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

Tools, Programs and Algorithms (275) Natural Language Processing (706) Electronic Health Records (1068)

Published on in Vol 5, No 3 (2017): Jul-Sept

Optimizing the Use of Electronic Health Records to Identify High-Risk Psychosocial Determinants of Health

Optimizing the Use of Electronic Health Records to Identify High-Risk Psychosocial Determinants of Health

Optimizing the Use of Electronic Health Records to Identify High-Risk Psychosocial Determinants of Health

Authors of this article:

Nicolas Michel Oreskovic1, 2 Author Orcid Image ;   Jennifer Maniates3 Author Orcid Image ;   Jeffrey Weilburg2, 4 Author Orcid Image ;   Garry Choy2, 5 Author Orcid Image
Article Authors Cited by (21) Tweetations (7) Metrics

Nicolas Michel Oreskovic   1, 2 , MPH, MD ;   Jennifer Maniates   3 , MA ;   Jeffrey Weilburg   2, 4 , MD ;   Garry Choy   2, 5 , MD

1 Internal Medicine and Pediatrics, Massachusetts General Hospital, Boston, MA, United States

2 Brigham & Women's Hospital, Boston, MA, United States

3 Integrated Care Management Program, Massachusetts General Hospital, Boston, MA, United States

4 Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States

5 Department of Radiology, Massachusetts General Hospital, Boston, MA, United States

Corresponding Author:

  • Nicolas Michel Oreskovic, MPH, MD
  • Internal Medicine and Pediatrics
  • Massachusetts General Hospital
  • 125 Nashua Street
  • Boston, MA, 02114
  • United States
  • Phone: 1 617-726-0593
  • Email: noreskovic@mgh.harvard.edu