Abstract

Problem Addressed and Project Purpose Motivated by the transition to value-based payment models, 1 there are growing efforts to capture information about patients’ social determinants of health (SDOH) in United States (US) healthcare and provide subsequent services targeted at those health-related social risk factors. The collection of data about social risk factors creates opportunities for healthcare providers to make referrals to social service agencies to address individual patients’ needs and to tailor treatment plans to individuals’ specific needs, a goal of precision health2,3. Hence, by accurately and appropriately collecting SDOH data from patients and actionably displaying these data to providers, healthcare systems may provide resources and effective patient-centered treatment, working towards the goal of achieving better health outcomes for patients who are disadvantaged2 . While healthcare organizations are beginning to screen patients for numerous social needs using a variety of tools, no standard or universally-used screening tools or processes exist. At the same time, varied screening policies tailored to the needs of specific patient populations may be necessary to ensure accurate and appropriate data collection1 . There is limited evidence on how social risk data collection is currently carried out both formally and informally in different clinical settings, suggesting open research questions such as what types of screening are offered, which types of providers or staff performs screening, when are patients screened, how are patients screened, and what is the impact of standardized screening practices on patients and providers? We have formed a partnership between Parkview Health and the University of Michigan to address these questions.

Document Type

Conference Proceeding

Publication Date

11-2020

Publication Title

American Medical Informatics Association Annual Symposium

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