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Results

Predictive Analytics and Care Management Reduces COVID-19 Hospitalization Rates Avoiding Nearly $2M in Costs

For people 65 years of age and older, COVID-19 hospitalization rates in the U.S. have been as high as 1,245.7 per 100,000 population, straining the resources and capacity of health systems. The limited availability of resources at ChristianaCare impacted its ability to effectively identify patients with COVID-19 who were at risk of severe illness and hospitalization. By leveraging its analytics platform, including data science tools and predictive analytics to provide COVID-19 risk prediction, the organization was able to provide targeted interventions and help patients avoid unnecessary hospitalization.

Featured Outcomes

  • $1.8M in cost savings, achieved by avoiding 61 hospital admissions and seven intensive care unit admissions.

Analytics Enables Robust COVID-19 Patient and Staff Contact Tracing

Carle Health was using all available business intelligence resources to meet COVID-19 challenges. The organization quickly realized that the functionality provided by its EMR was insufficient for COVID-19 contact tracing efforts. By utilizing its data platform and the COVID-19 Patient & Staff Tracker, Carle Health is improving the efficiency, effectiveness, and accuracy of its COVID-19 contact tracing efforts.

Featured Outcomes

  • Daily contact tracing data available with the click of a button for more than 600 patients and thousands of employees.
  • Rapid identification of potential exposures, ensuring timely follow-up.
  • 1,000 hours of burdensome, manual data collection eliminated. Infection preventionists are able to redirect that time into preventing further spread of COVID-19.

Analytics Enables Optimized COVID-19 Vaccination Efforts

University of Louisville Health (UofL Health) manually extracted COVID-19 vaccine administration data from its EMR and combined it with inventory data to conduct time-consuming reconciliations weekly. It lacked the necessary insights to efficiently model and forecast inventory requirements to administer as many first doses as possible without exhausting its supply of second doses. UofL Health leveraged a vaccine inventory management tool, providing the organization with the necessary data analytics to quickly and accurately model vaccination schedules, forecast vaccine supply needs, identify and resolve quality/safety concerns, and generate required regulatory reports.

Featured Outcomes

  • Thirty percent increase in scheduled vaccinations per week, growing and optimizing the use of available COVID-19 vaccine inventory while also ensuring adequate inventory for second doses.
  • Hundreds of hours of manual data reconciliation and evaluation avoided annually. Analyses that used to require hours are now completed in minutes.
  • More timely access to data, facilitating timely operational, quality, and safety decisions by organizational leaders.

Efficient Exchange of Data Improves Alternate Care Site Patient Transfers Increasing Capacity for COVID-19 Surge

Paso Del Norte Health Information Exchange (PHIX) and Hospital Corporation of America (HCA) sought to improve data exchange to support safe, effective transfer of patients to alternative care sites. PHIX and HCA leveraged the Health Catalyst Interoperability Suite to provide clinicians a comprehensive view of a patient’s clinical history. Clinicians now have immediate access to the critical patient data required for a safe, efficient patient transfer.

Featured Outcomes

  • Nearly 300 patients transferred to the alternative care site, increasing hospital capacity.
  • Hundreds of hours of burdensome manual data processing avoided in just two weeks—thousands of work hours annually.
  • Valuable clinician time directed back to patient care—imperative for an effective COVID-19 surge response.

COVID-19 Capacity Planning Tool Provides Advanced Analytics and Improved Operational Effectiveness

COVID-19 is causing many hospitals and health systems to face resource and capacity restrictions, making the accurate estimation of COVID-19 requirements crucial. Carle Health needed the ability to anticipate the impact COVID-19 would have on its organization and community. After analyzing national COVID-19 capacity planning resources, Carle chose a model that was customized for its organization. Carle leveraged its analytics platform and data science tools, using local data and infection rates to forecast the impact of COVID-19 locally. The organization now has critical insight into when surges will occur and can determine if it has enough available resources.

Featured Outcomes

  • Carle has embraced data science by implementing and integrating a COVID-19 capacity planning tool into daily operations in less than two months.
  • The organization is using advanced analytics for its capacity planning efforts and to support its leadership team in making timely decisions, improving the effectiveness of COVID-19 planning and response.
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