The Challenges of Collecting and Using Patient Care Data From Diverse Care Systems: Lessons From COMPASS

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 effo...

Full description

Saved in:

Bibliographic Details
Published in:	American journal of medical quality Vol. 32; no. 5; pp. 494 - 499
Main Authors:	Solberg, Leif I., Ferguson, Robert, Ohnsorg, Kris A., Crain, A. Lauren, Williams, Mark D., Ziegenfuss, Jeanette Y., Boggs, Jennifer M., Neely, Claire, Brooks, Leslie, Molitor, Beth A., Monkman, Jeyn, Coughlin, Meg
Format:	Journal Article
Language:	English
Published:	Los Angeles, CA SAGE Publications 01-09-2017
Subjects:	Data Collection - methods Delivery of Health Care - organization & administration Delivery of Health Care - statistics & numerical data Depression - therapy Diabetes Complications - therapy Electronic Health Records Heart Diseases - therapy Humans Models, Organizational Patient Care - methods Patient Care - statistics & numerical data Quality Assurance, Health Care - methods Quality Assurance, Health Care - statistics & numerical data Quality Improvement - organization & administration Quality Improvement - statistics & numerical data organizational innovation information systems information dissemination data collection cooperative behavior
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	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.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1062-8606 1555-824X
DOI:	10.1177/1062860616674272