Evaluation of Diagnostic Recommendations Embedded in Medication Alerts: Prospective Single-Arm Interventional Study
This study demonstrates the potential of embedding diagnostic recommendations into alerts within a machine learning-based clinical decision support system to improve diagnostic completeness and support safer outpatient care. Future efforts should refine alerts to align with specialty-specific workflows and validate their effectiveness in diverse clinical settings.
Authors
- Yu‐Chen Liu (ORCID: https://orcid.org/0000-0002-4003-5393)
- Hsuan‐Chia Yang (ORCID: https://orcid.org/0000-0001-9198-0697)
- Yi-Chun Hung (ORCID: https://orcid.org/0009-0007-9639-6976)
- Guan‐Ling Lin (ORCID: https://orcid.org/0000-0002-7605-5556)
- Jeremiah Scholl (ORCID: https://orcid.org/0009-0009-6969-2053)
- You-Meei Lin (ORCID: https://orcid.org/0009-0003-5042-8419)
- Yu‐Chuan Li (ORCID: https://orcid.org/0000-0001-6497-4232)
Institutions
- National Taiwan University (TW)
- Taipei Medical University Hospital (TW)
- Tungs' Taichung MetroHarbor Hospital (TW)
- Taipei Medical University (TW)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-05-27
- DOI
- https://doi.org/10.2196/70731
- Primary Topic
- Pharmaceutical Practices and Patient Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00