Session ID: 
310

Analytics for Good: Using SDOH to Improve Infant Mortality

4:00pm - 5:00pm Thursday, March 12
Orlando - Orange County Convention Center
W414A

Description

African-American babies in Ohio are more than three times as likely to die before their first birthday, compared with white babies. Instead of pursuing traditional top-down attempts to change at-risk, mother behaviors, Ohio pursued a social determinates of health (SDOH) approach. It combines cross-agency data sharing and collaboration opportunities with intelligent analytics, to achieve better birth and infant mortality outcomes. Led by fast-moving cross-disciplinary teams, the approach incorporated Human-Centered Service Design techniques with appropriate ethical oversight and governance. The initiative sought to answer three questions: which mothers and infants face the greatest risk of infant death; which will benefit the most from participating in interventions; and which interventions will save the most lives? In just three months, Ohio created a first-of-its-kind, 360-degree view of the at-risk mothers, prioritized about 250,000 such cases, and prescribed targeted interventions.nike

Learning Objectives

  • Create a 360-degree view of an at-risk population
  • Employ intelligent analytics to uncover pathways to better birth and infant mortality outcomes
  • Identify actionable interventions to support healthy families and provide the right care for at-risk moms and babies
  • Develop measurable, shared goals for social determinants of health
  • Identify the guiding principles for community engagement to connect and build trust

Speaker(s)

Chief Executive Officer,
Our Healthy Community
Managing Director,
Accenture

Continuing Education Credits

ABPM
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00
PDU
1.00

Audience

Data Scientist
Population Health Management Professional
Public Health Practitioner

Level

Intermediate