Annapureddy, Amarnath R. http://orcid.org/0000-0002-9732-4903
Angraal, Suveen
Caraballo, Cesar http://orcid.org/0000-0002-4557-9437
Grimshaw, Alyssa http://orcid.org/0000-0003-3985-0056
Huang, Chenxi
Mortazavi, Bobak J.
Krumholz, Harlan M. http://orcid.org/0000-0003-2046-127X
Article History
Received: 7 August 2019
Accepted: 3 December 2019
First Online: 31 January 2020
Competing interests
: H.M.K. works under contract with the Centers for Medicare & Medicaid Services to support quality measurement programs; was a recipient of a research grant, through Yale, from Medtronic and the U.S. Food and Drug Administration to develop methods for post-market surveillance of medical devices; was a recipient of a research grant with Medtronic and is the recipient of a research grant from Johnson & Johnson, through Yale University, to support clinical trial data sharing; was a recipient of a research agreement, through Yale University, from the Shenzhen Center for Health Information for work to advance intelligent disease prevention and health promotion; collaborates with the National Center for Cardiovascular Diseases in Beijing; receives payment from the Arnold & Porter Law Firm for work related to the Sanofi clopidogrel litigation, from the Ben C. Martin Law Firm for work related to the Cook Celect IVC filter litigation, and from the Siegfried and Jensen Law Firm for work related to Vioxx litigation; chairs a Cardiac Scientific Advisory Board for UnitedHealth; was a participant/participant representative of the IBM Watson Health Life Sciences Board; is a member of the Advisory Board for Element Science, the Advisory Board for Facebook, and the Physician Advisory Board for Aetna; and is the co-founder of HugoHealth, a personal health information platform, and co-founder of Refactor Health, an enterprise healthcare AI-augmented data management company. Bobak Mortazavi is supported in part by the Center for Remote Health Technologies and Systems and Texas A&M University, as well as awards 1R01EB028106-01 and 1R21EB028486-01 from the National Institute for Biomedical Imaging and Bioengineering (NIBIB) for work employing machine learning on health data; received a patent US10201746B1; a patent to US20180315507A1 is pending. The other authors have no relevant disclosures.