Evidence map›Paper›PMID 41649949›Full record

ArticleHealthcare management forum2026

Beyond Efficiencies: Guiding Artificial Intelligence in the Planning and Design of Healthcare Facilities.

Stephen Verderber, Ramsey Kin-Sun Leung

Abstract read
In one paragraph

Article in Healthcare management forum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Stephen VerderberDalla Lana School of Public Health/Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-8359-3144
Ramsey Kin-Sun LeungCentre for Design + Health Innovation, University of Toronto, Toronto, Ontario, Canada.ORCID 0009-0006-4735-6495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence for health holds enormous transformative potential. It has already proven successful in enhancing patient outcomes, facilitating the duties of professional caregivers, and their organizations. Its potential applications in the field of healthcare architecture are similarly being explored. This article discusses the role and function of generative artificial intelligence with respect to the professionals who work in close collaboration with healthcare organizational clients and their direct-care constituencies in decision framing the planning, design, construction, and management of healthcare facilities. Opportunities and challenges associated with generative artificial intelligence in the facility procurement process are discussed, including the role of ethics and societal responsibility at this critical juncture.

Indexed as

Artificial IntelligenceFacility Design and ConstructionHealth FacilitiesEfficiency, OrganizationalGenerative Artificial IntelligenceHumans

Identifiers

PMID41649949
PMCPMC13272822

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.