ArticleJAMA2025
A Unified Approach to Health Data Exchange: A Report From the US DHHS.
Article in JAMA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Integrating mathematical modelling and artificial intelligence to combat emerging viral syndemics: A systematic review.New microbes and new infections · 2026Review
- Patient-governed agentic health data exchange.npj health systems · 2026Review
- Are Traditional Registries Becoming Obsolete in the Modern Digital Health Ecosystem?Journal of medical Internet research · 2026Article
- From Pandemic Response to Kill the Clipboard: Patient-Controlled Sharing of Health Data Using International Patient Summary (IPS) and QR codes.Applied clinical informatics · 2026Article
- Opportunities and obstacles in harnessing intraoperative data.Journal of abdominal wall surgery : JAWS · 2026Article
- A Review of the Importance and Relevance of Real-World Data and Real-World Evidence.Medical science monitor : international medical journal of experimental and clinical research · 2025Review
- Automated and interoperable methods for generalizable development of clinical machine-learning models for predicting neuromorbidity in critically ill children.medRxiv : the preprint server for health sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors.
Funding
Abstract
Importance: Health information technology, such as electronic health records (EHRs), has been widely adopted, yet accessing and exchanging data in the fragmented US health care system remains challenging. To unlock the potential of EHR data to improve patient health, public health, and health care, it is essential to streamline the exchange of health data. As leaders across the US Department of Health and Human Services (DHHS), we describe how DHHS has implemented fundamental building blocks to achieve this vision. Observations: Across DHHS, we have implemented 3 foundational building blocks called for by the 2016 21st Century Cures Act to create a unified approach for secure, high-quality, and timely exchange of health data across the health care system. The United States Core Data for Interoperability provides a minimum baseline for data elements that must be available in federally regulated health information technology systems such as certified EHRs. These data elements now must be accessible using Fast Healthcare Interoperability Resources-a secure, flexible, and open-industry standard for health data exchange. The Trusted Exchange Framework and Common Agreement provides a network to securely exchange health data across the country. The 3 building blocks of United States Core Data for Interoperability, Fast Healthcare Interoperability Resources, and Trusted Exchange Framework and Common Agreement are now in place thanks to diligent public and private sector work over 2 administrations. Across DHHS, we are working to refine these building blocks and increase their adoption through regulatory authorities, grants, and public-private partnerships. Conclusions and Relevance: The technological building blocks described in this article are creating a unified approach to health data exchange for patient access, clinical care, quality improvement, scientific research, public health, and other uses of health data. Collaborations between the public, nonprofit, and private sectors are needed to maximize their potential. By unlocking the potential of health data, these building blocks are the foundation of a 21st-century digital health care system that will improve the experience of patients and clinicians and result in better health outcomes.
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What OpenQuestion holds
Registered trials
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.