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¶ … electronic health record-Keeping (EHRs)
According to Jensen, Jensen & Brunak (2012)'s article entitled "Mining electronic health records: Towards better research applications and clinical care," scientists have a potentially invaluable source of information at their fingertips that can improve human health -- the data yielding by analyzing the electronic records of patients. "Mining of electronic health records (EHRs) has the potential for establishing new patient-stratification principles and for revealing unknown disease correlation" (Jensen, Jensen & Brunak 2012). One of the most common complaints about clinical trials is their limited nature: their accuracy may be compromised by relatively small numbers, limited demographic profiles of participants, and the difficulties of longitudinal analysis, all of which EHRs can potentially remedy.
The downside of using EHRs is that it involves using "scattered" and "heterogeneous" data not specifically designed for the purposes of research (Jensen, Jensen & Brunak 2012). Still, using such information is still vitally important, as the awareness of how specific genetic profiles can affect the development of...
As more and more hospitals implement EHR, with the encouragement of the federal government, the amount of potential information from such records will increase, regarding correlations of disease with specific patient genetic profiles as well as with health behaviors. This will improve early detection. However, what is valuable for healthcare collectively is not necessarily salutary for individual patients, whose privacy must be protected. In America, the Health Insurance Portability and Accountability Act (HIPAA) is designed to provide patients with safeguards; yet "despite such precautions, re-identification has been shown on some occasions to be a genuine risk, especially when data on human DNA are involved, as even a relatively small set of markers can enable unique identification" (Jensen, Jensen & Brunak 2012). Regionally and internationally, a lack of compatibility between EHR systems is yet another obstacle. Still, although the return on investment (ROI) for the organization may not always be clear in financial terms because of the logistical obstacles in implementing EHR, in terms of knowledge of human health, it is…
References
Gardner, Elizabeth. (2013). The healthcare approach to big data. Health Data Management, 21
(3).
Jensen, Peter B., Jensen, Peter & Brunak, Soren. (2012). Mining electronic health records:
Towards better research applications and clinical care. Nature Reviews Genetics, 13, 395-
405. Retrieved: http://www.nature.com/nrg/journal/v13/n6/full/nrg3208.html
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