Mathematica-mpr.com is now Mathematica.org. Please update your bookmarks. Learn more about this change.
- Data science solutions
- Value-based payments
- Bundled payments
- Quality measurement and reporting
- Risk-adjustment models
- Medicaid and CHIP
Alex Bohl specializes in supporting and deploying data science solutions in the areas of predictive analytics, natural language processing, and interactive applications to a variety of federal, state, and nongovernment clients. He has particular expertise with bundled payments implementation and monitoring; hospital- and area-level quality indicators; Medicaid long-term services and supports; quality measure risk adjustment, smoothing, and compositing; federal pay-for-performance programs; and Medicare and Medicaid claims and encounter data. As director of data science, Bohl is responsible for overseeing staff, solutions, and standards on projects, proposals, and business development efforts relating to data science and statistical approaches.
Bohl currently directs the implementation of the Comprehensive Care for Joint Replacement (CJR) payment reconciliation contract for the Center for Medicare & Medicaid Innovation (CMMI); he led the startup and design of a separate CMMI contract to monitor the performance and compliance of hospitals participating in the CJR model. He also directs the hospital-level quality indicators analysis and support contract for the Agency for Healthcare Research and Quality (AHRQ), expanding upon prior contracts he directed with the AHRQ focused on recalibrating the patient safety indicators for use in Centers for Medicare & Medicaid Services (CMS) payment programs. He led cost analysis for the Money Follows the Person evaluation for CMS and has worked on projects related to Medicaid long-term services and support cost, utilization, quality of care, and risk-adjustment for the Medicaid and CHIP Payment and Access Commission and the West Health Foundation.
Before joining Mathematica in 2011, Bohl worked on projects related to quality and process improvement at hospitals, ambulatory surgical centers, health systems, and nursing homes. He has a background in industrial and systems engineering, and he holds a Ph.D. in health services from the University of Washington, with a dissertation focused on the economic impact of population health strategies that include fall prevention targeting older adults.
Mathematica Team Named Finalist in Stage 1 of CMS Artificial Intelligence Health Outcomes Challenge
Mathematica is partnering with The Health Collaborative, the Patient Advocate Foundation, and MediaAgility on a solution leveraging artificial intelligence and other industry-leading methods to achieve a number of goals to drive primary care transformation.