Evidence map›Paper›PMID 42133568›Full record

ArticleJournal of medical Internet research2026

Maturity, Safety, and Equity of AI-Enabled Systems and Triage in Integrated Primary Care.

Siaw-Teng Liaw

Abstract read
In one paragraph

Article in Journal of medical Internet research, 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

1 author.

Siaw-Teng LiawDiscipline of General Practice, School of Clinical Medicine and School of Population Health, UNSW Sydney, 24 Kelvinside St, Balwyn North, Victoria, 3104, Australia, 61 407818281.ORCID http://orcid.org/0000-0001-5989-3614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlabelled: Artificial intelligence (AI)-enabled systems must simultaneously improve the Quintuple Aim and digital health maturity, including equitable access to and quality and interoperability of data, tools, agents, and services. This requires a comprehensive sociotechnical and global approach to cocreation, management, and governance for individuals and organizations in the ecosystem.

Indexed as

Artificial IntelligenceDelivery of Health Care, IntegratedPrimary Health CareTriageDigital HealthHumansPatient SafetyAIartificial intelligenceclinical decision supportdigital maturitygeneral practicehealth equitypatient safetyprimary careQuintuple Aimreal-world evidencetriage

Identifiers

PMID42133568
PMCPMC13175141

What OpenQuestion 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 OpenQuestion graph.