EXPLORE OF PATIENTS SATISFACTION WITH THE IMPLEMENTATION OF ELECTRONIC MEDICAL RECORDS IN THE RIYADH SAUDI ARABIA 2022
Main Article Content
Keywords
Explore, Patients, satisfaction, implementation, electronic, medical Records Riyadh
Abstract
Background: Patient satisfaction has gained the focal position in well-planned healthcare delivery systems. The implementation of the Electronic Medical Record (EMR) system initiated a significant transition in the healthcare system from traditional paper-based medical records to a digital version. Though EMR offers several benefits compared to Paper Medical Records (PMR), patient satisfaction with the EMR has been an area of concern. Facilitators and barriers to satisfaction after implementation of the electronic medical/health record (EMR/EHR) are important to understand as patient satisfaction is linked with improvement in health care and meaningful use of EMR/EHR. “Empirical studies of the [electronic medical Records] have increased” recently, but few studies have explored the impact of electronic medical Records on patients’ satisfaction and the physician-patient relationship. Aim of the study: To explore of Patients satisfaction with the implementation of electronic medical Records in the Riyadh Saudi Arabia2022. Method: A cross-sectional survey was conducted with patients who attended AL-Yamamah Hospital in Riyadh city in the Riyadh Saudi during 2022. A sample of 400 participants was invited to complete a self-developed structured questionnaire with multiple choice and Likert Scale questions. The questionnaire was distributed to participants in the AL-Yamamah Hospital waiting areas. Results: shows regarding the participants' General Satisfaction with Medical Care Received after Implementation of Electronic Medical Record System were while a significantly associated were P=0.001 and X2 (290.333), regarding The medical care I have been receiving is just about perfect majority of our participant Satisfaction were (85.0%), regarding I am very satisfied with medical care I received the majority of our participant Satisfaction were (67.0%), regarding There are something about the medical care received that could be better the majority of our participant Satisfaction were (75.0%). Conclusion: Patient satisfaction with electronic medical Records is a complex phenomenon, Patient satisfaction as an outcome variable is difficult to be measured precisely. There are many factors that influence patient satisfaction with electronic medical Records, research can help to refine theoretical models of patient satisfaction with electronic medical Records and aid in the development of an effective instrument for assessing and understanding such satisfaction.
Downloads
References
1. Rodriguez Llorian, E., & Mason, G. (2021). Electronic medical records and primary care quality: Evidence from Manitoba. Health Economics, 30(5), 1124-1138. 2. Wali, R. M., Alqahtani, R. M., Alharazi, S. K., Bukhari, S. A., & Quqandi, S. M. (2020). Patient satisfaction with the implementation of electronic medical Records in the Western Region, Saudi Arabia, 2018. BMC family practice, 21(1), 1-6. 3. Das, A. V., Kammari, P., Vadapalli, R., & Basu, S. (2020). Big data and the eyeSmart electronic medical record system-An 8-year experience from a three-tier eye care network in India. Indian Journal of Ophthalmology, 68(3), 427. 4. Tanwar, S., Parekh, K., & Evans, R. (2020). Blockchain-based electronic healthcare record system for healthcare 4.0 applications. Journal of Information Security and Applications, 50, 102407. 5. Nalleballe, K., Onteddu, S. R., Sharma, R., Dandu, V., Brown, A., Jasti, M., ... & Kovvuru, S. (2020). Spectrum of neuropsychiatric manifestations in COVID-19. Brain, behavior, and immunity, 88, 71-74. 6. Mao, L., Jin, H., Wang, M., Hu, Y., Chen, S., He, Q., ... & Hu, B. (2020). Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China. JAMA neurology, 77(6), 683-690. 