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

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)514-519
Number of pages6
JournalComputer Methods and Programs in Biomedicine
Volume104
Issue number3
DOIs
Publication statusPublished - Dec 2011

    Fingerprint

Keywords

  • Medication schedule
  • Prescription

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Health Informatics

Cite this

Wang, Z-L., Wu, L. C., Huang, Y. J., Lee, P., Chu, T. B., Chung-Jung, F., Chen, D. R., Yang, M. C., Jian, W. S., & Li, Y. C. (2011). A model to personalize scheduling of complex prescriptions. Computer Methods and Programs in Biomedicine, 104(3), 514-519. https://doi.org/10.1016/j.cmpb.2011.09.005