Evidence map›Paper›PMID 40341482›Full record

ArticleJournal of general internal medicine2025

The Economic, Political, and Societal Consequences of Disrupting Health Care Delivery with Artificial Intelligence.

Senthujan Senkaiahliyan, Allan S Detsky, Jun Ma, Patrick R Lawler, Jasika Paramasamy, Jacob J Visser

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2025. 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

6 authors.

Senthujan SenkaiahliyanInstitute for Health Policy Management and Evaluation, University of Toronto, Toronto, Canada.
Allan S DetskyInstitute for Health Policy Management and Evaluation, University of Toronto, Toronto, Canada. allan.detsky@sinaihealth.ca.ORCID 0000-0003-2772-3121
Jun MaAI Hub, University Health Network, Toronto, Canada.
Patrick R LawlerCardiology Division, McGill University Health Center, McGill University, Montreal, Canada.
Jasika ParamasamyDepartment of Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
Jacob J VisserDepartment of Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is poised to become a significant disruptive force in healthcare delivery, setting new standards by automating routine tasks and introducing AI-informed care models that could redefine the roles of physicians. However, this transformation presents significant challenges, including potential overdiagnosis, increased costs to consumers, environmental impacts, and distributional consequences as market power is transferred from current entities (e.g., physicians) to tech companies, making it crucial for healthcare professionals to carefully navigate this disruption while preserving beneficial aspects of traditional care.

Indexed as

Artificial IntelligenceDelivery of Health CarePoliticsHumansartificial intelligencedisruptioneconomichealthcare delivery

Identifiers

PMID40341482
PMCPMC12586744

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.