Utilization of Generative AI-drafted Responses for Managing Patient-Provider Communication

The integration of generative AI (GenAI) in patient communication presents benefits and challenges. This retrospective observational study analyzed EHR audit logs to assess how 75 healthcare professionals (HCPs) utilized AI-generated drafts for patient messages from October 2023 to August 2024 at a large health system in New York City. Overall utilization was low (19.4%), though prompt refinements improved usage (from 12% to 20%), particularly among physicians. GenAI drafts were generated for all messages, including 80% that received no response, adding to the review burden and potentially undermining efficiency. Text analysis showed HCPs preferred concise, information-rich drafts, with role-based differences-physicians favored shorter drafts, while clinical support staff preferred more empathetic responses. AI-generated drafts reduced message turnaround time by 6.76% despite a marginal increase in required steps (InBasket actions). These findings highlight the need for targeted GenAI deployment strategies, better aligned with clinician workflows and optimized draft generation for improved efficiency.

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Publication Details

Journal
npj Digital Medicine
Published
2025-10-02
DOI
https://doi.org/10.1038/s41746-025-01972-w
Citations
5
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
14.69

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article

Utilization of Generative AI-drafted Responses for Managing Patient-Provider Communication

Antoinette Schoenthaler, Oded Nov, David Mann, Adam Szerencsy et al.
5 citations
npj Digital Medicine
Electronic Health Records Systems
14.69
article

Utilization of Generative AI-drafted Responses for Managing Patient-Provider Communication

Antoinette Schoenthaler, Oded Nov, David Mann, Adam Szerencsy, Safiya Richardson, Batia M. Wiesenfeld, Vincent J. Major, Soumik Mandal, William Small
article en
5 citations

Abstract

The integration of generative AI (GenAI) in patient communication presents benefits and challenges. This retrospective observational study analyzed EHR audit logs to assess how 75 healthcare professionals (HCPs) utilized AI-generated drafts for patient messages from October 2023 to August 2024 at a large health system in New York City. Overall utilization was low (19.4%), though prompt refinements improved usage (from 12% to 20%), particularly among physicians. GenAI drafts were generated for all messages, including 80% that received no response, adding to the review burden and potentially undermining efficiency. Text analysis showed HCPs preferred concise, information-rich drafts, with role-based differences-physicians favored shorter drafts, while clinical support staff preferred more empathetic responses. AI-generated drafts reduced message turnaround time by 6.76% despite a marginal increase in required steps (InBasket actions). These findings highlight the need for targeted GenAI deployment strategies, better aligned with clinician workflows and optimized draft generation for improved efficiency.

npj Digital MedicineVol. 8(1)
NYU Langone Health (US), New York University (US)
National Science Foundation
Openalex Percentile: Top 1%
Electronic Health Records Systems
14.69
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Utilization of Generative AI-drafted Responses for Managing Patient-Provider Communication — Antoinette Schoenthaler, Oded Nov, et al. · npj Digital Medicine (2025) | TGRS Research Map | TGRS