The Challenges of Collecting and Using Patient Care Data From Diverse Care Systems: Lessons From COMPASS
| Autor: | Jennifer M. Boggs, Mark D. Williams, Meg Coughlin, Kris A. Ohnsorg, Jeanette Y. Ziegenfuss, A. Lauren Crain, Leslie Brooks, Leif I. Solberg, Jeyn Monkman, Beth A. Molitor, Claire Neely, Robert J. Ferguson |
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| Rok vydání: | 2016 |
| Předmět: |
Quality management
Knowledge management Heart Diseases Quality Assurance Health Care Information Dissemination Collaborative Care 01 natural sciences Diabetes Complications 03 medical and health sciences 0302 clinical medicine Nursing Compass Information system Electronic Health Records Humans Medicine Performance measurement 030212 general & internal medicine 0101 mathematics Data collection Depression business.industry Data Collection Health Policy 010102 general mathematics Quality Improvement Transparency (behavior) Models Organizational Patient Care business Delivery of Health Care |
| Zdroj: | American Journal of Medical Quality. 32:494-499 |
| ISSN: | 1555-824X 1062-8606 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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