Currently submitted to: Journal of Medical Internet Research
Date Submitted: Sep 22, 2026
Open Peer Review Period: Sep 22, 2026 - Nov 17, 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Warning: This is an author submission that is not peer-reviewed or edited.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.
Intentional Sufficiency: Designing Clinical Sensing for the Information That Matters
ABSTRACT
Artificial intelligence cannot infer what a clinical environment does not measure. Acute inpatient psychiatry exposes this neglected infrastructure problem because safety, adherence, consent, and workflow constraints exclude much of the conventional sensing design space. We distinguish information handling from information creation and propose intentional sufficiency: first test whether routine care already creates information adequate for the intended use; when it does not, add only the sensing capability needed to create it. We illustrate both routes using an unusual routine nursing sleep record and a ward-specific sensing architecture under development.
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