Abstract—Health policy reform in major developing countries has changed how patients are treated for chronic diseases due to high cost and government regulations. In order to understand the overall patterns of the treatments, this study explores methods to collect Electronic Medical Records (EMRs) and analyzes patterns in prescription plan and treatment cost in health coverage programs from local data source. Focusing on admitted patients with conditions related to diabetes and hypertension, the results suggested high variations of treatment in patients with hypertension, but very limited variations among diabetes patients. The results also summarized prescription lists and treatment cost among health benefit programs.

Index Terms—electronic medical records, healthcare operations, prescriptions, pattern identification

Cite:Praowpan Tansitpong, Wanpracha Chaovalitwongse, and Apirak Hoonlor, "Exploring Variations from Electronic Medical Records (EMRs): A Case Study of Chronic Disease," International Journal of Pharma Medicine and Biological Sciences, Vol. 9, No. 2, pp. 96-101, April 2020. doi: 10.18178/ijpmbs.9.2.96-101

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