Evidence map›Paper›PMID 39466098›Full record

ReviewNorth Carolina medical journal2024

A Compass for North Carolina Health Care Workers Navigating the Adoption of Artificial Intelligence.

Yvonne Mosley, Miriam Tardif-Douglin, LaPonda Edmondson

Abstract readReview
In one paragraph

Review in North Carolina medical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Yvonne MosleyPatient Safety and Quality Improvement, North Carolina Healthcare Association.
Miriam Tardif-DouglinResearch and Policy, North Carolina Healthcare Association.
LaPonda EdmondsonFoundation, North Carolina Healthcare Association.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article underscores the economic benefits of AI, the importance of collaborative innovation, and the need for workforce development to prepare health care professionals for an AI-enhanced future. We include guidance for strategic and ethical AI adoption while advocating for a unified approach to leveraging technology to improve patient outcomes.

Indexed as

Artificial IntelligenceHealth PersonnelHumansNorth Carolinaartificial intelligencehealth caremachine learningtechnologyworkforceYvonne Mosley

Identifiers

PMID39466098
PMCPMC13368191

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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.