7. Abdullah, S. S., Rostamzadeh, N., Sedig, K., Garg, A. X., & McArthur, E. (2020). Multiple regression analysis and frequent itemset mining of electronic medical records: a visual analytics approach using visa_m3r3. Data, 5(2), 33. 8. Sultana, M., Hossain, A., Laila, F., Taher, K. A., & Islam, M. N. (2020). Towards developing a secure medical image sharing system based on zero trust principles and blockchain technology. BMC Medical Informatics and Decision Making, 20(1), 1-10. 9. Ganiga, R., Pai, R. M., & Sinha, R. K. (2020). Security framework for cloud based electronic health record (EHR) system. International Journal of Electrical and Computer Engineering, 10(1), 455. 10. Uslu, A., & Stausberg, J. (2021). Value of the electronic medical record for hospital care: update from the literature. Journal of medical Internet research, 23(12), e26323. 11. Janssen, A., Donnelly, C., Elder, E., Pathmanathan, N., & Shaw, T. (2021). Electronic medical record implementation in tertiary care: factors influencing adoption of an electronic medical record in a cancer centre. BMC health services research, 21(1), 1-9. 12. Burgener, A. M. (2020). Enhancing communication to improve patient safety and to increase patient satisfaction. The health care manager, 39(3), 128-132. 13. Hazazi, A., & Wilson, A. (2021). Leveraging electronic health records to improve management of noncommunicable diseases at primary healthcare centres in Saudi Arabia: a qualitative study. BMC Family Practice, 22(1), 1-6. 14. Thapa, S., Nielsen, J. B., Aldahmash, A. M., Qadri, F. R., & Leppin, A. (2021). Willingness to use digital health tools in patient care among health care professionals and students at a university hospital in Saudi Arabia: quantitative cross-sectional survey. JMIR medical education, 7(1), e18590. 15. Wright, J. M., Raghavan, A., Wright, C. H., Shammassian, B., Duan, Y., Sajatovic, M., & Selman, W. R. (2020). Back to the future: surgical rehearsal platform technology as a means to improve surgeon-patient alliance, patient satisfaction, and resident experience. Journal of Neurosurgery, 1(aop), 1-8. 16. Yousef, C. C., Salgado, T. M., Farooq, A., Burnett, K., McClelland, L. E., Esba, L. C. A., ... & DeShazo, J. P. (2021). Health Care Providers’ Acceptance of a Personal Health Record: Cross-sectional Study. Journal of Medical Internet Research, 23(10), e31582. 17. Rawaf, S., Allen, L. N., Stigler, F. L., Kringos, D., Quezada Yamamoto, H., van Weel, C., & Global Forum on Universal Health Coverage and Primary Health Care. (2020). Lessons on the COVID-19 pandemic, for and by primary care professionals worldwide. European Journal of General Practice, 26(1), 129-133. 18. Tonmoy, F. N., Cooke, S. M., Armstrong, F., & Rissik, D. (2020). From science to policy: Development of a climate change adaptation plan for the health and wellbeing sector in Queensland, Australia. Environmental Science & Policy, 108, 1-13. 19. Hassoun-Kheir, N., Stabholz, Y., Kreft, J. U., De La Cruz, R., Romalde, J. L., Nesme, J., ... & Paul, M. (2020). Comparison of antibiotic-resistant bacteria and antibiotic resistance genes abundance in hospital and community wastewater: A systematic review. Science of the Total Environment, 743, 140804. 20. Belizario, J. A., Lopes, L. G., & Pires, R. H. (2021). Fungi in the indoor air of critical hospital areas: a review. Aerobiologia, 37(3), 379-394. 21. Ye, P., & Liu, L. (2021). Factors Affecting User Intention to Pay via Online Medical Service Platform: Role of Misdiagnosis Risk and Timeliness of Response. International Journal of Healthcare Information Systems and Informatics (IJHISI), 16(4), 1-26. 22. Wong, M. C., Wong, E. L., Huang, J., Cheung, A. W., Law, K., Chong, M. K., ... & Chan, P. K. (2021). Acceptance of the COVID-19 vaccine based on the health belief model: A population-based survey in Hong Kong. Vaccine, 39(7), 1148-1156. 23. Yang, Y. C., Islam, S. U., Noor, A., Khan, S., Afsar, W., & Nazir, S. (2021). Influential usage of big data and artificial intelligence in healthcare. Computational and Mathematical Methods in Medicine, 2021. 