Critical Data – Empowering Big Data In Critical Care

Critical Data Activities

Empowering Big Data in Critical Care

Transforming Critical Care

In many areas of science, government and business, analyzing very large amounts of information- Big Data- has become a major driver of innovation and success. In critical care, EHRs and collaborative approaches mean we are facing our own Data Revolution.

Meaningful Use of Big Data

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.

Transforming 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 in initiated, updated, honed and enhanced by scaling the access and meaningful use of Clinical Data.

About

About

Critical data is a loose affiliation of research labs at Massachusetts Institute of Technology who are engaged in research in and around “Critical Data”, more specifically data that has a critical impact on human health.

Affiliated Research Groups

Laboratory of Computational Physiology

Laboratory of Computational Physiology

Institute for Medical Engineering & Science, MIT

The Laboratory for Computational Physiology (LCP), under the direction of Professor Roger Mark, conducts research on improving health care through new and refined approaches to interpreting data. Some of the group’s researchers have medical backgrounds; others have backgrounds in computer science, electrical engineering, physics, or mathematics; and others have training that spans several of these disciplines.

Computational Physiology and Clinical Inference Group

Research Laboratory of Electronics, MIT

The Computational Physiology and Clinical Inference Group develops and applies computational models of human physiology for clinical monitoring and inference. Our current research focuses on cardiovascular, cerebrovascular, respiratory and neurological applications.

Clinical Decision Making

Clinical Decision Making

Computer Science and Artificial Intelligence Laboratory, MIT

The Clinical Decision Making Group at the MIT Laboratory for Computer Science is a research group dedicated to exploring and furthering the application of technology and artificial intelligence to clinical situations. Because of the vital and crucial nature of medical practice, and the need for accurate and timely information to support clinical decisions, the group is also focused on the gathering, availability, security and use of medical information throughout the human “life cycle” and beyond.

Anyscale Learning for All

Anyscale Learning for All

Computer Science and Artificial Intelligence Laboratory, MIT

Scalable evolutionary algorithms, machine learning and frameworks for knowledge mining, prediction, analytics and optimization.

Pre-order Our Textbook from Springer Due October 3, 2016

Latest news

Nov, 5

Announcing the Philips-MIT Research Award for Clinicians

November 5, 2015 by Kenneth Paik

The Philips-MIT Research Awards for Clinicians Program is designed to recruit frontline clinicians – physicians, pharmacists, nurses, respiratory and other therapists – to engage in collaborative research with MIT and Philips investigators. The program will provide an opportunity for professionals to engage in original research in collaboration with experienced MIT and Philips Research Faculty. The […]
Read more Announcing the Philips-MIT Research Award for Clinicians

Jul, 30

Announcing the MIT Critical Datathon 2015!

July 30, 2015 by Kenneth Paik

The third iteration of our data marathon will be taking place September 25-27, 2015. More details forthcoming… Please RSVP by registering below. Register Now
Read more Announcing the MIT Critical Datathon 2015!
Sep, 26

Our 2014 Hakathon – Data Scientists Innovate with SAP HANA

September 26, 2014 by Abdullah Chahin

You can find the full article on the link here.
Read more Our 2014 Hakathon – Data Scientists Innovate with SAP HANA

Sep, 19

Crowdsourcing Knowledge Discovery and Innovations in Medicine

September 19, 2014 by Kenneth Paik

Read our publication in JMIR, “Crowdsourcing Knowledge Discovery and Innovations in Medicine” Leo Anthony Celi1,2*, MD, MPH, MS; Andrea Ippolito3*, MS, MEng; Robert A Montgomery4*, MD; Christopher Moses5*, BS; David J Stone6*, MD 1Institute for Medical Engineering and Science, Laboratory of Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, United States 2Beth Israel Deaconess Medical […]
Read more Crowdsourcing Knowledge Discovery and Innovations in Medicine
Sep, 8

Lecture Slides – CDM Talk

September 8, 2014 by Abdullah Chahin

This lecture was presented in the second annual critical Data Hackathon at MIT Boston on Saturday September 6, 2014, Benjamin P. Geisler, M.D., M.P.H. He spoke on Decision-analytic Modeling for Clinical and Economic Projections. You can view the slides here.
Read more Lecture Slides – CDM Talk

Sep, 8

Critical Care Data Marathon Final Results

September 8, 2014 by Abdullah Chahin

Thirteen awesome teams competed this year. Below is there presentations and the final results. Congratulations to the winning teams. Critical Care Data Marathon Final Results from John Ellenberger on Vimeo.
Read more Critical Care Data Marathon Final Results
Aug, 11

MIMIC Primer 301: Dynamic Queries

August 11, 2014 by Kenneth Paik

Mohammad Ghassemi, PhD Candidate Laboratory for Computational Physiology Institute of Medical Engineering and Science, MIT Source Files for Exercises: Dynamic Queries SQL files
Read more MIMIC Primer 301: Dynamic Queries

Aug, 4

MIMIC Primer 201: The Scope of MIMIC

August 4, 2014 by Abdullah Chahin

By: Ned McCague Data Scientist at Kyruus The MIMIC Database is quite literally one of the best databases in the world. Within it, you can find hundreds of tables and thousands of fields that pertain to specific inpatient stays within an Intensive Care Unit (ICU). With over 40,000 ICU stays, this provides an unbelievable amount […]
Read more MIMIC Primer 201: The Scope of MIMIC
Jul, 28

MIMIC Primer 101: Introduction to the MIMIC Database

July 28, 2014 by Abdullah Chahin

Mengling ‘Mornin’ Feng, Ph.D. Senior Post-doctoral Fellow Lab of Computational Physiology Harvard-MIT Joint Health, Science and Technology Massachusetts Institute of Technology (MIT)
Read more MIMIC Primer 101: Introduction to the MIMIC Database

Jul, 21

Critical Care Primer

July 21, 2014 by Damini Naidu

George Cheng M.D. PhD Harvard combined in Critical Care Training Program Massachusetts General Hospital Critical care medicine is the multidisciplinary healthcare specialty that cares for patients with acute, life-threatening illness or injury. The practice of medicine in intensive care units (North America) or intensive therapy units (UK) is known as critical care medicine. A specialist […]
Read more Critical Care Primer