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ChatGPT-4 generates orthopedic discharge documents faster than humans maintaining comparable quality : a pilot study of 6 cases

Rosenberg, Guillermo Sanchez (författare)
Univ Hosp Basel, Dept Orthopaed & Trauma Surg, Basel, Switzerland.
Magneli, Martin (författare)
Karolinska Institutet
Barle, Niklas (författare)
Danderyd Hosp, Karolinska Inst, Dept Clin Sci, Stockholm, Sweden.
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Kontakis, Michael G. (författare)
Uppsala universitet,Ortopedi och Handkirurgi
Muller, Andreas Marc (författare)
Univ Hosp Basel, Dept Orthopaed & Trauma Surg, Basel, Switzerland.
Wittauer, Matthias (författare)
Univ Hosp Basel, Dept Orthopaed & Trauma Surg, Basel, Switzerland.
Gordon, Max (författare)
Danderyd Hosp, Karolinska Inst, Dept Clin Sci, Stockholm, Sweden.
Broden, Cyrus (författare)
Uppsala universitet,Ortopedi och Handkirurgi
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Karolinska Institutet Univ Hosp Basel, Dept Orthopaed & Trauma Surg, Basel, Switzerland (creator_code:org_t)
Medical Journals Sweden, 2024
2024
Engelska.
Ingår i: Acta Orthopaedica. - : Medical Journals Sweden. - 1745-3674 .- 1745-3682. ; 95, s. 152-156
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background and purpose - Large language models like ChatGPT-4 have emerged. They hold the potential to reduce the administrative burden by generating everyday clinical documents, thus allowing the physician to spend more time with the patient. We aimed to assess both the quality and efficiency of discharge documents generated by ChatGPT-4 in comparison with those produced by physicians.Patients and methods - To emulate real -world situations, the health records of 6 fictional orthopedic cases were created. Discharge documents for each case were generated by a junior attending orthopedic surgeon and an advanced orthopedic resident. ChatGPT-4 was then prompted to generate the discharge documents using the same health record information. The quality assessment was performed by an expert panel (n = 15) blinded to the source of the documents. As secondary outcome, the time required to generate the documents was compared, logging the duration of the creation of the discharge documents by the physician and by ChatGPT-4.Results - Overall, both ChatGPT-4 and physiciangenerated notes were comparable in quality. Notably, ChatGPT-4 generated discharge documents 10 times faster than the traditional method. 4 events of hallucinations were found in the ChatGPT-4-generated content, compared with 6 events in the human/physician produced notes.Conclusion - ChatGPT-4 creates orthopedic discharge notes faster than physicians, with comparable quality. This shows it has great potential for making these documents more efficient in orthopedic care. ChatGPT-4 has the potential to significantly reduce the administrative burden on healthcare professionals.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Health Care Service and Management, Health Policy and Services and Health Economy (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Omvårdnad (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Nursing (hsv//eng)

Nyckelord

Administrative Task
AI in orthopaedics
Artificial Intelligence
ChatGPT
Discharge Documents
Large Language models
Orthopaedic Surgery
Physician Burnout

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