Evidence map›Paper›PMID 42594964›Full record

ArticleMethods of information in medicine2026

The Roles of Biomedical Informatics for an Equitable Learning Health System: Lessons from a Year of Scientific Informatics Literature.

Humayera Islam, Pushkala Jayarman, Nick F H Reid, Pratishtha Guckhool, Malin Britt-Lalich, Parand Shams, Zihan Xu, James J Cimino

Abstract read
In one paragraph

Article in Methods of information in medicine, 2026. 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.

Humayera Islam *Institute for Population and Precision Health, The University of Chicago, Illinois, United States, Chicago.
Pushkala Jayarman *Icahn School of Medicine Mount Sinai, Windreich Department of Artificial Intelligence and Human Health, New York, United States, New York.
Nick F H Reid *University of Washington, Department of Biomedical Informatics and Medical Education, Washington, United States, Seattle.
Pratishtha GuckhoolSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Pennsylvania, United States, Philadelphia.
Malin Britt-LalichSchool of Nursing, University of Minnesota, Minnesota, United States, Minneapolis.
Parand ShamsUniversity of Cincinnati, Department of Biostatistics, Health Informatics and Data Sciences, Ohio, United States, Cincinnati.ORCID 0009-0005-1122-9868
Zihan XuSchool of Computing and Information Systems, University of Melbourne, Victoria, Australia, Melbourne.
James J CiminoHeersink School of Medicine, University of Alabama at Birmingham, Department of Biomedical Informatics and Data Science, Alabama, United States, Birmingham.ORCID 0000-0003-4101-1622

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biomedical informatics plays a central role in supporting learning health systems (LHSs) that aim to continuously improve care by transforming data into knowledge and knowledge into action. However, health care data reflect existing disparities in access, delivery, and outcomes, raising concerns about whether the LHS cycle can improve care equitably without intentional design. Objective: This study aims to describe the recurring theme of health equity found in recent biomedical informatics literature, using a convenience sample of articles contributed to the 2025 American Medical Informatics Association (AMIA) Year in Review (YIR). Methods: In developing the 2025 AMIA YIR presentation, we found that 240 articles submitted by AMIA experts could be organized into multiple themes to allow summarization and synthesis for efficient presentation of 140 of them. Many themes could themselves be organized around the concept of the LHS, which further streamlined the presentation. We were struck by how frequently biomedical informatics literature addressed health equity in relation to LHSs. We therefore applied our own expertise to distill relevant articles from the larger set to explore this recurrent issue. Results: Here, we present 56 papers selected from 9 of the 19 themes that illustrate how biomedical informatics can support equity at each stage of the LHS. Mature LHS implementations provided large-scale examples of how learning cycles can be designed for equity. Real-World Evidence and Inclusive Data themes showed that equitable learning depends on whether data are complete enough to represent the populations the system intends to serve. Natural language processing and artificial intelligence (AI) modeling showed how data are transformed into knowledge and translated into clinical action through decision support. Trust and justice in data use, health equity as infrastructure, and equitable access emerged as interdependent conditions that influence whether the learning cycle operates equitably and effectively. Conclusion: Equity emerged as a condition influencing every stage of the LHS cycle. The value of informatics interventions cannot be judged by technical performance alone, but by whether they build learning cycles that are inclusive, accountable, and equitable for the populations they serve.

Indexed as

Health EquityLearning Health SystemMedical InformaticsHumans

Identifiers

PMID42594964
PMCPMC13668398

What OpenQuestion holds

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Registered trials

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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.