Andrew Perlman, MPH, is Senior Analyst and SAS programmer with expertise in analyzing large healthcare datasets. Andrew occupies one of the Institute’s seats on the CMS Virtual Research Data Center where he works on a 100% sample of Medicare claims data. His recent work includes modeling ACO attribution, calculating physician group level QP scores for determining MACRA Advanced APM bonuses and benchmarking ACO performance on a wide range of measures. Prior to joining the Institute, he spent nine years as a Manager and Lead Data Analyst at Telligen overseeing analytics for the National Coordinating Center for the Quality Improvement Organization (QIO) program. In this role, he developed a broad knowledge of Medicare data, with in-depth experience in Part A and B Medicare claims and Medicare enrollment data. Andrew has worked closely with CMS and other clients to devise measurement strategies and output to best meet program needs. His work has been particularly focused on physician quality improvement, diabetes management, and care transitions. Andrew received his BS in biology from Trinity Western University and his MPH, with an emphasis in epidemiology, from the Colorado School of Public Health.