MIT Critical Data

Empowering research in critical care.

Transforming Critical Care

In many areas of science, government and business, data has become a major driver of innovation and success. We see the opportunity for the same revolution in critical care.

Meaningful use

Large amounts of data originating from critical care needs to be de-identified, analyzed and curated for it to be mined effectively. Clinicians and Data scientists must work together to understand and explore the meaningful, secondary use of Critical Care data.

Changing healthcare

Our vision is for the development of a care system consisting of Clinical Informatics without walls, in which the creation of evidence and clinical decision support tools is initiated, updated, honed and enhanced by scaling the access and meaningful use of clinical Data.

Partners

The latest from MIT Critical Data

How to Enable Medical Students and Physicians to Work with and Alongside AI Tools - A Podcast

on May 18, 2021

How to Enable Medical Students and Physicians to Work With and Alongside AI Tools - A Podcast Podcast Link Your browser does not support the audio element. Description At the Charit√© Universit√§tsmedizin Berlin (Germany), Professor Felix Balzer’s team at the Institute of Medical Informatics and Dr. David Alexander Back of the Dieter Scheffner Center for Medical Education and Educational Research, are working on a study on educational programs regarding Artificial Intelligence in medicine.

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The Role of Data in Disaster Preparedness and Response

on March 30, 2021

The Role of Data in Disaster Preparedness and Response How can data science transform how we prepare for and respond to disasters? April 28th, 10pm EST - 12am US Eastern Time (April 29th, 8am - 10am Bhutan Time) Description In this webinar, leading physicians and data science experts will discuss how can data science transform how we prepare for and respond to disasters. Register Here Sponsoring Organizations This event is hosted by MIT Critical Data, the Bhutan Institute of Happiness, the Asia eHealth Information Network, and the Global Alliance for Medical Innovation.

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2019.HST.953: Collaborative Data Science in Medicine

on August 6, 2019

HST.953: Collaborative Data Science in Medicine is a guide for students who are interested in performing retrospective research using data from electronic health records (Medical Information Mart for Intensive Care [MIMIC] database and eICU Collaborative Research Database [eICU-CRD]). The course covers steps of parsing a clinical question into a study design and methodology for data analysis and interpretation, with emphasis on the data curation process that is required before any analysis can be performed.

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2018.HST.953: Collaborative Data Science in Medicine

on July 24, 2018

Registration is Now Closed Please contact course faculty if you have any questions. 2018.HST.953: Collaborative Data Science in Medicine HST.953: Collaborative Data Science in Medicine is a course that focuses on the secondary analysis of clinical data that is routinely collected in the process of care. In this fall course, students will work with Boston-area clinicians on research projects with the goal of a publication-ready manuscript at the end of the semester.

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