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Plenary: Beyond Risk Stratification: Why Understanding Population Segments Is the Future of Stratification

Plenary: Beyond Risk Stratification: Why Understanding Population Segments Is the Future of Stratification

September 23, 2018 2018 Fall Conference

Plenary: Beyond Risk Stratification: Why Understanding Population Segments Is the Future of Stratification

“Central City Concern, a nonprofit providing comprehensive solutions to ending homelessness and achieving self-sufficiency, has developed an innovative population segmentation framework. The framework has been used to predict hospitalizations, target specific clients with tailored interventions, and guide the redesign of systems of care. The framework divides our population into 19 subgroups, each of which describes a set of intersecting needs. By focusing on clients’ needs, rather than on the abstract concept of risk, the framework can help drive both clinical decision-making and systems redesign.

In this session we will share our population segmentation framework beginning with the simple logic that it’s built on. We will describe the interdisciplinary design process we used to develop the framework, and we will discuss the findings of a new research study that validates the utility of the framework for predicting hospitalizations. We will also discuss a specific use case for the framework in the context of our complex care services. Lastly, we will explore how we are beginning to use the framework in the redesign of our systems, and engage session participants in a conversation about implementing similar frameworks in their local contexts.

” Implementations, Innovations, and Best Practices Beginner to Intermediate “By the end of the session, participants will be able to:
• Compare population segmentation to risk stratification
• Describe one organization’s population segmentation framework
• Discuss how a population segmentation framework can be validated
• Explain how to begin the process of population segmentation in their local contexts

Matthew Mitchell, Data Strategist, Central City Concern

Matthew Mitchell is the data strategist at Central City Concern, a homeless service nonprofit and federally qualified health center in Portland, OR. Mr. Mitchell leverages analytics and human-centered design to shape strategic responses to complex health and social needs. He has worked in homeless services and health care for over a decade and is committed to ensuring that our most vulnerable neighbors have access to high-quality care.

Presentation