Evidence map›Paper›PMID 40882959›Full record

ArticleApplied clinical informatics2025

Patient-Driven Sharing of Health Information: A National Effort to Advance Equitable Interoperability.

Hannah K Galvin, Jeff Coughlin, Marianne Sharko, Maria A Grando, Mohammad Jafari, Serena Mack, Abigail English, Carolyn Petersen

Abstract read
In one paragraph

Article in Applied clinical informatics, 2025. 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

8 authors.

Hannah K GalvinDepartment of Information Technology, Cambridge Health Alliance, Cambridge, Massachusetts, United States.
Jeff CoughlinFederal Affairs, American Medical Association, Washington, District of Columbia, United States.
Marianne SharkoDepartment of Pediatrics, Weill Cornell Medicine, New York, New York, United States.
Maria A GrandoBiomedical Informatics, College of Health Solutions, Arizona State University, Phoenix, Arizona, United States.
Mohammad JafariIndependent Subject Matter Expert, Vancouver, British Columbia, Canada.
Serena MackSerenity Health Consulting, Toronto, Ontario, Canada.
Abigail EnglishUNC Gillings School of Global Public Health, Chapel Hill, North Carolina, United States.
Carolyn PetersenDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, United States.

Funding

SHARES: Substance use HeAlth REcord SharingR01DA056984 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MARIA ADELA GRANDO · 2023 to 2026
$2.6M
NIDA NIH HHS R01 DA056984
6 · The paper itself

Abstract

The goal of national interoperability is to improve care quality and decrease administrative burden and costs. Patients, providers, and other stakeholders are increasingly concerned that indiscriminate sharing of data may have deleterious, permanent consequences, as well as fail to provide granular control over the sharing of individual health data. Data segmentation and consent standards to date have been limited in scope and implementation, which has hindered efforts to scale data sharing preferences. Shift, an independent expert stakeholder task force, has been convened to mature standards, terminologies, and consensus-driven implementation guidance, which are prerequisites for more robust policy drivers needed to support nationwide sensitive data segmentation and consent capabilities. This paper describes Shift's framework and processes as means to advance equitable interoperability.

Indexed as

Health Information InteroperabilityInformation DisseminationHumans

Identifiers

PMID40882959
PMCPMC12396901

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.