Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format.
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| Title: | Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format. |
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| Authors: | Zaretsky J; Division of Hospital Medicine, Department of Medicine, NYU (New York University) Langone Health, New York, New York., Kim JM; Division of Hospital Medicine, Department of Medicine, NYU (New York University) Langone Health, New York, New York., Baskharoun S; Department of Medicine, NYU Long Island School of Medicine, Mineola., Zhao Y; Department of Population Health, NYU Langone Health, New York., Austrian J; Division of Hospital Medicine, Department of Medicine, NYU (New York University) Langone Health, New York, New York.; Department of Health Informatics, NYU Langone Medical Center Information Technology, New York., Aphinyanaphongs Y; Department of Population Health, NYU Langone Health, New York.; Predictive Analytics Unit, NYU Langone Health, New York., Gupta R; Department of Internal Medicine, Long Island Community Hospital, NYU Langone Health, New York., Blecker SB; Division of Hospital Medicine, Department of Medicine, NYU (New York University) Langone Health, New York, New York.; Department of Population Health, NYU Langone Health, New York., Feldman J; Department of Medicine, NYU Long Island School of Medicine, Mineola.; Department of Health Informatics, NYU Langone Medical Center Information Technology, New York. |
| Source: | JAMA network open [JAMA Netw Open] 2024 Mar 04; Vol. 7 (3), pp. e240357. Date of Electronic Publication: 2024 Mar 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2574-3805 |
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| DOI: | 10.1001/jamanetworkopen.2024.0357 |
