TY - JOUR
T1 - The Challenges of Collecting and Using Patient Care Data From Diverse Care Systems
T2 - Lessons From COMPASS
AU - Solberg, Leif I.
AU - Ferguson, Robert
AU - Ohnsorg, Kris A.
AU - Crain, A. Lauren
AU - Williams, Mark D.
AU - Ziegenfuss, Jeanette Y.
AU - Boggs, Jennifer M.
AU - Neely, Claire
AU - Brooks, Leslie
AU - Molitor, Beth A.
AU - Monkman, Jeyn
AU - Coughlin, Meg
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This publication was made possible by the Department of Health and Human Services, Centers for Medicare & Medicaid Services [Grant Number 1C1CMS331048-01-00]. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the US Department of Health and Human Services or any of its agencies. The research presented here was conducted by the awardee. Findings might or might not be consistent with or confirmed by the independent evaluation contractor.
Publisher Copyright:
© 2016, © The Author(s) 2016.
PY - 2017/9/1
Y1 - 2017/9/1
N2 - The ability to aggregate clinical data across multiple diverse organizations and to use it for performance measurement, quality improvement, evaluation, and research is rapidly becoming a national necessity, but there are few examples of how to do that. This article uses lessons from a national effort to implement the collaborative care management model for patients with both depression and diabetes or heart disease across 8 partner organizations, 18 medical groups, and more than 170 clinics in 8 states to identify the challenges and provide experience-based recommendations for those tasks. The challenges are divided into those needed for (1) collecting similar data, (2) aggregating those data across care systems, and (3) using the data to both improve and evaluate care. Start with agreement on goals, methods, transparency, and a data system integrated into the electronic medical record while promptly addressing all the legal, regulatory, and human subject requirements.
AB - The ability to aggregate clinical data across multiple diverse organizations and to use it for performance measurement, quality improvement, evaluation, and research is rapidly becoming a national necessity, but there are few examples of how to do that. This article uses lessons from a national effort to implement the collaborative care management model for patients with both depression and diabetes or heart disease across 8 partner organizations, 18 medical groups, and more than 170 clinics in 8 states to identify the challenges and provide experience-based recommendations for those tasks. The challenges are divided into those needed for (1) collecting similar data, (2) aggregating those data across care systems, and (3) using the data to both improve and evaluate care. Start with agreement on goals, methods, transparency, and a data system integrated into the electronic medical record while promptly addressing all the legal, regulatory, and human subject requirements.
KW - cooperative behavior
KW - data collection
KW - information dissemination
KW - information systems
KW - organizational innovation
UR - http://www.scopus.com/inward/record.url?scp=85028608942&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028608942&partnerID=8YFLogxK
U2 - 10.1177/1062860616674272
DO - 10.1177/1062860616674272
M3 - Article
C2 - 28862026
AN - SCOPUS:85028608942
SN - 1062-8606
VL - 32
SP - 494
EP - 499
JO - American Journal of Medical Quality
JF - American Journal of Medical Quality
IS - 5
ER -