Abstract : In the historical context of the U.S. healthcare system, providers traditionally relied on paper records for documenting and delivering patient care due to their ease, simplicity, low cost for utilization, and widespread acceptance. However, as technology has advanced over time, paper records have shown drawbacks. Accessibility and availability of paper records are limited to one person at a time. The voluminous nature of paper records requires significant storage space, and their practicality is limited, leading to segmentation with multiple volumes of bound books. Moreover, paper records lack the qualification for checks by decision tools due to their storage in inaccessible formats. These paper-based records have been identified as obstacles to providing clinical decision support for physicians. The regular use of Electronic Medical Records (EMRs) brings advantages to healthcare provider organizations, such as improved quality of patient care, safety, efficiency, and enhanced accessibility for education and research. The implementation of specific policies can hasten the adoption of EMRs in the U.S [1]. HIMSS North America, boasting 64,000 individual members, 640 corporate members, and over 450 non-profit organizations, collaborates with numerous volunteers to enhance the quality, cost-effectiveness, access, and value of healthcare through Information Technology [2]. While the specific details of Meaningful Use Stage 3 are not yet finalized, its objectives include simplifying the program, promoting interoperability between electronic health records, and improving patient outcomes. According to the current timeline, providers have the option to begin Stage 3 Meaningful Use in 2017, but it is not mandatory until 2018 [3].
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Cite : Kapoor, N., & Sodani, P. (2023). Study On An Outpatient Electronic Medical Record Adoption Model (O Emram) Resonating X Emr Software (1st ed., p. 34). Noble Science Press. https://doi.org/10.52458/9788196830076.2023.eb.ch-09
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NCBI www.ncbi.nlm.nih.gov
Downing, N. L., Adler-Milstein, J., Palma, J. P., Lane, S., Eisenberg, M., Sharp, C., ... & Longhurst, C. A. (2017). Health information exchange policies of 11 diverse health systems and the associated impact on volume of exchange. Journal of the American Medical Informatics Association, 24(1), 113-122.
