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

Am J Med Qual. 2017 Sep/Oct;32(5):494-499. doi: 10.1177/1062860616674272. Epub 2016 Oct 20.

Abstract

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.

Keywords: cooperative behavior; data collection; information dissemination; information systems; organizational innovation.

MeSH terms

  • 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