Understanding Physicians Perception of Electronic Health Records Through the Lens of Perceived Usefulness

Authors

  • S Harini
  • GS Gigi

Keywords:

Physicians, EHR (Electronic Health Records, Perceived Usefulness,, Clinical Practice, System, Challenges, Specialty, Customization, Workflow, Integration

Abstract

This paper addresses the underlying factors of perceived usefulness of Electronic Health Records (EHR) and the key obstacles in a clinical setting from physicians' point of view, who are the main users of EHR. Secondary research methodology was employed, using thematic data analysis on data based on qualitative data from different healthcare environments, namely hospitals, clinics, and specialized practices. It studied how EHR systems are designed to conform to physicians’ clinical work flows and their specialties. Some key findings indicated that EHR were valuable for enhancing patient care coordination and lowering medication errors, but were at times vilified for problems with the same, including unwarranted documentation time, low customization, and poor connectivity with other health information systems. The study further indicated major variance depending on age, specialty as well as the working environment. System customization needs to be improved, interoperability enhanced, and better training provided to make sure EHR fulfill the practical requirements of physicians and physicians' perception of usefulness in clinical practice is increased.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Alowais, S.A., Alghamdi, S.S., Alsuhebany, N., Alqahtani, T., Alshaya, A.I., Almohareb, S.N., Aldairem, A., Alrashed, M., Bin Saleh, K., Badreldin, H.A. and Al Yami, M.S., 2023. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC medical education, 23(1), p.689.

Alpert, A.B., Mehringer, J.E., Orta, S.J., Redwood, E., Hernandez, T., Rivers, L., Manzano, C., Ruddick, R., Adams, S., Cerulli, C. and Operario, D., 2023. Experiences of transgender people reviewing their electronic health records, a qualitative study. Journal of General Internal Medicine, 38(4), pp.970-977.

Boonstra, A., Jonker, T.L., van Offenbeek, M.A. and Vos, J.F., 2021. Persisting workarounds in electronic health record system use: types, risks and benefits. BMC medical informatics and decision making, 21(1), p.183.

Burmann, A., Tischler, M., Faßbach, M., Schneitler, S. and Meister, S., 2021. The role of physicians in digitalizing health care provision: web-based survey study. JMIR medical informatics, 9(11), p.e31527.

Canfell, O.J., Meshkat, Y., Kodiyattu, Z., Engstrom, T., Chan, W., Mifsud, J., Pole, J.D., Byrne, M., Van Raders, E. and Sullivan, C., 2022. Understanding the digital disruption of health care: an ethnographic study of real-time multidisciplinary clinical behavior in a new digital hospital. Applied Clinical Informatics, 13(05), pp.1079-1091.

Classen, D.C., Longhurst, C.A., Davis, T., Milstein, J.A. and Bates, D.W., 2023. Inpatient EHR user experience and hospital EHR safety performance. JAMA Network Open, 6(9), pp.e2333152-e2333152.

Isbell, L.M., Boudreaux, E.D., Chimowitz, H., Liu, G., Cyr, E. and Kimball, E., 2020. What do emergency department physicians and nurses feel? A qualitative study of emotions, triggers, regulation strategies, and effects on patient care. BMJ quality & safety, 29(10), pp.1-2.

Mwogosi, A. and Mambile, C., 2025. Insights into the current state of electronic health records adoption and utilisation in Tanzanian public primary healthcare facilities: a survey study. Records Management Journal, 35(1), pp.75-93.

Rabiei, R. and Almasi, S., 2022. Requirements and challenges of hospital dashboards: a systematic literature review. BMC medical informatics and decision making, 22(1), p.287.

Rudin, R.S., Friedberg, M.W., Shekelle, P., Shah, N. and Bates, D.W., 2020. Getting value from electronic health records: research needed to improve practice. Annals of internal medicine, 172(11_Supplement), pp.S130-S136.

Rudin, R.S., Friedberg, M.W., Shekelle, P., Shah, N. and Bates, D.W., 2020. Getting value from electronic health records: research needed to improve practice. Annals of internal medicine, 172(11_Supplement), pp.S130-S136.

Sharma, V., Ali, I., van der Veer, S., Martin, G., Ainsworth, J. and Augustine, T., 2021. Adoption of clinical risk prediction tools is limited by a lack of integration with electronic health records. BMJ Health & Care Informatics, 28(1), p.e100253.

Sieck, C.J., Pearl, N., Bright, T.J. and Yen, P.Y., 2020. A qualitative study of physician perspectives on adaptation to electronic health records. BMC medical informatics and decision making, 20, pp.1-8.

Suryanarayanan, P., Epstein, E.A., Malvankar, A., Lewis, B.L., DeGenaro, L., Liang, J.J., Tsou, C.H. and Pathak, D., 2021, January. Timely and efficient AI insights on EHR: system design. In AMIA Annual Symposium Proceedings (Vol. 2020, p. 1180).

Tsai, C.H., Eghdam, A., Davoody, N., Wright, G., Flowerday, S. and Koch, S., 2020. Effects of electronic health record implementation and barriers to adoption and use: a scoping review and qualitative analysis of the content. Life, 10(12), p.327.

Takako, K., 2019. Comparing the trends of electronic health record adoption among hospitals of the united states and japan. Journal of Medical Systems, 43(223), p.110.

Aditi Shivarkar, 2024. Electronic Health Records Market to Boom $43.66 Bn by 2034. Accessed from https://www.towardshealthcare.com/insights/electronic-health-records-market-size [Accessed on 15.4.2025]

Samruddhi Yardi, 2025. Electronic Health Records Statistics 2025 By Healthcare, Data, Management Accessed from https://media.market.us/electronic-health-records-statistics/ [Accessed on 16.4.2025]

Downloads

Published

2025-04-22

How to Cite

1.
S Harini SH, Gigi G. Understanding Physicians Perception of Electronic Health Records Through the Lens of Perceived Usefulness. J Neonatal Surg [Internet]. 2025Apr.22 [cited 2025Sep.21];14(16S):263-9. Available from: https://jneonatalsurg.com/index.php/jns/article/view/4271