Session ID: 
144

Identifying Homelessness Through Data

1:30pm - 2:00pm Wednesday, February 13
Orlando - Orange County Convention Center
W300

Description

Identifying and addressing social determinants is becoming an essential part of healthcare. Despite their recognized impact on healthcare outcomes, actually identifying these determinants on both a patient- and population-level is difficult and often leaves us with an incomplete picture. Unstable housing is a major risk factor for many Hennepin Healthcare patients; this session will describe our journey to understand, identify and address this determinant with our patients. A novel approach to using population-level data to identify homelessness was our first step in eventually developing a multi-faceted indicator that is clinically meaningful. This approach is applicable to other healthcare organizations looking to take steps in identifying and addressing social determinants of health.

Learning Objectives: 

  • Identify the difficulties in presenting social determinant data to clinicians in a useful way
  • Use population-level data to identify patients at risk for unstable housing
  • Design multi-faceted indicators of social determinant risk at other healthcare organizations

Speaker(s): 

Clinical Informaticist,
Hennepin County Medical Center

Audience: 

Clinical Informaticists
Data Scientist
Population Health Management Professional

Level: 

Introductory