Can artificial intelligence make elective hand clinic letters easier for patients to understand?

Stoneham, Adam C; Walker, Lucy C; Newman, Michael J; Nicholls, Alex; Avis, Duncan

Stoneham, Adam C; Walker, Lucy C; Newman, Michael J; Nicholls, Alex; Avis, Duncan.

Afiliación

Stoneham AC; Department of Trauma and Orthopaedics, University Hospitals Southampton, Southampton, UK.
Walker LC; Department of Trauma and Orthopaedics, Hampshire Hospitals Foundation Trust, Basingstoke and North Hampshire Hospital, Basingstoke, UK.
Newman MJ; Department of Trauma and Orthopaedics, University Hospitals Southampton, Southampton, UK.
Nicholls A; Department of Trauma and Orthopaedics, Hampshire Hospitals Foundation Trust, Basingstoke and North Hampshire Hospital, Basingstoke, UK.
Avis D; Department of Trauma and Orthopaedics, Hampshire Hospitals Foundation Trust, Basingstoke and North Hampshire Hospital, Basingstoke, UK.

J Hand Surg Eur Vol ; : 17531934241246479, 2024 Apr 20.

Article en En | MEDLINE | ID: mdl-38641940

ABSTRACT

ABSTRACT

We investigated whether ChatGPT was able to increase the Flesch reading ease and the Flesch-Kincaid reading level of elective clinic letters written by hand surgeons. ChatGPT could not reliably simplify the hand clinic letters any further.

Palabras clave

Artificial intelligence; ChatGPT; elective hand clinic; patient letters; readability

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Hand Surg Eur Vol Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido

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