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This paper is in the following e-collection/theme issue:

Ambient AI Scribes and AI-Driven Documentation Technologies (115) Clinical Informatics (2397) Adoption and Change Management of eHealth Systems (1165) Organizational Issues (272) Knowledge Translation and Implementation Science (821) Electronic Health Records (1798)

Published on in Vol 14 (2026)

This is a member publication of University of Edinburgh (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88472, first published .
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The Regional Implementation of an Electronic Health Record–Integrated Ambient Scribe in Primary and Secondary Care in England: Real-Time Qualitative Evaluation

The Regional Implementation of an Electronic Health Record–Integrated Ambient Scribe in Primary and Secondary Care in England: Real-Time Qualitative Evaluation

Authors of this article:

Kathrin Cresswell1 Author Orcid Image ;   Catharine Rose2 Author Orcid Image ;   Jessica Howdle2 Author Orcid Image ;   Lucas Martinus Seuren1 Author Orcid Image ;   Robin Williams3 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. McInerney S, Hall P, Cresswell K. Large language models in oncology: promise, pitfalls, and the path to real-world adoption. ESMO Real World Data and Digital Oncology 2026;13:100723 View
  2. Wang X, Wang H. Hidden labor, monitoring, and exit burdens after hospital operational AI deployment: implications for resource-constrained Chinese hospitals. Frontiers in Medicine 2026;13 View