HITEQ Center / Thursday, April 6, 2017 / Categories: Population Health, Using Data for PHM and SDH Community Vital Signs Provides Additional Insights for Population Health Management There is growing awareness of the impact of upstream social determinants on population health, but until recently these have been considered best addressed by policy makers on a large scale, and beyond the control of the medical system to influence. That view may be changing, as discussed in this article by Ravi Narayanan, a member of the HIMSS Clinical & Business Intelligence Committee, and a Data Strategy and Management Consultant. Mr. Narayanan describes how the adoption of value-based care and population health management has led health care providers to incorporate addressing unmet social needs into the provision of medical care. This article discusses an innovative approach to incorporating social determinants data into population health, through geocoded address data to integrate Community Vital Signs, publicly available data about the community in which the patient lives. Resource Links Community Vital Signs Provides Additional Insights for Population Health ManagementThis paper discusses Community Vital Signs, which include data on housing, environmental exposure, neighborhood race and ethnicity data, neighborhood socio-economic makeup, and other data, and how these data may be useful to population health management. Previous Article Community Referral: Using Social Determinants of Health Data & Technology Tools to Connect with Appropriate Community Resources Next Article Current Population Health Management in Health Centers Print 16074 Tags: social determinants data Population Health data for population health Intended AudienceHealth Center QI staff; Health Center IT Staff; Health Center Administration; Health Center Analytics Staff Related Resources Lessons Learned: Implementing and Expanding Social Needs Screening Programs in Health Centers - Session 5: Learning Lab Lessons Learned: Implementing and Expanding Social Needs Screening Programs in Health Centers - Session 4: Level 4: Monitoring Population Level Data and Beyond Lessons Learned: Implementing and Expanding Social Needs Screening Programs in Health Centers - Session 3: Level 3: Responding to the Social Needs Screening Lessons Learned: Implementing and Expanding Social Needs Screening Programs in Health Centers - Session 2: Level 2: Implementing a Social Needs Screening Tool Lessons Learned: Implementing and Expanding Social Needs Screening Programs in Health Centers - Session 1: Introduction and Level 1: Coming to Consensus 1 comments on article "Community Vital Signs Provides Additional Insights for Population Health Management" 0 0 Suzanne Cohen Just wanted to mention that Health Federation of Philadelphia is working with Drexel Dornsife School of Public Health to pilot a similar approach using geocoding of health center data and association with community level variables. We are early on in the project but see great potential for this approach. The intent is to use the data both to understand better how SDOH impact clinical outcomes and to look at ways to integrate community level information back into clinical workflow and population health management. 5/11/2017 10:29 AM Reply to Leave a comment Name: Please enter a name. Email: Please enter an email address. Please enter a valid email address. Comment: Please enter comment. I agree This form collects your name, email, IP address and content so that we can keep track of the comments placed on the website. For more info check our Privacy Policy and Terms Of Use where you will get more info on where, how and why we store your data. You must read and accept this rules. Add comment
Suzanne Cohen Just wanted to mention that Health Federation of Philadelphia is working with Drexel Dornsife School of Public Health to pilot a similar approach using geocoding of health center data and association with community level variables. We are early on in the project but see great potential for this approach. The intent is to use the data both to understand better how SDOH impact clinical outcomes and to look at ways to integrate community level information back into clinical workflow and population health management. 5/11/2017 10:29 AM
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