A model to personalize scheduling of complex prescriptions

Zong-Lun Wang, Li Chu Wu, Yan Jhih Huang, Peisan Lee, Tu Bin Chu, Fu Chung-Jung, Duan Rung Chen, Ming Chin Yang, Wen Shan Jian, Yu Chuan Li

研究成果: 雜誌貢獻文章同行評審

2 引文 斯高帕斯(Scopus)

摘要

Medication adherence tends to affect the recovery of patients. Patients having poor medication adherence show a worsening of their condition and/or increased complications. Unfortunately, between 20% and 50% of chronic patients are unable to manage their medications. This study proposes a model to improve the patients' medication compliance by reducing medication frequency. Published studies have shown that, based on the patients' lifestyle, simplification of the medication frequency and remodeling of the medication schedule is able to help improve medication adherence. Therefore, this study tried to simplify medication frequency by combining therapies. Moreover, by adjusting according to lifestyle, the study also tries to remodel medication timing in relation to mealtimes to create personal medication schedules. In this study, we used 19,393,452 outpatient prescriptions from the National Health Insurance Research Database to verify our system (algorithm optimized). At the same time, we examined the differences between the frequency summarized by general public and experts' advice medication behavior. Compared with the experts' advice method, this system has reduced the medication frequency in about 49% of prescriptions. Using combined medication to simplify medication frequency is able to reduce the medication frequency significantly and improve medication adherence. Furthermore, this should also improve patient recovery, reduce drug hazards and result in less drug wastage.
原文英語
頁(從 - 到)514-519
頁數6
期刊Computer Methods and Programs in Biomedicine
104
發行號3
DOIs
出版狀態已發佈 - 十二月 2011

ASJC Scopus subject areas

  • 電腦科學應用
  • 軟體
  • 健康資訊學

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