Clinical Analytics Success Stories in Healthcare

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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.

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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.

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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 System 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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The Analytics Emergency: Rapid Deployment of Real-Time Analytics, Enabled Incident Command

The COVID-19 pandemic pushed healthcare to rely on data and analytics for decision making and illustrated the criticality of accurate, real-time data and analytics. Despite having ample patient data available for direct patient care, Albany Med’s analytics platform had a two-day lag for much of the data. The organization quickly recognized that rapid access to COVID-19 analytics was essential and that it was vital for leaders to have real-time access to data for decision making during the COVID-19 crisis.

Featured Outcomes

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.

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Improving Population Health: Rapid Identification of Patients at Highest Risk of COVID-19

agilon health immediately understood the sizeable risk COVID-19 presented its members. The organization leveraged data and analytics to quickly develop a COVID-19 mortality risk model. agilon health distributed the risk data to its market partners for outreach, improving the ability of its partners to intervene to improve individual and population health.

Featured Outcomes

Deployed a COVID-19 risk model in just a few days, assigning risk scores to 125,000 members.
Within weeks, teams in each market connected with more than 50 percent of the patients at highest risk for COVID-19.
At one partner location, telehealth now comprises nearly 70 percent of visits. The partner went from zero telehealth visits in the first 11 weeks of 2020, to more than 2,200 telehealth visits in weeks 12 and 13.

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