AI-generated draft replies to patient messages: exploring effects of implementation

IntroductionThe integration of Large Language Models (LLMs) in Electronic Health Records (EHRs) has the potential to reduce administrative burden. Validating these tools in real-world clinical settings is essential for responsible implementation. In this study, the effect of implementing LLM-generat...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Charlotte M. H. H. T. Bootsma-Robroeks, Jessica D. Workum, Stephanie C. E. Schuit, Anne Hoekman, Tarannom Mehri, Job N. Doornberg, Tom P. van der Laan, Rosanne C. Schoonbeek
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2025-06-01
Schriftenreihe:	Frontiers in Digital Health
Schlagworte:	large language model (LLM) inbasket messages adoption time saving LLM generated draft responses electronic health records
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fdgth.2025.1588143/full
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