Dr. Edward Ewen is Director of Clinical Data and Analytics for Christiana Care Health System. He leads his organization’s enterprise information management program and is responsible for coordinating and setting strategies for its data warehousing, data governance, and business analytics activities. He has over 25 years’ experience in health care data warehousing and analytics. He is board certified in both Clinical Informatics and Internal Medicine with over 30 years of clinical practice in both primary care and hospitalist medicine.
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.