Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference

• Main Authors: Badawi, Omar (Author), Brennan, Thomas Patrick (Contributor), Celi, Leo Anthony G. (Contributor), Feng, Mengling (Contributor), Ghassemi, Marzyeh (Contributor), Ippolito, Andrea (Author), Johnson, Alistair (Author), Mayaud, Louis (Author), Moody, George B. (Author), Moses, Christopher (Author), Naumann, Tristan Josef (Author), Nikore, Vipan (Author), Pimentel, Marco (Author), Pollard, Tom J. (Author), Santos, Mauro (Author), Stone, David J. (Author), Zimolzak, Andrew (Author), Mark, Roger G (Author)
• Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Mark, Roger Greenwood (Contributor), Naumann, Tristan (Contributor)
• Format: Article
• Language: English
• Published: JMIR Publications, 2015-01-23T16:17:03Z.
• Subjects: Article
• Online Access: Get fulltext

 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.