Peer-Reviewed Publication
NEJM AI2026;3(6)June 1, 2026Journal Article

MEDS - An Emerging Data Standard and Ecosystem for Health AI Research.

Matthew B A McDermott1, Ethan Steinberg2,3, Jason A Fries2,4, Robin P van de Water5, Chao Pang1, Patrick Rockenschaub6, Pawel Renc7,8, Jungwoo Oh9, Kamilė Stankevičiūtė10, Justin Xu11, Tom J Pollard12, Nassim Oufattole13, Michael Wornow14, Teya S Bergamaschi13, Hyewon Jeong13, Simon A Lee15, Vincent Jeanselme1, Kiril V Klein16, Mikkel Odgaard16, Maria E Montgomery16, Arkadiusz Sitek8, Mads Nielsen16, Jeffrey N Chiang15,17, Noa Dagan18,19, Isaac Kohane20, Shalmali Joshi1, Edward Choi9, Nigam H Shah2
1Department of Biomedical Informatics, Columbia University, New York, NY, USA.
2Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.
3Prealize Health, Palo Alto, CA, USA.
4Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
5Hasso Plattner Institute, University of Potsdam, Potsdam, Germany.
6Institute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria.
7AGH University of Kraków, Kraków, Poland.
8Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston.
9Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology, Seoul.
10Department of Computer Science and Technology, University of Cambridge, Cambridge, UK.
11Big Data Institute, University of Oxford, Oxford, UK.
12Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, USA.
13Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, USA.
14Department of Computer Science, Stanford University, Stanford, CA, USA.
15Department of Computational Medicine, University of California, Los Angeles, Los Angeles, USA.
16Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.
17Department of Neurosurgery, University of California, Los Angeles, Los Angeles, USA.
18Clalit Research Institute, Clalit Health Services, Faculty of Computer and Information Science, Ramat-Gan, Israel.
19Ben- Gurion University of the Negev, Beersheba, Israel.
20Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.

Abstract

While data standards have been well adopted and highly impactful for observational health informatics, the emerging application of artificial intelligence (AI) to electronic health record (EHR) data - known broadly as health AI - still lacks broadly adopted data standards. This gap limits reproducibility and the development of open-source ecosystems for health AI, as well as limiting the ability t…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.