Florida Agency for Health Care Administration: Analyzing the Disease Burden of Florida Medicaid Enrollees Using Clinical Risk Groups
Denver Health: Augmenting Predictive Modeling Tools with Clinical Insights for Care Coordination Program Design and Implementation. Available at PubMed.gov
Children’s Hospital Association: Optimizing Healthcare for Children with Medical Complexity
Texas External Quality Review Organization: Potentially Preventable Readmissions in Texas Medicaid and CHIP Programs
Texas External Quality Review Organization: Potentially Preventable Complications in Texas Medicaid and CHIP Programs
Maryland Health Services Cost Review Commission: Final Recommendation for the Maryland Hospital-Acquired Conditions Program for Rate Year 2019
Population Health and Potentially Preventable Events eGuide: 3M solutions for population health, patient safety and cost-effective care
Case Study: Hospital Executive Council: Using the 3M Potentially Preventable Complications (PPC) classification methodology, the HEC identified and lowered total complications rates.
3M Clinical Risk Groups at Work in the Real World: This paper describes how healthcare organizations use 3M CRGs to accomplish a variety of goals and explains the unique characteristics that make the health risk measure so useful.
Medicaid Value-Based Care eGuide: Best practice strategies for success
Case study: CMO - Montefiore Care Management: A case study about Montefiore Care Management Organization (CMO) and its use of 3M analytics and classification methodologies to identify at-risk patients outside of its ACO population.
Population Health Management eGuide: A bridge between fee for service and value-based care
Case study: University Medical Center of El Paso: UMC El Paso uses the 3M Potentially Preventable Readmissions (PPCs) methodology to reduce readmissions.
Case study: Wheaton Franciscan Healthcare-Iowa and Wellmark Blue Cross and Blue Shield of Iowa: A case study of payer-provider collaboration to reduce total cost of care while improving quality
3M Clinical Risk Groups: Measuring risk, managing care: Overview of the 3M CRG classification methodology
Authored by 3M health economists, data scientists and clinical subject matter experts
Richard Fuller, MS, Health Economist, Clinical and Economic Research, 3M Health Information Systems
Richard Fuller with co-authors Norbert Goldfield, MD, former medical director, 3M Clinical and Economic Research, and John Hughes, MD, professor, department of medicine, Yale School of Medicine
L. Gordon Moore, MD, Senior Medical Director, Clinical Strategy and Value-based Care, 3M Health Information Systems
Steve Delaronde, Director of Consulting, Populations and Payment Solutions, 3M Health Information Systems
Paul LaBrec, Research Director, Populations and Payment Solutions, 3M Health Information Systems
Gretchen Mills, Manager, Market Strategy, Populations and Payment Solutions, 3M Health Information Systems
Michael Keyes, Client Engagement Leader, Populations and Payment Solutions, and Ryan Butterfield, Senior Researcher and Statistician, 3M Health Information Systems
Kristine Daynes, Senior Product Manager, 3M Health Information Systems
Clark Cameron, Manager, Payer Market Strategy, 3M Health Information Systems