Electronic Health Record-Related Safety Concerns: A Cross-Sectional Survey of Electronic Health Record Users

Journals

1. Vehko T, Hyppönen H, Puttonen S, Kujala S, Ketola E, Tuukkanen J, Aalto A, Heponiemi T. Experienced time pressure and stress: electronic health records usability and information technology competence play a role. BMC Medical Informatics and Decision Making 2019;19(1) View
2. Carayon P, Du S, Brown R, Cartmill R, Johnson M, Wetterneck T. EHR‐related medication errors in two ICUs. Journal of Healthcare Risk Management 2017;36(3):6 View
3. Martin G, Arora S, Shah N, King D, Darzi A. A regulatory perspective on the influence of health information technology on organisational quality and safety in England. Health Informatics Journal 2020;26(2):897 View
4. Hossain A, Quaresma R, Rahman H. Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study. International Journal of Information Management 2019;44:76 View
5. K. Pool J, Akhlaghpour S. Causes and Impacts of Personal Health Information (PHI) Breaches: A Scoping Review and Thematic Analysis. SSRN Electronic Journal 2019 View
6. Palojoki S, Saranto K, Lehtonen L. Reporting medical device safety incidents to regulatory authorities: An analysis and classification of technology-induced errors. Health Informatics Journal 2019;25(3):731 View
7. Salahuddin L, Ismail Z, Raja Ikram R, Hashim U, Idris A, Ismail N, Hassan N, Abdul Rahim F. Safe use of hospital information systems: an evaluation model based on a sociotechnical perspective. Behaviour & Information Technology 2020;39(2):188 View
8. Chalikonda L, Phelan N, O’Byrne J. An assessment of the quality of clinical records in elective orthopaedics using the STAR score. Irish Journal of Medical Science (1971 -) 2019;188(3):849 View
9. Bahadori M, Alimohammadzadeh K, Abdolkarimi K, Ravangard R. Factors Affecting Physicians’ Attitudes Towards the Implementation of Electronic Health Records Using Structural Equation Modeling Modeling (SEM). Shiraz E-Medical Journal 2017;18(11) View
10. Quinn M, Forman J, Harrod M, Winter S, Fowler K, Krein S, Gupta A, Saint S, Singh H, Chopra V. Electronic health records, communication, and data sharing: challenges and opportunities for improving the diagnostic process. Diagnosis 2019;6(3):241 View
11. Alsohime F, Temsah M, Al-Eyadhy A, Bashiri F, Househ M, Jamal A, Hasan G, Alhaboob A, Alabdulhafid M, Amer Y. Satisfaction and perceived usefulness with newly-implemented Electronic Health Records System among pediatricians at a university hospital. Computer Methods and Programs in Biomedicine 2019;169:51 View
12. Palojoki S, Pajunen T, Lehtonen L, Saranto K. FIN-TIERA: A Tool for Assessing Technology Induced Errors. Methods of Information in Medicine 2017;56(01):1 View
13. Jianxun C, Arkorful V, Shuliang Z. Electronic health records adoption: Do institutional pressures and organizational culture matter?. Technology in Society 2021;65:101531 View
14. Eriksson-Backa K, Hirvonen N, Enwald H, Huvila I. Enablers for and barriers to using My Kanta – A focus group study of older adults’ perceptions of the National Electronic Health Record in Finland. Informatics for Health and Social Care 2021;46(4):399 View
15. Akbar F, Mark G, Prausnitz S, Warton E, East J, Moeller M, Reed M, Lieu T. Physician Stress During Electronic Health Record Inbox Work: In Situ Measurement With Wearable Sensors. JMIR Medical Informatics 2021;9(4):e24014 View
16. Carayon P, Wetterneck T, Cartmill R, Blosky M, Brown R, Hoonakker P, Kim R, Kukreja S, Johnson M, Paris B, Wood K, Walker J. Medication Safety in Two Intensive Care Units of a Community Teaching Hospital After Electronic Health Record Implementation: Sociotechnical and Human Factors Engineering Considerations. Journal of Patient Safety 2021;17(5):e429 View
17. Palojoki S, Saranto K, Reponen E, Skants N, Vakkuri A, Vuokko R. Classification of Electronic Health Record–Related Patient Safety Incidents: Development and Validation Study. JMIR Medical Informatics 2021;9(8):e30470 View
18. Shawaqfeh M, Alangari D, Aldamegh G, Almotairi J, Bin Orayer L, Albekairy N, Abdel-Razaq W, Mardawi G, Almuqbil F, Aldebasi T, Albekairy A. Unveiling medication errors in liver transplant patients towards enhancing the imperative patient safety. Saudi Pharmaceutical Journal 2023;31(11):101789 View
19. Núñez-Merino M, Maqueira-Marín J, Moyano-Fuentes J, Castaño-Moraga C. Product development process for a new healthcare service in the Industry 4.0 context: an action research approach. Production Planning & Control 2024:1 View
20. Hendrix N, Maisel N, Everson J, Patel V, Bazemore A, Rotenstein L, Holmgren A, Krist A, Adler-Milstein J, Phillips R. Impact of response bias in three surveys on primary care providers’ experiences with electronic health records. Journal of the American Medical Informatics Association 2024;31(8):1754 View
21. Khashan M, Alasker T, Ghonim M, Elsotouhy M. Understanding physicians' adoption intentions to use Electronic Health Record (EHR) systems in developing countries: an extended TRAM approach. Marketing Intelligence & Planning 2024 View
22. Shanmugapriya J, Mehta S, Garg S, Saxena T, Sharma N, Goswami G. Unraveling medication errors in Indian scholarly articles (2010–2023): A comprehensive review. Muller Journal of Medical Sciences and Research 2024;15(2):136 View
23. Smoła P, Młoźniak I, Wojcieszko M, Zwierczyk U, Kobryn M, Rzepecka E, Duplaga M. The perception of facilitators and barriers to the use of e-health solutions in Poland: a qualitative study. BMC Medical Informatics and Decision Making 2024;24(1) View

Books/Policy Documents

1. Borycki E, Kushniruk A. Big Data, Big Challenges: A Healthcare Perspective. View
2. Kashyap R, Rahamatkar S. Early Detection of Neurological Disorders Using Machine Learning Systems. View
3. Borycki E, Kushniruk A. E-Health Two-Sided Markets. View
4. Sittig D, Singh H. Key Advances in Clinical Informatics. View
5. Kashyap R. Computational Models for Biomedical Reasoning and Problem Solving. View