Leads CareAllies' Informatics and Analytics Strategy. Oversight of the design, development, implementation, and delivery of healthcare information and analytics to integrated delivery systems, hospitals, and large physician groups for governmental products, employer products, and individual products within the domestic portfolio.

Lead a national team of 40+ provider-facing Medical Economics through a transformation into Fee-For-Value, 250+ Accountable Care Organizations, 200+ Specialty Care contracts, and various other risk arrangements with Hospital Systems. Understands, negotiates, and sets strategic direction for company-wide Total Medical Cost Trend targets for all risk arrangements. Most recent accomplishment in implementing a wholistic contracting strategy leveraging value-based contracts in lieu of traditional Fee-for-Service reimbursement.

Managed a team of Medical Economists who provide informatics consulting to internal and external physician groups and hospitals. Responsible for contract strategy, implementation, pilot, including innovative payment initiatives for value-based care, cap contracts, specialty contracts, and hospital contracts.

Developed over 80% of the reports used by Accountable Care Organizations. Regarded as Subject Matter Expert on ACO reports and methodology, Oncology opportunity reporting, Fraud and Abuse, Upcoming, Infertility rankings, physician and hospital rankings, Risk adjustment, and total medical cost measurement. Excellent at working in a highly matrixed environment of statisticans, business analysts, and Information Technology/ Delivery partners.

Lead statistician hired to research and develop methodologies and reporting for Accountable Care Organizations as part of healthcare reform. Work examples include developing patients' health risk scores, total medical cost and utilization management metrics, patient alignment/attribution to PCP algorithm, case mix adjustment and standardization, outlier analysis, trend projections, applying confidence intervals, and matched-case control studies.

Analyzed quality assurance, budget, productivity, staffing, work volume and other performance data. Developed statistical models and reports to evaluate business needs including hypothesis testing, variance reports, financial forecasting, and introductory predictive regression models.

Small company part of SPSS software. Assisted customers with statistical analysis and interpretation.