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 Charité Universitätsmedizin 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.
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.
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.
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.
2017.HST.953: COLLABORATIVE DATA SCIENCE IN MEDICINE HST.953: Collaborative Data Science in Medicine, focuses on the secondary analysis of clinical data that is routinely collected in the process of care. In this 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. Three of the 15 papers from last fall are already being reviewed by various clinical journals, while the rest are on track for submission over the next few months.
Datathon 2015 This weekend long (September 25-27) event brings together clinicians, data scientists and innovators in healthcare to address current problems in intensive care. The increasing wealth of patient data available through electronic health records has created a surge in research funding and industry interest in health data analytics. Challenges in extracting knowledge from health record databases, however, are significant. The event will strengthen cross-disciplinary collaboration around secondary analysis of electronic health record data, helping to pave the way for reliable knowledge to be translated into action, for the benefit of patients.
Critical Datathon Fall 2014 Our 2nd Datathon brought together frontline healthcare providers (nurses, pharmacists, doctors) with data scientists to answer clinically-relevant questions over the course of a weekend. Participants will work with a large open-access ICU database called MIMIC, a creation of a public-private partnership between the Beth Israel Deaconess Medical Center (BIDMC), MIT, and Philips Healthcare. This weekend event ran in partnership with the 41st annual international conference of Computing in Cardiology, hosted in Cambridge MA from 5-7 September, 2014
The inaugural Critical Data Marathon brought together various disciplines – computer science, medicine, nursing, pharmacy, biostatistics, epidemiology, informatics, business, health policy, and the social sciences – from both academia and industry. Watch the summary of the data marathon presented by Dr. Leo Celi at the Critical Data Conference. Stata Center, MIT, 3-5th January 2014 Check out the Google+ Site for more information. The winners of the Critical Data Marathon were: