Currently submitted to: JMIR Medical Informatics
Date Submitted: May 24, 2026
Open Peer Review Period: Jun 5, 2026 - Jul 31, 2026
(currently open for review)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Rethinking efficiency in clinical documentation for multi-stakeholder communication
ABSTRACT
Clinical documentation underpins patient care as an essential component of the diagnostic and management process, yet it also diverts clinicians' time and attention from direct patient interaction. AI tools are being adopted to reduce documentation time. However, we argue that the current focus on improving writing efficiency with AI could increase total documentation time by shifting effort to readers. We present a multi-stakeholder analysis and propose a set of design principles, grounded in human–computer interaction, to align AI-mediated documentation with diagnostic and management considerations, while reducing the total documentation burden.
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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.