24. Al-Hanawi, M. K., Khan, S. A., & Al-Borie, H. M. (2019). Healthcare human resource development in Saudi Arabia: emerging challenges and opportunities—a critical review. Public health reviews, 40(1), 1-16. 25. Burns, J., Ciccarelli, S., Mardakhaev, E., Erdfarb, A., Goldberg-Stein, S., & Bello, J. A. (2021). Handoffs in Radiology: Minimizing Communication Errors and Improving Care Transitions. Journal of the American College of Radiology, 18(9), 1297-1309. 26. Aldahiri, A., Alrashed, B., & Hussain, W. (2021). Trends in using IoT with machine learning in health prediction system. Forecasting, 3(1), 181-206. 27. Al-Alawi, K., Al Mandhari, A., & Johansson, H. (2019). Care providers’ perceptions towards challenges and opportunities for service improvement at diabetes management clinics in public primary health care in Muscat, Oman: a qualitative study. BMC health services research, 19(1), 1-17. 28. Biresaw, H., Mulugeta, H., Endalamaw, A., Yesuf, N. N., & Alemu, Y. (2021). Patient satisfaction towards health care services provided in Ethiopian health institutions: a systematic review and meta-analysis. Health services insights, 14, 11786329211040689. 29. Humphries, C., Jaganathan, S., Panniyammakal, J., Singh, S. K., Goenka, S., Dorairaj, P., ... & Manaseki-Holland, S. (2019). Patient and healthcare provider knowledge, attitudes and barriers to handover and healthcare communication during chronic disease inpatient care in India: a qualitative exploratory study. BMJ open, 9(11), e028199. 30. Selby, N. M., & Pannu, N. (2022). Opportunities in digital health and electronic health records for acute kidney injury care. Current Opinion in Critical Care, 28(6), 605-612. 31. Alageel, S., & Gulliford, M. C. (2019). Health checks and cardiovascular risk factor values over six years’ follow-up: Matched cohort study using electronic health records in England. PLoS medicine, 16(7), e1002863. 32. Zylla, D. M., Gilmore, G. E., Steele, G. L., Eklund, J. P., Wood, C. M., Stover, A. M., & Shapiro, A. C. (2020). Collection of electronic patient-reported symptoms in patients with advanced cancer using Epic MyChart surveys. Supportive Care in Cancer, 28(7), 3153-3163. 33. Carini, E., Villani, L., Pezzullo, A. M., Gentili, A., Barbara, A., Ricciardi, W., & Boccia, S. (2021). The impact of digital patient portals on health outcomes, system efficiency, and patient attitudes: updated systematic literature review. Journal of Medical Internet Research, 23(9), e26189. 34. Kang, H., Wang, J., Yao, B., Zhou, S., & Gong, Y. (2019). Toward safer health care: a review strategy of FDA medical device adverse event database to identify and categorize health information technology related events. JAMIA open, 2(1), 179-186. 35. Lafata, J. E., Miller, C. A., Shires, D. A., Dyer, K., Ratliff, S. M., & Schreiber, M. (2018). Patients’ adoption of and feature access within electronic patient portals. The American journal of managed care, 24(11), e352. 36. Bisrat, A., Minda, D., Assamnew, B., Abebe, B., & Abegaz, T. (2021). Implementation challenges and perception of care providers on Electronic Medical Records at St. Paul’s and Ayder Hospitals, Ethiopia. BMC medical informatics and decision making, 21(1), 1-12. 37. Almezaal, E. A. M., Elsayed, E. A. H., Javed, N. B., Chandramohan, S., & Mohammed, A. M. (2021). Chronic disease patients' satisfaction with primary health-care services provided by the second health cluster in Riyadh, Saudi Arabia. Saudi Journal for Health Sciences, 10(3), 185.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Transfer of Copyright and Permission to Reproduce Parts of Published Papers.
Authors retain the copyright for their published work. No formal permission will be required to reproduce parts (tables or illustrations) of published papers, provided the source is quoted appropriately and reproduction has no commercial intent. Reproductions with commercial intent will require written permission and payment of royalties.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.