Evidence map›Paper›PMID 39348281›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

AHRQ's digital healthcare research program: 20 years of advancing innovation and discovery.

R Burciaga Valdez, Christine Dymek, Kevin Chaney, Edwin A Lomotan

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. 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

4 authors.

R Burciaga ValdezAgency for Healthcare Research and Quality, Rockville, MD 20857, United States.
Christine DymekAgency for Healthcare Research and Quality, Rockville, MD 20857, United States.
Kevin ChaneyAgency for Healthcare Research and Quality, Rockville, MD 20857, United States.
Edwin A LomotanAgency for Healthcare Research and Quality, Rockville, MD 20857, United States.

Funding

Department of Health and Human Services' Agency for Healthcare Research and Quality
6 · The paper itself

Abstract

objectivesTo reflect on the achievements of the Agency for Healthcare Research and Quality's (AHRQ) Digital Healthcare Research Program over the past 20 years, evaluate its impact on US healthcare quality and safety, and outline current and future priorities for digital healthcare research and innovation. PROCESS: The article reviews key milestones in AHRQ's digital healthcare initiatives, including its founding and its advances in telehealthcare and clinical decision support. It highlights AHRQ's contributions to advancing technology integration in healthcare, promoting patient safety, and addressing equity gaps. The article also examines the evolving role of artificial intelligence (AI) in healthcare delivery.

conclusionsAHRQ's Digital Healthcare Research Program has significantly contributed to improving healthcare quality. As digital technologies evolve, particularly with AI, the program remains focused on enhancing safety, equity, and efficiency in healthcare. Continued research and investment will be essential to maintaining progress and addressing new challenges.

Indexed as

Artificial IntelligenceHealth Services ResearchTelemedicineUnited States Agency for Healthcare Research and QualityDecision Support Systems, ClinicalHumansUnited Statesartificial intelligencedigital healthcare researchhealth information technologypatient safetytelehealthcare

Identifiers

PMID39348281
PMCPMC11491618

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.