Artificial intelligence based assessment of clinical reasoning documentation: an observational study of the impact of the clinical learning environment on resident documentation quality.
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| Title: | Artificial intelligence based assessment of clinical reasoning documentation: an observational study of the impact of the clinical learning environment on resident documentation quality. |
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| Authors: | Schaye V; Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA. verity.schaye@nyulangone.org.; Institute for Innovations in Medical Education, New York University Grossman School of Medicine, New York, NY, USA. verity.schaye@nyulangone.org., DiTullio DJ; Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA., Sartori DJ; Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA., Hauck K; Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA., Haller M; Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA., Reinstein I; Institute for Innovations in Medical Education, New York University Grossman School of Medicine, New York, NY, USA., Guzman B; Division of Applied AI Technologies, New York University Langone Health, New York, NY, USA., Burk-Rafel J; Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.; Institute for Innovations in Medical Education, New York University Grossman School of Medicine, New York, NY, USA. |
| Source: | BMC medical education [BMC Med Educ] 2025 Apr 22; Vol. 25 (1), pp. 591. Date of Electronic Publication: 2025 Apr 22. |
| Publication Type: | Journal Article; Observational Study |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101088679 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6920 (Electronic) Linking ISSN: 14726920 NLM ISO Abbreviation: BMC Med Educ Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1472-6920 |
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| DOI: | 10.1186/s12909-025-07191-x |
