Evidence map›Paper›PMID 40463804›Full record

ArticleHealth affairs scholar2025

Transforming the future of health: building learning health systems across the globe.

Sandra Yankah, Robert Saunders, Mark Tykocinski, Claudia Salzberg, Jonathan Gonzalez-Smith, Rachel Bonesteel, Cameron Joyce, Charles Kahn, Mark McClellan, Eyal Zimlichman

Abstract read
In one paragraph

Article in Health affairs scholar, 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

10 authors.

Sandra YankahDuke-Margolis Institute for Health Policy, Washington, DC 20004, United States.ORCID https://orcid.org/0000-0003-0740-1432
Robert SaundersDuke-Margolis Institute for Health Policy, Washington, DC 20004, United States.ORCID https://orcid.org/0000-0002-9349-872X
Mark TykocinskiDepartment of Pathology and Genomic Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, United States.ORCID https://orcid.org/0000-0002-3520-5300
Claudia SalzbergFuture of Health, Washington, DC 20001, United States.
Jonathan Gonzalez-SmithDuke-Margolis Institute for Health Policy, Washington, DC 20004, United States.
Rachel BonesteelDuke-Margolis Institute for Health Policy, Washington, DC 20004, United States.
Cameron JoyceDuke-Margolis Institute for Health Policy, Washington, DC 20004, United States.
Charles KahnFederation of American Hospitals, Washington, DC 20001, United States.ORCID https://orcid.org/0000-0002-5948-1721
Mark McClellanDuke-Margolis Institute for Health Policy, Washington, DC 20004, United States.ORCID https://orcid.org/0009-0004-8649-2372
Eyal ZimlichmanSheba Medical Center, Ramat Gan 52621, Israel.ORCID https://orcid.org/0000-0002-6276-9937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health care has faced disruptions over the past 5 years, including a global pandemic, supply chain interruptions, workforce shifts, and the introduction of new artificial intelligence (AI) tools. Health care organizations continue to leverage the learning health system (LHS) concept to adapt to these challenges through iterative feedback loops. The Future of Health (FOH), an international community of over 50 senior health leaders that focuses on shared challenges across international health systems, collaborated with the Duke-Margolis Institute for Health Policy in a consensus-building process with FOH members to identify opportunities for action in an LHS. Key areas for action identified include opportunities to leverage data and AI to support clinical decision-making, steps to create an organizational culture of learning, and strategies to engage patients and caregivers, illustrated through case examples.

Indexed as

decision-making supportdelivery reforminnovationlearning health systems

Identifiers

PMID40463804
PMCPMC12128919

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.