A Novel Electronic Medical Record-Based Workflow to Measure and Report Colonoscopy Quality Measures

作者：Leiman David A; Metz David C; Gin**erg Gregory G; Howell J T; Mehta Shivan J; Ahmad Nuzhat A^*

来源：Clinical Gastroenterology and Hepatology, 2016, 14(3): 333-+.

DOI：10.1016/j.cgh.2015.12.001

When I was in private practice, pulling adenoma detection rates (ADRs) by physician was easy. In 2007, we developed a method to calculate ADRs, which was a bit cumbersome but effective, and we began tracking them by physician. We provided every partner with his or her ADR as part of a package of quarterly performance metrics. By 2009, we had incorporated endoscopy and pathology into our electronic medical record (EMR) so ADR analysis became automatic. This allowed us to begin publishing our results on our website and ultimately in peer-reviewed journals (Clin Gastroenterol Hepatol 2009; 7:1335-1340 and Gastroenterology 2015; 149:952-957). I then moved to an academic medical center where the enterprise-wide EMR (Epic) did not interface with either our endoscopy reporting software or pathology results, and all hope of routine ADR measurement vanished. Everyone working in similar situations can relate to my frustration. In this month's Road Ahead column, Leiman and colleagues provide a straightforward method to extract ADRs from an Epic EMR. While this still requires physician input, it helps those of us in large health systems measure what is important in our ongoing efforts to reduce the incidence of colon cancer.

• 出版日期2016-3