Application of artificial intelligence tools and clinical documentation burden: a systematic review and meta-analysis
AI technologies offer promising benefits for reducing clinical documentation burden. However, their implementation must be accompanied by rigorous quality control and ongoing evaluation in practical settings to optimize their effectiveness and safeguard patient care outcomes.
Authors
- Yali Chen (ORCID: https://orcid.org/0000-0001-9407-7049)
- Jun Zhao (ORCID: https://orcid.org/0000-0003-4585-5662)
- Fujian Song
- Hanxiang Liu
Institutions
- University of East Anglia (GB)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Knowledge Integration (United Kingdom) (GB)
- Children's Hospital of Chongqing Medical University (CN)
- University of Chinese Academy of Sciences (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-12-24
- DOI
- https://doi.org/10.1186/s12911-025-03324-w
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62