Abstract

Conversion from paper-based medical records to electronic Health Records provides significant benefits to healthcare. However, there are some challenges perceived by healthcare providers when implementing Electronic Health Records. This paper aims to present some guidelines to overcome barriers associated with implementing Electronic Health Records in developing countries. This paper also presents an overview of Electronic Health Records Barriers discussed in several studies and review some studies performed in developing countries to explore the implementation barriers of the Electronic Health Records.

References

• Wanderer, J.P. and J.M. Ehrenfeld, Overview of Electronic Health Records, in Monitoring Technologies in Acute Care Environments. 2014, Springer. p. 379-384.
• Organization, W.H., Electronic health records: manual for developing countries. 2006: Manila: WHO Regional Office for the Western Pacific.
• Hassibian, M.R.J.R.I.J.o.M., Electronic health records acceptance and implementation in developing countries: Challenges and barriers. 2013. 1(1): p. 6-11.
• Scott, J., Perceived Barriers to the Use of Electronic Health Records for Infectious Disease Surveillance in Canada. 2015, Université d'Ottawa/University of Ottawa.
• Kissam, S., et al., Barriers to meaningful use in Medicaid: analysis and recommendations. Rockville, MD: Agency for Healthcare Research and Quality, 2012.
• Cuggia, M., P. Avillach, and C. Daniel, Representation of patient data in health information systems and electronic health records, in Medical Informatics, e-Health. 2014, Springer. p. 65-89.
• Johnson, C., D. Johnston, and P. Crowle, EHR usability toolkit: A background report on usability and electronic health records. Rockville, MD: Agency for Healthcare Research and Quality, 2011.
• Kamal, J.I.A.J.D., Implementation of Electronic Medical Records in Developing Countries: Challenges & Barriers. 2018. 7(3).
• Kalogriopoulos, N.A., et al. Electronic medical record systems for developing countries. in Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE. 2009. IEEE.
• Khan, S.Z., et al., Hopes and fears in implementation of electronic health records in Bangladesh. 2012. 54(1): p. 1-18.
• McGinn, C.A., et al., Comparison of user groups' perspectives of barriers and facilitators to implementing electronic health records: a systematic review. BMC medicine, 2011. 9(1): p. 46.
• Khalifa, M., Barriers to health information systems and electronic medical records implementation. A field study of Saudi Arabian hospitals. Procedia Computer Science, 2013. 21: p. 335-342.
• Vishwanath, A. and S.D. Scamurra, Barriers to the adoption of electronic health records: using concept mapping to develop a comprehensive empirical model. Health Informatics Journal, 2007. 13(2): p. 119-134.
• Boonstra, A. and M. Broekhuis, Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC health services research, 2010. 10(1): p. 231.
• Kruse, C.S., et al., Barriers to Electronic Health Record Adoption: a Systematic Literature Review. Journal of medical systems, 2016. 40(12): p. 252.
• Lippeveld, T., R. Sauerborn, and C. Bodart, Design and implementation of health information systems. 2000: World Health Organization Geneva.
• Priebe, C.J. and E. Rose, Workflow automation with electronic medical records. Informatics in primary care, 2002: p. 152-165.
• Baron, R.J., et al., Electronic health records: just around the corner? Or over the cliff? Annals of internal medicine, 2005. 143(3): p. 222-226.
• Association, H.F.M., Overcoming barriers to electronic health record adoption. Results of survey and roundtable discussions conducted by the Healthcare Financial Management Association, 2006.
• Cotea, C., Electronic health record adoption: perceived barriers and facilitators. Research Coordination Unit, CMVH, 2010.
• Kim, M.S., et al. Usability Challenges and Barriers in EHR Training of Primary Care Resident Physicians. in International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. 2014. Springer.
• Courtney, K.L., A. Kuo, and O. Shabestari, Driving Quality in Informatics: Fulfilling the Promise. Vol. 208. 2015: IOS Press.
• Doberne, J.W., et al. Barriers to Information Access in Electronic Health Records during Initial Patient Visits A Qualitative Study. in Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care. 2015. SAGE Publications.
• Matthews, E.B., Integrating the Electronic Health Record into Behavioral Health Encounters: Strategies, Barriers, and Implications for Practice. Administration and Policy in Mental Health and Mental Health Services Research, 2015: p. 1-12.
