A novel clinical decision support algorithm for constructing complete medication histories
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Published on: January 11, 2020
Ju Long1, Michael Juntao Yuan2
1Department of Computer Information Systems and Quantitative Methods, McCoy College of Business, 601 University Dr, Texas State University, San Marcos 78666, TX, USA.
Abstract:
A patient's complete medication history is a crucial element for physicians to develop a full understanding of the patient's medical conditions and treatment options. However, due to the fragmented nature of medical data, this process can be very time-consuming and often impossible for physicians to construct a complete medication history for complex patients. In this paper, we describe an accurate, computationally efficient and scalable algorithm to construct a medication history timeline. The algorithm is developed and validated based on 1 million random prescription records from a large national prescription data aggregator. Our evaluation shows that the algorithm can be scaled horizontally on-demand, making it suitable for future delivery in a cloud-computing environment. We also propose that this cloud-based medication history computation algorithm could be integrated into Electronic Medical Records, enabling informed clinical decision-making at the point of care.
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