Webinar
Data to Drive Decisions: Shifting from Fee-for-Service in Colorado: The Primary Care Collaborative and Alternative Payment Models
WebinarJoin us July 21st, 12-1pm MST, as CIVHC, Collaborative members, Colorado Division of Insurance and Legislators provide an overview of Alternative Payment Models (APMs) in Colorado, challenges and successes, and recent APM legislation.
Data to Drive Decisions: Using Data to Understand Physician Practices and Optimize Patient Outcomes
WebinarJoin us June 23rd, 12-1pm MST, to learn how Change Agents Icon Health and NORC at the University of Chicago are using data to understand physician practices in Colorado and improve patient outcomes specific to orthopedic care.
Data to Drive Decisions: Updated Shop for Care and Consumer Billing Resources
WebinarJoin CIVHC and the Colorado Consumer Health Initiative (CCHI) on January 20th from 12-1pm MT to learn about new resources available to consumers utilizing health care services. Participants will learn how to use the updated Shop for Care tool to access high value providers, and learn about resources available to Read more…
Data to Drive Decisions Webinar Series: Investigating How Health Systems Survived COVID-19
WebinarCIVHC is excited to announce a presentation update for this months webinar, "Investigating How Health Systems Survived COVID-19", which will feature David Cutler, Professor of Economics at Harvard and Kaushik Ghosh, Research Specialist at the National Bureau of Economic Research. The speakers will present research on changes in morbidity/mortality and Read more…
Data to Drive Decisions Webinar: Better Through Benchmarking: Local and National Data to Help Communities Improve Health and Lower Costs
WebinarImproving the lives of Coloradans is most effective when equipped with information to understand what’s driving disparities in health care cost, quality, access and utilization. Join our October webinar to learn about new statewide resources available for counties and regions including: • Follow up care after ED visits for mental Read more…
Data to Drive Decisions: Efforts to Transform the Way Care Is Delivered and Paid for in Colorado: Medicare Reference Based Pricing and Data to Support Employer Alliances
WebinarAll of us, no matter our role in the system, have a part to play in lowering health care costs and improving care. Lasting change is possible when grounded in a foundation built from evidence-based best practices and data driven decisions. Through meaningful, accessible, and relatable presentations of data and Read more…
Data to Drive Decisions: Improving Population Health – Low Value Care in Colorado and County/DOI-Specific Metrics in the Community Dashboard
WebinarAll of us, no matter our role in the system, have a part to play in lowering health care costs and improving care. Lasting change is possible when grounded in a foundation built from evidence-based best practices and data driven decisions. Through meaningful, accessible, and relatable presentations of data and Read more…
Data to Drive Decisions: Resources to Chart COVID’s Impact in Colorado
WebinarIt is nearly impossible to understate the impact of COVID-19 on every facet of life in Colorado. In this webinar, CIVHC will look at three COVID-related analyses that helped inform different aspects of the pandemic as everyone worked together to predict the impact, minimize the risks, and continue to serve Read more…
Mental Health as a Risk Factor for COVID-19: A Population Health Assessment of the Pandemic (PART I: Initial Findings)
WebinarThe Population Health Impact Institute (PHII)™ announces a complimentary webinar, which will highlight how mental health conditions can increase the likelihood of COVID-19 infections. This innovative research study used Trajectory® Healthcare’s epidemiological-based AI software using the Colorado All Payer Claims Data Base to track how co-morbidities impact the likelihood of Read more…
Project Angel Heart In-Depth Webinar
WebinarJoin us for an in-depth discussion of Project Angel Heart's recent study that used CO APCD data to examine the cost patterns of their clients prior to service, during service, and post- service, as well as compare cost and utilization to that of a control group using claims data.