Part 1:
Describe the role of analytics in healthcare. How does HIT support or hinder this?
Thanks to today’s advances in technology, the relevance of analytics in healthcare cannot be overstated. As a matter of fact, Cornelius (2015) points out that “advances in technology have enabled the medical community to generate and capture more data than ever before” (p. 95). In essence, analytics in healthcare has got to do with the utilization of the available (and relevant) data, i.e. patient data, to derive meaningful as well as actionable insights. The said data is often obtained from EMRs/EHRs.
In basic terms, it is via analytics that both structured and unstructured data is transformed into information that is not only meaningful, but also useful as far as the further enhancement of the efficiency of services offered in a healthcare setting is concerned. In the final analysis, therefore, analytics come in handy in the organization of data “to improve patient health and outcomes, help prevent and detect diseases, and diagnose diseases with more accuracy” (Cornelius, 2015, p. 95). Health information technology (HIT) comes in handy in this endeavor. This is more so the case given the enormous amount of data capable of being generated in any health...
References
Cornelius, F.H. (2015). Ethical Health Informatics: Challenges and Opportunities (3rd ed.). Burlington, MA: Jones & Bartlett Publishers.
Kabene, S.M. (Ed.). (2010). Healthcare and the Effect of Technology: Developments, Challenges and Advancements. New York, NY: IGI Global.
McWatters, C.S. & Zimmerman, J.L. (2015). Management Accounting in a Dynamic Environment. New York, NY: Routledge.
Walt, A.J. (Ed.). (2005). Theories of Social and Economic Justice. Stellenbosch: African Sun Media.
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