Chief Data Scientist (aka “Mad Scientist”)
Richard Lieberman is one of the nation’s leading strategic experts on population health analytics, quality improvement strategies, financial modeling, performance measurement, and risk adjustment in the managed care industry. Since 1991, he has been active in the design and implementation of quality measurement systems, risk adjustment models, and risk-adjusted payment systems for all lines of business. These strategic insights are coupled with detailed operational knowledge of risk adjustment revenue optimization strategies, quality measurement/quality improvement activities, provider profiling, provider reimbursement strategies, and information systems design. Mr. Lieberman’s biggest professional satisfaction comes from finding effective solutions requiring the application of analytical methods utilizing very large administrative and clinical databases.
Mr. Lieberman has extensive experience in performing, applying, and interpreting predictive analytics. Leveraging his extensive clinical background as a coordinator of clinical trials, critical care technician, emergency department technician, and advanced life support paramedic, he builds clinically-oriented deterministic or probabilistic models relying on claims, pharmacy and clinical laboratory result data. His statistical modeling approaches usually rely on ordinary least squares regression, logistic regression, and propensity score matching. His clinical background enables him to discuss and explain complex health care financing topics and regulatory schemes directly to clinicians. Harnessing his training in public policy analysis and health services research, he is able to synthesize legal jurisprudence, clinical literature, theoretical texts, and modern public policy development into forms that can be communicated to clinicians and business leaders.
As a “data scientist” who writes algorithms and code to traverse very large amounts of data, Mr. Lieberman subsequently serves as an “artist-explorer” navigating content and synthesizing findings. With 20 plus years of information technology experience as an applications programmer, data warehouse designer, and business intelligence system developer, he is able to produce unique analytical work products as well as to direct the work of other analysts and programmers.
He has been the voice of health care reform informing managed care plans to promote a variety of integration strategies, including but not limited to: 1) payer-provider collaboration efforts centered around education and engagement; 2) meaningful population health analytics that accurately measure cost of efficiently provided care; 3) the need for issuer focus on product integration across lines of business (e.g., Medicaid and individual/small-group); and 4) the integration of quality improvement and risk score optimization strategies. As a thought-leader on quality measurement and performance improvement strategies for plans seeking to maximize their quality measurement ratings, he is invited regularly to present insights to participants at industry conferences and webinars.