• Rahman, R. and C.K. Reddy, Electronic Health Records: A Survey. Healthcare Data Analytics, 2015. 36: p. 21.
• Kaipio, J., et al., Usability problems do not heal by themselves: National survey on physicians’ experiences with EHRs in Finland. International Journal of Medical Informatics, 2017. 97: p. 266-281.
• Thakkar, M. and D.C. Davis, Risks, barriers, and benefits of EHR systems: a comparative study based on size of hospital. Perspectives in Health Information Management/AHIMA, American Health Information Management Association, 2006. 3.
• Goroll, A.H., et al., Community-wide implementation of health information technology: the Massachusetts eHealth Collaborative experience. Journal of the American Medical Informatics Association, 2009. 16(1): p. 132-139.
• Ajami, S. and T. Bagheri-Tadi, Barriers for adopting electronic health records (EHRs) by physicians. Acta Informatica Medica, 2013. 21(2): p. 129.
• Jones, E. and F. Blavin, Lessons from the Literature on Electronic Health Record Implementation. 2013.
• Bushinak, H., S. AbdelGaber, and F.K. AlSharif, Recognizing The Electronic Medical Record Data From Unstructured Medical Data Using Visual Text Mining Techniques. International Journal of Computer Science and Information Security, 2011. 9(6): p. 25.
• Sittig, D.F. and H. Singh, Legal, ethical, and financial dilemmas in electronic health record adoption and use. Pediatrics, 2011. 127(4): p. e1042-e1047.
• Townsend, H., Natural Language Processing and Clinical Outcomes: The Promise and Progress of NLP for Improved Care. Journal of AHIMA, 2013. 84(2): p. 44-45.
• Ayatollahi, H., N. Mirani, and H. Haghani, Electronic health records: what are the most important barriers? Perspectives in health information management, 2014. 11(Fall).
• Kim Futrell, M., Structured Data. 2013.
• Mahalli, A.E., 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, 2015. 12(Fall).
• Lorenzi, N.M., et al., How to successfully select and implement electronic health records (EHR) in small ambulatory practice settings. BMC medical informatics and decision making, 2009. 9(1): p. 15.
• Car, J., et al., The Impact of eHealth on the Quality & Safety of Healthcare A Systematic Overview & Synthesis of the Literature. Report for the NHS Connecting for Health Evaluation Programme March 2008. 2009, 32956FFC-BD76-47B7-94D2-FFAC56979B74.
• Goodman, J.C., L. Gorman, and D. Herrick, Health Information Technology: Benefits and Problems. National Center for Policy Analysis, Washington, 2010.
• Sikhondze, N.C. and L. Erasmus, Electronic medical records: a developing and developed country analysis. 2016.
• Msiska, K.E.M., A. Kumitawa, and B.J.M.M.J. Kumwenda, Factors affecting the utilisation of electronic medical records system in Malawian central hospitals. 2017. 29(3): p. 247-253.
• Shams Amiri, N., Emerge and deploying electronic health records in developing countries. 2012.
• Alkraiji, A., T. Jackson, and I.J.C.-W.I.S. Murray, Health data standards and adoption process: Preliminary findings of a qualitative study in Saudi Arabia. 2011. 28(5): p. 345-359.
• Eldin, A.S., et al., Evaluation of electronic health records adoption in Egypt. 2013. 3(1): p. 1131-1134.
• Stadelmann, J., Assessing readiness for e-health in Egypt: a case study of Cairo University hospitals. 2012.
• Baxter, C., R. Dell, and R. Race, Assessing and improving EHR data quality. Journal of AHIMA, 2007. 78(3): p. 69-72.
• Arrowood, D., et al., Integrity of the healthcare record. Best practices for EHR documentation. Journal of AHIMA/American Health Information Management Association, 2013. 84(8): p. 58.
• Chan, K.S., J.B. Fowles, and J.P. Weiner, Review: electronic health records and the reliability and validity of quality measures: a review of the literature. Medical Care Research and Review, 2010. 67(5): p. 503-527.
• Bowman, S., Impact of Electronic Health Record Systems on Information Integrity. 2012.
• Darko-Yawson, S. and G. Ellingsen, Assessing and Improving EHRs Data Quality through a Socio-technical Approach. Procedia Computer Science, 2016. 98: p. 243-250.
• Kottmann, J., et al., Apache opennlp. 2011.
• Bayley, K.B., et al., Challenges in using electronic health record data for CER: experience of 4 learning organizations and solutions applied. Medical care, 2013. 51: p. S80-S86.
• [Capurro, D., et al., Availability of Structured and Unstructured Clinical Data for Comparative Effectiveness Research and Quality Improvement: A Multi-Site Assessment. eGEMs (Generating Evidence & Methods to improve patient outcomes). 2014; 2: 1. 2014, Article.
• Dullabh, P.M., et al., How patients can improve the accuracy of their medical records. eGEMs, 2014. 2(3).