Case Analysis of Vhs's Nsqip Program

Only available on StudyMode
  • Download(s) : 158
  • Published : May 26, 2013
Open Document
Text Preview
VHS’s NSQIP Program
Sherri Kerr
DeVry University
MIS-566N-11294 Informatics and Application Systems in Healthcare. May 2013

VHA’s Approach to its NSQIP Program
During the 1980s, the Department of Veterans Affairs (VA) received significant public scrutiny over the quality of surgical care in their hospitals. This motivated Congress to mandate reporting of surgical outcomes annually and led to the important National VA Surgical Risk Study (NVASRS) across 44 VA medical centers (Fuchshuber, P., Greif, W., Tidman, C., Klemm, M., Frydel, C., Wali, A., Rosas, E. & Clopp, M., 2012). The Veterans Health Administration (VHA) adopted the National Surgical Quality Improvement Program (NSQIP) because senior surgeons realized they needed improvement as they were seeing surgery complications such as infections, blood clots or respiratory failure. It is a known fact that postoperative complications can increase death rates, longer hospital stays and increase the cost of care itself. Having the surgeons on board was a great opportunity to encourage the change in a positive mannerism when it was time to roll out the mandated changes. They studied data in order to determine the efficacy of surgical procedures from the pre-operative- through 30-day post-operative periods (Ball, Weaver, & Kiel, 2004, p. 277). This study was intended to improve the quality of care provided to patients throughout the Veterans Administration Medical Centers (VAMC) nationwide during the operative periods stated above by utilizing the National VA Surgical Risk Study (2012). Benchmark Standards Established

The NSQIP was created by the VHA to extend the methods and reporting developed in the National VA Surgical Risk Study (NVASRS). The benchmark was established by looking at areas that needed improvement and to increase surgical outcomes (Pope & Russell). Their aim was to develop and validate risk-adjustment models to predict surgical outcome, and for comparative assessment of...
tracking img