CXO Spotlight: Making Data Actionable to Advance More Equitable Clinical and Community Intervention

Event Time

Originally Aired - Tuesday, March 12 1:30 PM - 2:30 PM Eastern Time (US & Canada)

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Event Location

Location: W304E


Event Information

Type: General Education

Session ID: 43

Title: CXO Spotlight: Making Data Actionable to Advance More Equitable Clinical and Community Intervention

Description: Leading approaches for population health provide a conceptual framework to help understand why some people are healthier than others and how to structure interventions for individuals and groups. How can providers and payors accelerate their population health transformation when facing cost pressures, an overburdened workforce, and the imperative for more equitable care? Join this session for valuable insight into how new technologies such as machine learning, generative AI, and tools for differential privacy are being used in the context of modern data platforms to drive risk modeling, decision support, collaboration and privacy protection for clinical and community intervention.  This panel of experts will discuss strategies to improve population health, advance value-based care, and accelerate progress on health equity.

Level: Intermediate

Format: 60-Minute Panel Discussion

Learning Objective #1: Examine strategies for engaging providers and patients to enhance tools and technologies for clinical and community intervention

Learning Objective #2: Understand technology-enabled implementations pathways to improve risk surveillance,analytics, and intervention spanning the care continuum for induvidual and population health

Learning Objective #3: Identify strategies for engaging providers and patients to build technologies harnessing structured and unstructured data for clinical and community intervention

Learning Objective #4: Identify strategies for engaging providers and patients to build technologies harnessing structured and unstructured data for clinical and community intervention


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Categories

Care

  • Public Health and Population Health

Audience

  • Clinical Informaticist
  • Population Health Management Professional
  • Public Health Practitioner