Evidence map›Paper›PMID 39319818›Full record

ArticleThe western journal of emergency medicine2024

ChatGPT's Role in Improving Education Among Patients Seeking Emergency Medical Treatment.

Faris F Halaseh, Justin S Yang, Clifford N Danza, Rami Halaseh, Lindsey Spiegelman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The western journal of emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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.

Faris F HalasehUniversity of California, Irvine, School of Medicine, Irvine, California.
Justin S YangUniversity of California, Irvine, School of Medicine, Irvine, California.
Clifford N DanzaUniversity of California, Irvine, School of Medicine, Irvine, California.
Rami HalasehKaiser Permanente San Francisco, Department of Internal Medicine, San Francisco, California.
Lindsey SpiegelmanUniversity of California, Irvine, Department of Emergency Medicine, Irvine, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Providing appropriate patient education during a medical encounter remains an important area for improvement across healthcare settings. Personalized resources can offer an impactful way to improve patient understanding and satisfaction during or after a healthcare visit. ChatGPT is a novel chatbot-computer program designed to simulate conversation with humans- that has the potential to assist with care-related questions, clarify discharge instructions, help triage medical problem urgency, and could potentially be used to improve patient-clinician communication. However, due to its training methodology, ChatGPT has inherent limitations, including technical restrictions, risk of misinformation, lack of input standardization, and privacy concerns. Medicolegal liability also remains an open question for physicians interacting with this technology. Nonetheless, careful utilization of ChatGPT in clinical medicine has the potential to supplement patient education in important ways.

Indexed as

CommunicationPatient Education as TopicPhysician-Patient RelationsEmergency TreatmentHumans

Identifiers

PMID39319818
PMCPMC11418867

What OpenQuestion holds

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LicenceCC BY
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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.