Predicting COVID-19 hospitalization risk using HealtheIntent

COVID-19 patient data from our population health intelligence platform, HealtheIntent, was used in a retrospective cohort study designed to identify predictive factors for hospitalization and support proactive vaccine outreach to high-risk groups. In this session, industry leaders will discuss the role of data science in advancing COVID-19 response and recovery efforts.

 

The speakers, content managers, and planners from Cerner Corporation do not have any relevant financial interests to disclose.

 

  • Session Type:On-demand session
  • Learning objective 1:Describe real-world applications of data science to support vaccination efforts.
  • Learning objective 2:Discuss how the accuracy of longitudinal records supports data science work.
  • Learning objective 3:Identify practical and short-term use of population health to effect change.
  • Content topics:Data and analytics, Intelligence, Population Health Mgmt
  • Continuing education credits:ACPE, CME, CNE
  • International:Yes
  • Solutions:HealtheAnalytics, HealtheDataLab, HealtheEDW, HealtheIntent, Machine Learning
  • Target audience:Business Intelligence, Data Science, Population Health Management
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