Tag: exceptional risk
Jacob V. Spertus, Sharon-Lise T. Normand, Robert Wolf, Matt Cioffi, Ann Lovett and Sherri Rose. Although risk adjustment remains a cornerstone for comparing outcomes across hospitals, optimal strategies continue to evolve in the presence of many confounders. We compared conventional regression-based model to approaches particularly suited to leveraging big data.
The Mass-DAC exceptional risk criteria were developed by a committee of Massachusetts interventionalists to identify patients who were considered to have an exceptionally high risk of mortality that could not be adequately identified using clinical elements collected in the ACC-NCDR data collection tool or included in the Mass-DAC criteria for compassionate use.