Enhancing Guideline-Based Prescribing and Personalized Medication Scheduling.

Clicks: 186
ID: 41982
2019
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Ranked #128 of 170 articles by views in Studies in health technology and informatics

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Abstract
Poor communication of medication administration instructions is a preventable cause of medication nonadherence. The Universal Medication Schedule (UMS) framework improves adherence by providing a simplified set of dose timing rules. However, this framework does not readily generalize to individuals with varying daily routines. We propose a point-of-care solution for enhancing guideline-based electronic prescribing and personalizing dose schedules. We describe a JSON-based approach to encode and execute standard treatment guidelines to support electronic prescribing as well as an algorithm for optimizing medication administration schedules based on a patient's daily routine. We evaluated the structure and accuracy of our JavaScript Object Notation (JSON) formalism focusing on Kenya's hypertension treatment guidelines. Our experiments compare the medication schedules generated by our algorithm with those generated by pharmacists. Our findings show that treatment guidelines can be efficiently represented and executed using the JSON formalism, and that different medication administration schedules can be generated automatically and optimized for patients' daily routines.
Reference Key
wachira2019enhancingstudies Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wachira, Charles;Osebe, Samuel;Ogallo, William;Walcott-Bryant, Aisha;
Journal Studies in health technology and informatics
Year 2019
DOI
10.3233/SHTI190348
URL
Keywords Keywords not found

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