Region 5

Dominic Adorno and Michael SalvatoreOptimizing Requester DeploymentOrgan DonationImpact of increase in authorization rate

Refusal largest impedimentShould we add any national data slides?National numbers?2BackgroundLiterature reviewThought leadersCase circumstancesDeath factorsPerceived quality of careRequester demographicsTiming (request, donation discussion, brain death)Location (region and hospital unit)Decoupling of death and donation

Pre-Study Era Development of Family Metrics Tool used for performance monitoring and data mining

Monthly data reviews with Manager of Family ServicesGlobal and coordinator authorization rates eligibility, ethnicity, region, hospital, etc.

Family Metrics Tool

Study DevelopmentAnecdotal evidence suggests that coordinators performance varies based on case circumstances

Create a methodology for requester deployment that utilizes historical outcomes to make staffing recommendations for future donation discussionsMachine LearningPattern recognition/ algorithm developmentRecommendation enginesAmazonAutocomplete (Google, texting)Amazon AnalogyDisparate setsExogenous factors (customers, case circumstances)Endogenous factors (products, requesters)Past relationships (purchase history, authorization outcomes)GoalMatching endogenous with exogenous to achieve best outcomesMachine Learning Contd3 years of data (2012-2014)Random Forest ModelingVariable importance chartsImpact on authorization (yes/no) FPA excluded

Machine Learning ContdTraining Data Set2 years of data (2012-2013)Pattern recognition (requesters and case circumstances)Validation Data SetProbability scoring applied to 2014 data>0.5 = Yes,