In just nine days, ChristianaCare leveraged DOS and data science tools to develop and implement a COVID-19 bamlanivimab eligibility machine learning model. Automating the identification of eligible patients accelerated the organization’s ability to deliver monoclonal antibodies for the treatment of COVID-19.
$1.8M in cost savings, achieved by avoiding 61 hospital admissions and seven intensive care unit admissions.
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.
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.
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.
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.
In less than 16 hours, deployed integrated, real-time dashboards for monitoring all COVID-19 activity, including patient testing and activity, care requirements, and supply utilization. 99.8 percent relative reduction in processing time, providing incident command the critical data required to drive informed decision making. Thousands of patients tested for COVID-19. Integrated workforce and COVID-19 data for more than 13,000 employees, volunteers, and contractors.
In just 15 minutes developed COVID-19 registry that can be quickly updated based on the most recent evidence.
Seven days to develop a COVID-19 dashboard that integrates more than 60 critical metrics.
In just two weeks, deployed a COVID-19 elective surgery impact analysis application.
Integrated analytics, enabling the organization to develop a long-term surgical financial recovery plan.
In just one-week, deployed COVID-19 virtual visit scenario planning.