Evidence map›Paper›PMID 35258464›Full record

ArticleJMIR medical informatics2022

Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health.

Winston R Liaw, John M Westfall, Tyler S Williamson, Yalda Jabbarpour, Andrew Bazemore

Abstract read
In one paragraph

Article in JMIR medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. AI and Primary Care: Scoping Review.Journal of medical Internet research · 2025
    Article
  3. Article
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

5 authors.

Winston R Liaw *Department of Health Systems and Population Health Sciences, University of Houston, Houston, TX, United States.ORCID https://orcid.org/0000-0002-7865-1685
John M Westfall *Robert Graham Center for Policy Studies in Primary Care, Washington, DC, United States.ORCID https://orcid.org/0000-0002-1070-0268
Tyler S Williamson *Centre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.ORCID https://orcid.org/0000-0001-5029-2345
Yalda Jabbarpour *Robert Graham Center for Policy Studies in Primary Care, Washington, DC, United States.ORCID https://orcid.org/0000-0003-3147-7437
Andrew BazemoreCenter for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, DC, United States.ORCID https://orcid.org/0000-0002-6028-2279

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With conversational agents triaging symptoms, cameras aiding diagnoses, and remote sensors monitoring vital signs, the use of artificial intelligence (AI) outside of hospitals has the potential to improve health, according to a recently released report from the National Academy of Medicine. Despite this promise, the success of AI is not guaranteed, and stakeholders need to be involved with its development to ensure that the resulting tools can be easily used by clinicians, protect patient privacy, and enhance the value of the care delivered. A crucial stakeholder group missing from the conversation is primary care. As the nation's largest delivery platform, primary care will have a powerful impact on whether AI is adopted and subsequently exacerbates health disparities. To leverage these benefits, primary care needs to serve as a medical home for AI, broaden its teams and training, and build on government initiatives and funding.

Indexed as

artificial intelligenceprimary care

Identifiers

PMID35258464
PMCPMC8941433

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.