. Berihun B, Atnafu D, Sitotaw G. Willingness to Use Electronic Medical Record (EMR) System in Healthcare Facilities of Bahir Dar City, Northwest Ethiopia. BioMed Research International 2020;2020:1 View
4. Threatt T, Pirtle C, Dzwonkowski J, Johnson K. Using a custom mobile application for change management in an electronic health record implementation. JAMIA Open 2020;3(1):37 View
5. Bani‐issa W, Al Yateem N, Al Makhzoomy I, Ibrahim A. Satisfaction of health‐care providers with electronic health records and perceived barriers to its implementation in the United Arab Emirates. International Journal of Nursing Practice 2016;22(4):408 View
6. Cillessen F, de Vries Robbé P, Biermans M. A hospital-wide transition from paper to digital problem-oriented clinical notes. Applied Clinical Informatics 2017;08(02):502 View
7. Kuo K, Liu C, Talley P, Pan S. Strategic Improvement for Quality and Satisfaction of Hospital Information Systems. Journal of Healthcare Engineering 2018;2018:1 View
8. Awol S, Birhanu A, Mekonnen Z, Gashu K, Shiferaw A, Endehabtu B, Kalayou M, Guadie H, Tilahun B. <p>Health Professionals’ Readiness and Its Associated Factors to Implement Electronic Medical Record System in Four Selected Primary Hospitals in Ethiopia</p>. Advances in Medical Education and Practice 2020;Volume 11:147 View
9. Hariyati R, Hamid A, Eryando T, Hasibuan Z. Usability and satisfaction of using electronic nursing documentation, lesson-learned from new system implementation at a hospital in Indonesia. International Journal of Healthcare Management 2020;13(1):45 View
10. Drummond J, Were M, Arrossi S, Wools‐Kaloustian K. Cervical cancer data and data systems in limited‐resource settings: Challenges and opportunities. International Journal of Gynecology & Obstetrics 2017;138(S1):33 View
11. Abbasi R, Sadeqi Jabali M, Khajouei R, Tadayon H. Investigating the satisfaction level of physicians in regards to implementing medical Picture Archiving and Communication System (PACS). BMC Medical Informatics and Decision Making 2020;20(1) View
12. Tilahun B, Fritz F. Modeling antecedents of electronic medical record system implementation success in low-resource setting hospitals. BMC Medical Informatics and Decision Making 2015;15(1) View
13. Syzdykova A, Malta A, Zolfo M, Diro E, Oliveira J. Open-Source Electronic Health Record Systems for Low-Resource Settings: Systematic Review. JMIR Medical Informatics 2017;5(4):e44 View
14. Kleczka B, Musiega A, Rabut G, Wekesa P, Mwaniki P, Marx M, Kumar P. Rubber stamp templates for improving clinical documentation: A paper-based, m-Health approach for quality improvement in low-resource settings. International Journal of Medical Informatics 2018;114:121 View
15. Ji M, Yu G, Xi H, Xu T, Qin Y. Measures of success of computerized clinical decision support systems: An overview of systematic reviews. Health Policy and Technology 2021;10(1):196 View
16. Kalayou M, Endehabtu B, Tilahun B. <p>The Applicability of the Modified Technology Acceptance Model (TAM) on the Sustainable Adoption of eHealth Systems in Resource-Limited Settings</p>. Journal of Multidisciplinary Healthcare 2020;Volume 13:1827 View
17. Salleh M, Abdullah R, Zakaria N. Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers. BMC Medical Informatics and Decision Making 2021;21(1) View
18. Shiferaw K, Mengiste S, Gullslett M, Zeleke A, Tilahun B, Tebeje T, Wondimu R, Desalegn S, Mehari E, Ramírez-Correa P. Healthcare providers’ acceptance of telemedicine and preference of modalities during COVID-19 pandemics in a low-resource setting: An extended UTAUT model. PLOS ONE 2021;16(4):e0250220 View
19. Ji M, Genchev G, Huang H, Xu T, Lu H, Yu G. Evaluation Framework for Successful Artificial Intelligence–Enabled Clinical Decision Support Systems: Mixed Methods Study. Journal of Medical Internet Research 2021;23(6):e25929 View
20. Manyazewal T, Woldeamanuel Y, Blumberg H, Fekadu A, Marconi V. The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia. npj Digital Medicine 2021;4(1) View
21. Mengestie N, Yeneneh A, Baymot A, Kalayou M, Melaku M, Guadie H, Paulos G, Mewosha W, Shimie A, Fentahun A, Wubante S, Tegegne M, Awol S, Jakovljevic M. Health Information Technologies in a Resource-Limited Setting: Knowledge, Attitude, and Practice of Health Professionals. BioMed Research International 2023;2023:1 View
22. Duong H, Dao S, Dang H, Nguyen L, Ngo T, Nguyen T, Tran L, Nguyen D, Rivera M, Nguyen N. The Transition to an Entirely Digital Immunization Registry in Ha Noi Province and Son La Province, Vietnam: Readiness Assessment Study. JMIR Formative Research 2021;5(10):e28096 View
