13. Get Ahead of Adverse Outcomes: Risk Prediction and Targeted Intervention for COVID-19 Patients

Track: Population Health and Value-Based Care
Level: Intermediate

With limited resources and rapidly growing COVID-19 patient volumes, accurate and rapid identification of individuals at the highest risk of hospitalization is a top priority. To identify and target interventions towards high-risk patients, ChristianaCare leveraged a cloud-based data platform and analytics applications, including data science tools and predictive analytics, to generate a risk score for each patient testing positive for COVID-19. Join this session to learn how up-to-date risk identification helped the organization make data-informed resource allocation decisions and enroll patients in the appropriate care management program, avoiding 61 hospital admissions and 7 intensive care unit admissions and avoiding $1.8 million in cost.

Participants will learn:

  • What risk prediction tools were used.
  • How up-to-date risk identification helped the organization make timely, data-informed decisions.
  • What interventions were used to avoid hospital and ICU admissions.

Watch HAS 21 Virtual On-Demand.

Replay HAS 21 Virtual

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