This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2461) Clinical Informatics (1050) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520)

Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18707, first published .
Agile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform

Agile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform

Agile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform

Authors of this article:

Wade L Schulz1, 2 Author Orcid Image ;   Thomas J S Durant1, 2 Author Orcid Image ;   Charles J Torre Jr1, 3 Author Orcid Image ;   Allen L Hsiao3, 4 Author Orcid Image ;   Harlan M Krumholz2, 5, 6 Author Orcid Image
Article Authors Cited by (18) Tweetations (4) Metrics

Wade L Schulz   1, 2 , MD, PhD ;   Thomas J S Durant   1, 2 , MD ;   Charles J Torre Jr   1, 3 , MS ;   Allen L Hsiao   3, 4 , MD ;   Harlan M Krumholz   2, 5, 6 , SM, MD

1 Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, United States

2 Center for Outcomes Research & Evaluation, Yale New Haven Hospital, New Haven, CT, United States

3 Information Technology Services, Yale New Haven Health, New Haven, CT, United States

4 Department of Pediatrics, Yale School of Medicine, New Haven, CT, United States

5 Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States

6 Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, United States

Corresponding Author:

  • Wade L Schulz, MD, PhD
  • Department of Laboratory Medicine
  • Yale School of Medicine
  • 55 Park St, PS215
  • New Haven, CT, 06511
  • United States
  • Phone: 1 (203) 688-2286
  • Email: wade.schulz@yale.edu