Connected Care Management: Do Mathematical Risk Predictors Trump Provider Intuition?

Dr. Luke HansenEven when employing sophisticated predictive analytics to zero in on population health risk, healthcare organizations shouldn’t discount providers’ intuition, advises Luke Hansen, MD, vice president and chief medical officer, population health for AMITA Health.

With a future plan to adopt a risk prediction tool, AMITA currently creates chronic illness registries to track its high-cost patients. Listen as Dr. Hansen discusses the tradeoffs of mathematically intense risk predictors versus physicians’ guts.

During an August 2016 webinar, Reducing Readmissions and Avoidable Emergency Department Visits Through a Connected Care Management Strategy, now available for replay, Dr. Hansen and Susan Wickey, AMITA Health vice president, quality and care management, share the key components of AMITA Health’s care management process, how the various care management teams work together and the impact the program is having on healthcare costs and utilization.


Length: 3:04 minutes

Health Risk Assessments: Administration, Delivery and Completion Benchmarks

Who’s using health risk assessments (HRAs), and how are they administered? What are the top incentives driving HRA completion, and what are the top three uses for HRA data? What completion rates can be expected?

In this month’s healthcare benchmarks podcast, Healthcare Intelligence Network executive VP and COO Melanie Matthews shares the latest market research on HRA use. This month’s metrics are derived from HIN’s June 2010 survey on HRAs, with commentary from Dr. Marcia Wade, Aetna Medicare’s senior medical director.

More actionable data on ways that 116 healthcare organizations are using HRAs is contained in 2010 Performance Benchmarks in Health Risk Assessment Use, a 60-page resource providing metrics and measures on current and planned HRA initiatives as well as lessons learned and results from successful health assessment programs.




Length: 3:01 minutes

Assessing and Predicting Health Risk in the Elderly

Even though more than a third of the elderly are online, they’re not necessarily using the Internet to seek health assistance, explains Marcia Wade, M.D., F.C.C.P., M.M.M., senior medical director at Aetna Medicare. That’s why Aetna delivers its health risk assessment for the elderly in an alternate format while making available other Web-based tools to web-savvy boomer beneficiaries. Dr. Wade also describes Aetna’s user-friendly strategy for heading off high-risk complications among its elderly and how this contributes to an overall reduction in hospital readmissions.

Dr. Wade will explain what to assess in the elderly population, how to match interventions based on risk score and the impact of this type of initiative during Assessing and Predicting Health Risk in the Elderly, a 45-minute webinar on February 10, 2010.


Length: 3:06 minutes

Patient Activation Measure™: Assessing the Engaged Healthcare Consumer for Self-Efficacy

There are many ways to administer the Patient Activation Measure™ (PAM) and many socioeconomic factors that influence its outcomes, explains Dr. Judith Hibbard, developer of the PAM and professor of health policy at the University of Oregon. Dr. Hibbard identifies the PAM scores that signal a behavior change and the value of adding patient activation assessment to a health improvement initiative.




Dr. Judith Hibbard




Diane Bellard
Dr. Hibbard and Bellard shared the research behind the development of the PAM, its potential for improving a patient’s healthcare self-efficacy and examples of its use in a DM setting during the June 18, 2009 webinar, Patient Activation Measure™: Assessing the Engaged Healthcare Consumer for Self-Efficacy.