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Research Proposal Electronic Health Records

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Research Proposal Electronic Health Records
Effects of Technological Experience on Adoption and Usage of Electronic Health Records

Introduction
The integration of electronic health records in the IT infrastructures supporting medical facilities enables improved access to and recording of patient data, enhanced ability to make more informed and more-timely decisions, and decreased errors. Despite these benefits, there are mixed results as to the use of EHR. The aim of this research is to determine if medical health professionals who lack experience with technology are slower to adopt and use electronic health records (EHR).
Research has shown that the healthcare industry is plagued by rapidly increasing costs and poor quality. The United States medical care is the world’s most costly, but its outcomes are mediocre compared with other industrialized, and some non-industrialized, nations. Medical errors are a major problem resulting in upwards of 98000 deaths a year; as a result, patient safety has become a top priority. The healthcare system has been slow to take advantage of EHR and realize the benefits of computerization: that is, to improve access to records and patient data, to reduce incorrect dose errors, avoid drug interactions, and ensure the right patient is in the operating room (Noteboom 2012).
Despite the obvious benefits a 2007 survey by the American Hospital Association reported that only 11% of hospitals had fully implemented EHR. Another study by Vishwanath& Scamurra reported less than 10% of physicians in different practices and settings in the US use EHR. Blumenthal (2009) cites only 1.5% of US hospitals have comprehensive EHR systems. A similar 2009 study by the American Hospital Association shows less than 2% of hospitals use comprehensive EHR and about 8% use a basic EHR in at least one care unit. These findings indicate the adoption of HER continues to be low in US hospitals (Manos, 2009). Understanding the reason for the lack of technological integration is pivotal to



References: Bates, D. W., Ebell, M., Gotlieb, E., Zapp, J., & Mullins, H. C. (2003). A proposal for electronic medical records in US primary care. Journal of the American Medical Informatics Association, 10(1), 1-10. Blumenthal, D. (2009). Stimulating the adoption of health information technology. New England Journal of Medicine, 360(15), 1477-1479. Burt, C. W., & Sisk, J. E. (2005). Which physicians and practices are using electronic medical records?. Health Affairs, 24(5), 1334-1343. DesRoches, C. M., Campbell, E. G., Rao, S. R., Donelan, K., Ferris, T. G., Jha, A., ... & Blumenthal, D. (2008). Electronic health records in ambulatory care—a national survey of physicians. New England Journal of Medicine, 359(1), 50-60 Kohn, L Kaplan, B., & Harris-Salamone, K. D. (2009). Health IT success and failure: recommendations from literature and an AMIA workshop. Journal of the American Medical Informatics Association, 16(3), 291-299. Lærum, H., Ellingsen, G., & Faxvaag, A. (2001). Doctors ' use of electronic medical records systems in hospitals: cross sectional survey. Bmj, 323(7325), 1344-1348. McDonald, C. J. (1997). The barriers to electronic medical record systems and how to overcome them. Journal of the American Medical Informatics Association, 4(3), 213-221. Vishwanath, A., & Scamurra, S. D. (2007). Barriers to the adoption of electronic health records: using concept mapping to develop a comprehensive empirical model. Health Informatics Journal, 13(2), 119-134.

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