Adopting Business Intelligence Techniques in Healthcare Practice

Hui Chuan Huang, Hui Kuan Wang, Hwei Ling Chen, Jeng Wei, Wei Hsian Yin, Kuan Chia Lin

研究成果: 雜誌貢獻文章同行評審

摘要

With the rapid development of information technology, digital health technologies have become increasingly prevalent in the field of healthcare. In this study, business intelligence (BI) techniques were combined with research-based prediction models to increase the efficiency and quality of healthcare practices. A data scenario involving 200 older adults with various measurements, including health beliefs, social support, self-efficacy, and disease duration, was used to establish a medication adherence prediction model in a BI system. A regression model, logistic regression model, tree model, and score-based prediction model were used to predict medication adherence among older adults. The developed BI-based prediction model has visualization, real-time feedback, and data updating functionality. These features enhanced the effectiveness of prediction models in clinical practice. Healthcare professionals can incorporate the proposed system into their care practice for health assessments and management, and patients can use the system to manage themselves. The developed BI-based care system can also be used to achieve effective communication and shared decision-making between care managers and patients. Further empirical studies integrating prediction models into the proposed BI system for assessment, management, and decision-making in healthcare practice are warranted. © 2024 by the authors.
原文英語
文章編號65
期刊Informatics
11
發行號3
DOIs
出版狀態已發佈 - 9月 2024

ASJC Scopus subject areas

  • 通訊
  • 人機介面
  • 電腦網路與通信

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