Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference
Name
Mark_Making big data.pdf
Size
9.02 MB
Format
Adobe PDF
Checksum (MD5)
805652d6c5720eca41affb3b613f04a7
Author(s)
Badawi, Omar
Brennan, Thomas Patrick
Celi, Leo Anthony G.
Feng, Mengling
Ghassemi, Marzyeh
Ippolito, Andrea
Johnson, Alistair
Mayaud, Louis
Moody, George B.
Moses, Christopher
Date Issued
August 2014
Journal
JMIR Medical Informatics
Publisher
JMIR Publications
Citation
Badawi, Omar, Thomas Brennan, Leo Anthony Celi, Mengling Feng, Marzyeh Ghassemi, Andrea Ippolito, Alistair Johnson, et al. “Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference.” JMIR Medical Informatics 2, no. 2 (2014): e22.
Version
Final published version
Abstract
With growing concerns that big data will only augment the problem of unreliable research, the Laboratory of Computational Physiology at the Massachusetts Institute of Technology organized the Critical Data Conference in January 2014. Thought leaders from academia, government, and industry across disciplines--including clinical medicine, computer science, public health, informatics, biomedical research, health technology, statistics, and epidemiology--gathered and discussed the pitfalls and challenges of big data in health care. The key message from the conference is that the value of large amounts of data hinges on the ability of researchers to share data, methodologies, and findings in an open setting. If empirical value is to be from the analysis of retrospective data, groups must continuously work together on similar problems to create more effective peer review. This will lead to improvement in methodology and quality, with each iteration of analysis resulting in more reliability.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.2196/medinform.3447
