A Multidisciplinary Three-Phase Approach to Improve the Clinical Utility of Patient Safety Indicators. Issue 2 (April 2015)

• Record Type: Journal Article
• Authors: Najjar, Peter; Kachalia, Allen; Sutherland, Tori; Beloff, Jennifer; David-Kasdan, Jo Ann; Bates, David W.; Urman, Richard D.
• Is Part Of: Quality management in health care. Volume 24:Issue 2(2015)
• Publication Date: 2015-04
• Subjects: coding -- complications -- interdisciplinary -- Patient Safety Indicators -- quality improvement; Medical care -- Quality control -- Periodicals; Total quality management -- Periodicals; Health services administration -- Periodicals; 362.1068
• DOI: 10.1097/QMH.0000000000000057
• Languages: English
• ISSNs: 1063-8628

Abstract

Abstract : Purpose: The AHRQ Patient Safety Indicators (PSIs) are used for calculation of risk-adjusted postoperative rates for adverse events. The payers and quality consortiums are increasingly requiring public reporting of hospital performance on these metrics. We discuss processes designed to improve the accuracy and clinical utility of PSI reporting in practice. Methods: The study was conducted at a 793-bed tertiary care academic medical center where PSI processes have been aggressively implemented to track patient safety events at discharge. A three-phased approach to improving administrative data quality was implemented. The initiative consisted of clinical review of all PSIs, documentation improvement, and provider outreach including active querying for patient safety events. Results: This multidisciplinary effort to develop a streamlined process for PSI calculation reduced the reporting of miscoded PSIs and increased the clinical utility of PSI monitoring. Over 4 quarters, 4 of 41 (10%) PSI-11 and 9 of 138 (7%) PSI-15 errors were identified on review of clinical documentation and appropriate adjustments were made. Conclusion: A multidisciplinary, phased approach leveraging existing billing infrastructure for robust metric coding, ongoing clinical review, and frontline provider outreach is a novel and effective way to reduce the reporting of false-positive outcomes and improve the clinical utility of PSIs.