Optimization and impact of an evidence-based pre-audit prescription decision system in primary healthcare settings
The prescription pre-audit intelligent decision system enhances patient safety and promotes rational drug use. However, the system requires fine-tuning and continuous improvement of the system rule library to effectively validate prescriptions and improve prescription accuracy. In the future, integrating big data, artificial intelligence and other technologies for secondary system development will be a model worthy of consideration. In addition, promoting this system to medical federation to establish a regional prescription review model will further promote the high-quality development of pharmaceutical services.
Authors
- Tao Xue (ORCID: https://orcid.org/0000-0002-1443-2475)
- Xinan Yue (ORCID: https://orcid.org/0000-0003-3379-9392)
- Gaofeng Zheng (ORCID: https://orcid.org/0000-0003-0870-6166)
- Hongmei Liu (ORCID: https://orcid.org/0000-0003-1064-2448)
- Dan Wang (ORCID: https://orcid.org/0000-0002-1054-8040)
- Lei Yang
- Jingjing Zhong (ORCID: https://orcid.org/0000-0002-8137-0681)
Institutions
- University of Electronic Science and Technology of China (CN)
- Fuyang City People's Hospital (CN)
- Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (CN)
- Yantai Laiyang Central Hospital (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2025-04-14
- DOI
- https://doi.org/10.3389/fphar.2025.1491810
- Citations
- 1
- Primary Topic
- Pharmaceutical Practices and Patient Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.22
Funders
- Chengdu Science and Technology Bureau