Mr. Albert Kusi-Appiah
Albert Kusi-Appiah is a Data Scientist at IMPAQ with extensive experience in quantitative health services research. He has modeled the Medicare Outpatient prospective payment system (OPPS) and the Inpatient prospective payment system (IPPS) methodologies. Albert also has experience analyzing Medicare and other health datasets and applying the results in solving public policy issues.
Albert is an accomplished analyst with a solid background in statistics and Mathematics and has over 10 years of experience in conducting data analyses using various analytical platforms including: SAS, SAS EG, R, SPSS, SPSS Modeler, PostgreSQL, HiveSQL, Python and Spark. Albert has worked in the CMS program integrity space, where he developed statistical models to find fraud, waste, and abuse using Medicare claims data of over 500 million records from the integrated data repository (IDR). Albert has a background in public policy, specifically in conducting analysis to evaluate the effect of changes to CMS prospective payment systems.
Albert has worked with a wide range of clients including Pennsylvania Medicaid, New Jersey Medicaid, Centers for Medicare and Medicaid Service (CMS), Administration for Community Living (ACL), Physician societies and Pharmaceutical and Manufacturing companies.
Before joining IMPAQ, Albert was a Senior Data Analyst at Mcdermottplus consulting, where he analyzed quantitative data, both Medicare and commercial claims, to support the formulation and implementation of legislative, regulatory and reimbursement strategies for health services providers and medical product manufactures. He developed SAS programs to replicate and simulate alternative payment methods for both CMS inpatient and outpatient prospective payment systems using CMS claims data. Albert held a position as a statistician at Integrity Management, where he worked with CMS program integrity to develop models for fraud prevention system 2 (FPS2) using the IDR.
Albert has a master’s degree in Biostatistics from George Mason’s Volgenau School of Engineering.