Abstract
This study investigates patterns in electronic medical records (EMRs) in Thailand in terms of prescription and treatment cost from patient data with identification diagnosis for cancer, hypertension, and diabetes. This study developed a comparison model of implementing multiple cloud computing platforms in tracking and monitoring medical records for hospitals with limited database and analysis capacity. This study also suggested an application of health data analytics in identifying prescriptions that violated prescription guidelines for patients with chronic diseases.
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Tansitpong, P. (2022). Enabling Cloud Computing to Facilitate Health Analytics Application from Local Hospitals in Thailand. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 235. Springer, Singapore. https://doi.org/10.1007/978-981-16-2377-6_20
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DOI: https://doi.org/10.1007/978-981-16-2377-6_20
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