PHM Virtual Brown Bag Series
Population Health Management Framework Webinars
Population Health Alliance (PHA) members will present their work and research in a new webinar series, PHM Virtual Brown Bag Series, that will offer guidance and clarity on the core components of the Population Health Management (PHM) framework.
The webinar series will kick off on Thursday, January 22, at 12 Noon Eastern Time, with an introductory overview of the PHM framework. It will run every other Thursday at the same time. These complimentary webinars provide a unique opportunity for PHA members to showcase their strengths in the areas of identification, assessment, stratification, engagement, interventions, and evaluation. In addition, customers of PHA members and the industry as a whole will benefit from the basic level discussion.
How to Present?
All PHA members interested in presenting one or more of the following topics should submit:
- A 300-word (maximum) summary of the presentation
- Name of organization
- Name, Title, 150 words bio and photo of the Presenter(s)
- Preferred date (Note dates below)
Deadline for Applications
Applications will be accepted on a rolling basis, and will be reviewed and approved on the first business day of the month, for the following month. Presenters will be notified shortly after.
Population Monitoring/Identification: Identification refers to the process whereby claims data are used to identify conditions or therapies (or gaps in therapies) in a targeted population. The targeted population is first identified through demographic or other criteria (not claims-related) and then the condition and/or treatment criteria are applied. Condition and treatment identification is derived principally from claims data (may be augmented by self-reported data).
Health Assessment: Health often is assessed using questionnaires to gather respondents’ self-reported information about current health behaviors, status regarding recommended screening and preventive services, safety precautions and other potential health risks. Other sources of health risk information can include medical claims and pharmacy data and data on lab results for recommended tests, but this list is by no means a comprehensive list of possible health assessment approaches.
Risk Stratification: Using information collected in health assessments, predictive modeling stratifies individuals into meaningful categories for personalized intervention targeting. Some organizations use complicated and proprietary mathematical algorithms while others use a simple count of risks to classify individuals. Whatever the process, it is important for population health management to include some type of stratification to help align individuals with appropriate intervention approaches and maximize the impact of the program.
Engagement Strategies: Once individuals in a population are identified and stratified, PHM programs should utilize proactive strategies to enroll and engage participants in the program. PHM continues to seek out and introduce new modes of recruitment and engagement: communication personalized to individual preferences, novel incentive structures that leverage behavioral economic principles, and contact-level reporting to show all interactions with participating individuals leading to reported outcomes.
Interventions: Interventions can come in a variety of shapes and sizes along the health continuum (no/low risk to high risk). Health management interventions can include health promotion, wellness, or preventive services; health risk management; care coordination/advocacy; and disease/case management programs. Organizational interventions should be designed to create a supportive environmental and organizational culture.
Impact Evaluation: The final essential element of the PHM framework includes program outcomes. A program can only be successful if it effectively touches a significant number of people in the population, and it is most likely to succeed if it is operating efficiently. Tracking these process-related outcomes is critical to a successful program.