Decision Analysis for Metric Selection on a Clinical Quality Scorecard

Rebecca M. Guth, Patricia E. Storey, Michael Vitale, Sumita Markan-Aurora, Randolph Gordon, Traci Q. Prevost, Wm Claiborne Dunagan, Keith F. Woeltje

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Clinical quality scorecards are used by health care institutions to monitor clinical performance and drive quality improvement. Because of the rapid proliferation of quality metrics in health care, BJC HealthCare found it increasingly difficult to select the most impactful scorecard metrics while still monitoring metrics for regulatory purposes. A 7-step measure selection process was implemented incorporating Kepner-Tregoe Decision Analysis, which is a systematic process that considers key criteria that must be satisfied in order to make the best decision. The decision analysis process evaluates what metrics will most appropriately fulfill these criteria, as well as identifies potential risks associated with a particular metric in order to identify threats to its implementation. Using this process, a list of 750 potential metrics was narrowed to 25 that were selected for scorecard inclusion. This decision analysis process created a more transparent, reproducible approach for selecting quality metrics for clinical quality scorecards.

Original languageEnglish
Pages (from-to)400-407
Number of pages8
JournalAmerican Journal of Medical Quality
Issue number5
StatePublished - Sep 1 2016


  • clinical quality
  • decision analysis
  • quality metrics
  • scorecards


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