23. Ngugi P, Were M, Babic A. Users’ perception on factors contributing to electronic medical records systems use: a focus group discussion study in healthcare facilities setting in Kenya. BMC Medical Informatics and Decision Making 2021;21(1) View
24. Shiferaw K, Mehari E. Modeling predictors of acceptance and use of electronic medical record system in a resource limited setting: Using modified UTAUT model. Informatics in Medicine Unlocked 2019;17:100182 View
25. Tegegne M, Wubante S, Kalayou M, Melaku M, Tilahun B, Yilma T, Dessie H. Electronic Medical Record System Use and Determinants in Ethiopia: Systematic Review and Meta-Analysis. Interactive Journal of Medical Research 2023;12:e40721 View
26. Fraser H, Mugisha M, Remera E, Ngenzi J, Richards J, Santas X, Naidoo W, Seebregts C, Condo J, Umubyeyi A. User Perceptions and Use of an Enhanced Electronic Health Record in Rwanda With and Without Clinical Alerts: Cross-sectional Survey. JMIR Medical Informatics 2022;10(5):e32305 View
27. Yehualashet D, Seboka B, Tesfa G, Demeke A, Amede E. Barriers to the Adoption of Electronic Medical Record System in Ethiopia: A Systematic Review. Journal of Multidisciplinary Healthcare 2021;Volume 14:2597 View
28. Tolera A, Oljira L, Dingeta T, Abera A, Roba H. Electronic medical record use and associated factors among healthcare professionals at public health facilities in Dire Dawa, eastern Ethiopia: A mixed-method study. Frontiers in Digital Health 2022;4 View
29. Oumer A, Muhye A, Dagne I, Ishak N, Ale A, Bekele A, Kottayasamy Seenivasagam R. Utilization, Determinants, and Prospects of Electronic Medical Records in Ethiopia. BioMed Research International 2021;2021:1 View
30. Parameshwari V, Suresh Kumar P, Marla A, Rai S. Comparison between Retrieval Time of Manual and Electronic Medical Records –A Case Study. International Journal of Case Studies in Business, IT, and Education 2022:1 View
31. Jimma B, Enyew D. Barriers to the acceptance of electronic medical records from the perspective of physicians and nurses:A scoping review. Informatics in Medicine Unlocked 2022;31:100991 View
32. Ngugi P, Babic A, Were M, Angkurawaranon C. A multivariate statistical evaluation of actual use of electronic health record systems implementations in Kenya. PLOS ONE 2021;16(9):e0256799 View
33. Kalayou M, Endehabtu B, Guadie H, Abebaw Z, Dessie K, Awol S, Mengestie N, Yeneneh A, Tilahun B, Curcuruto M. Physicians’ Attitude towards Electronic Medical Record Systems: An Input for Future Implementers. BioMed Research International 2021;2021:1 View
34. Langan A, Harris W. Metrics of student dissatisfaction and disagreement: longitudinal explorations of a national survey instrument. Higher Education 2024;87(2):249 View
35. Dubale A, Mengestie N, Tilahun B, Walle A, Khani jeihooni A. User Satisfaction of Using Electronic Medical Record System and Its Associated Factors among Healthcare Professionals in Ethiopia: A Cross-Sectional Study. BioMed Research International 2023;2023:1 View
36. Senishaw A, Tilahun B, Nigatu A, Mengiste S, Standal K, Prenestini A. Willingness to use electronic medical record (EMR) system and its associated factors among health professionals working in Amhara region Private Hospitals 2021, Ethiopia. PLOS ONE 2023;18(5):e0282044 View
37. Tadayon H, Nafari B, Khadem G, Darrudi R, Sadeqi Jabali M. Evaluation of Picture Archiving and Communication System (PACS): Radiologists’ perspective. Informatics in Medicine Unlocked 2023;39:101266 View
38. Walle A, Demsash A, Ferede T, Wubante S. Healthcare professionals' satisfaction toward the use of district health information system and its associated factors in southwest Ethiopia: using the information system success model. Frontiers in Digital Health 2023;5 View
39. Aljarbooa E, Sekhar C. Doctors Perceptions Regarding Electronic Systems at Primary Healthcare Centers in Qassim Region, Saudi Arabia. Cureus 2023 View
40. Swed S, Alibrahim H, Bohsas H, Aljabali A, Hamouda H, Sawaf B, albuni M, Battikh E, Ahmed S, Sharif Ahmed E, Motawea K, Abdelazeem B, Shoib S, Rakab A, Hafez W. Awareness, knowledge, attitude, and skills regarding telemedicine among Syrian healthcare providers: A cross-sectional study. DIGITAL HEALTH 2023;9 View
41. Canfell O, Woods L, Meshkat Y, Krivit J, Gunashanhar B, Slade C, Burton-Jones A, Sullivan C. The Impact of Digital Hospitals on Patient and Clinician Experience: Systematic Review and Qualitative Evidence Synthesis. Journal of Medical Internet Research 2024;26:e47715 View
42. Tolera A, Firdisa D, Roba H, Motuma A, Kitesa M, Abaerei A. Barriers to healthcare data quality and recommendations in public health facilities in Dire Dawa city administration, eastern Ethiopia: a qualitative study. Frontiers in Digital Health 2024;6 View

Books/Policy Documents

1. Magrabi F, Cresswell K, Fraser H. Clinical Decision Support and Beyond. View