The Research Resource for Complex Physiologic Signals

We recognize that there is value in creating datasets or models that are either derived from MIMIC or which augment MIMIC in some way (for example, by adding annotations). Here are some guidelines on creating these datasets and models:

• Any derived datasets or models should be treated as containing sensitive information. If you wish to share these resources, they should be shared on PhysioNet under the same agreement as the source data.
• If you would like to use the MIMIC acronym in your project name, please include the letters “Ext” (for example, MIMIC-IV-Ext-YOUR-DATASET"). Ext may either indicate “extracted” (e.g. a derived subset) or “extended” (e.g. annotations), depending on your use case.
• Please select the relevant "Parent Projects" in the Discovery tab of the submission portal when preparing your project for submission.

This repository is under review by NIH for potential modification in compliance with U.S. federal Administration directives.

PhysioNet has introduced updated access policies for certain datasets to comply with the U.S. Department of Justice’s Data Security Program (DSP) under Executive Order 14117. The DSP final rule took effect on April 8, 2025 and full enforcement began July 8, 2025: https://www.justice.gov/opa/media/1396351/dl

The DSP imposes export-control–style restrictions on U.S. persons sharing or transferring bulk sensitive personal data (e.g., genomic, biometric, health, financial, geolocation) and U.S. government-related data with specified countries or "covered persons". The rule applies to interactions with countries including: China (including Hong Kong and Macau), Cuba, Iran, North Korea, Russia, and Venezuela, as well as individuals or entities connected to them.

PhysioNet now prevents access to certain controlled-access datasets for users connecting from IP addresses or affiliations in those regions, or for those classified as “covered persons”. These steps are taken to satisfy legal obligations and are not a judgment on your work as researchers.

We understand these changes may affect ongoing research. PhysioNet is committed to supporting your efforts to understand the policy and explore compliant access options.

Further information

• DOJ DSP Compliance Guide and FAQs: https://www.justice.gov/opa/media/1396351/dl
• NIH Notice NOT‑OD‑25‑083, which imposes similar NIH-specific restrictions: https://grants.nih.gov/grants/guide/notice-files/NOT-OD-25-083.html

We have received inquiries about the use of credentialed and restricted data on PhysioNet, including MIMIC-III, MIMIC-IV, MIMIC-CXR, and their derivatives, with large language models (LLMs) and online services. The PhysioNet Credentialed Data Use Agreement explicitly prohibits sharing access to the data with third parties, including sending it through APIs or using it on online platforms.

Key Requirements:

• Zero Data Retention: MIMIC data must not be stored or retained by third-party LLM services.

• User Responsibility: Researchers are responsible for ensuring compliance with the Data Use Agreement.

Recommendations:

• Strongly Recommended: Use locally deployed LLMs to maintain full control over the data.

• If Using Cloud Services or APIs: Verify that the service’s settings ensure zero data retention, no use of data for model training, and no human review. Many services retain data by default. Even when services claim "zero data retention," their requirements may be insufficient due to internal processing, logging, or caching practices. Regularly review platform policies, as they may change without notice. If a service’s data handling practices are unclear or cannot be fully verified, do not use the service.

Important Disclaimer: PhysioNet cannot verify the data practices of external services and does not endorse or recommend specific platforms.

The National Institutes of Health (NIH) is seeking applications for the position of Director, National Institute of General Medical Sciences (NIGMS). The Director, NIGMS, provides leadership, and administers, fosters, and supports research in the basic and general medical sciences and in related natural or behavioral sciences. The Director develops Institute goals, priorities, policies, and program activities, and keeps the Director, NIH, abreast of NIGMS developments, accomplishments, and needs as they relate to the overall mission of the NIH. In exercising the Director’s responsibilities for program planning, implementation and evaluation, the incumbent works with and seeks the advice of a wide range of groups within the scientific community including investigators, institutions, scientific societies, and relevant commercial organizations. 

The Director is responsible for managing a high-level, complex organization and serving as the chief visionary for the Institute. The Director actively engages others to create a shared vision of the purpose and direction of the organization and works collaboratively within the Institute, across the NIH, and with external entities to generate, gain commitment for, and accomplish NIGMS goals. The Director must demonstrate a keen awareness of the workings of the public sector and successfully navigate with that environment to promote and reach NIGMS and NIH objectives.

The position is open for application from Friday, November 7, 2025 – Friday, December 12, 2025 [updated].  Additional information on the position and the application process can be found here: Director, National Institute of General Medical Sciences | Office of Human Resources

The George B. Moody PhysioNet Challenge 2026 is officially underway. The 2026 Challenge invites teams to develop algorithms for using polysomnograms (PSGs) to predict cognitive impairment from sleep studies.

Sleep is a fundamental physiological process that is deeply intertwined with human health. Traditionally, clinicians use sleep studies to diagnose obstructive sleep apnea, insomnia, and other sleep disorders. However, sleep studies can also reveal other chronic conditions that cause, are caused by, or are correlated with physiological changes in sleep. These findings can provide context to sleep disorders and inform the early diagnosis and treatment of other health conditions.

We have shared multicenter Challenge training data containing EEG, ECG, and other physiological signals and algorithmic and human sleep annotations as well as an example Challenge entry that you can use as a template for your entries. We will open the scoring system in the coming days.

Please see the Challenge website for the data, code, and  more information, rules, and deadlines: https://moody-challenge.physionet.org/2026/.

As in previous years, we have divided the Challenge into two phases: an unofficial phase and an official phase. The unofficial phase solicits feedback from the research community (i.e., you) to help us improve the Challenge for the official phase, so we require teams to register and participate in the unofficial phase of the Challenge for prize eligibility. Please enter early and often – we need you to look for quirks in our data, our scoring system, and otherwise. We are imperfect (and bandwidth-limited), so please send us comments, issues, and suggestions via the  Challenge forum (see below). We rely on the community to help us to improve the quality of the Challenge each year.

The culmination of the Challenge will be in Spain at the annual meeting of Computing in Cardiology, where we will present prizes at the closing ceremony.

We will post more information on the PhysioNet Challenge website and Challenge forum as it becomes available, or when your input helps us modify the boundaries and content of the Challenge. You may (and should) post questions and comments onthe Challenge forum. However, if your question reveals information about your entry, then please email info [at] physionetchallenge.org instead to help ensure each entry is as independent as possible (*). 

We thank you for your continued interest and support, and we hope that you enjoy the 2026 Challenge! 

https://PhysioNetChallenges.org/
https://PhysioNet.org/

[* The info [at] physionetchallenge.org address is monitored by a team. We will not answer emails about the Challenge which are sent to individual organizers of the Challenge (or any other part of the PhysioNet Resource) or any affiliated events (such as Computing in Cardiology). We may share parts of our replies publicly if we feel that all Challengers should benefit from the information contained in our responses.]