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AI-Powered Benchmarking Transforms Data into Insight, Improving Organizational Effectiveness

Healthcare organizations have a vast amount of data available. Data need to be converted into better decisions regarding organizational focus, resource allocation, and setting and driving toward appropriate targets to optimize performance. Beyond significant data integration and transformation, optimal leadership decisions require a broad perspective and cutting-edge analytics.

Previously, INTEGRIS Health had high volumes of data but lacked the insight it wanted to drive performance. By leveraging a robust analytics platform, INTEGRIS Health now has more comprehensive and better-integrated data coupled with the cutting-edge analytics it needs to make critical leadership decisions and drive daily performance.

Featured Outcomes

  • Leveraging Touchstone®, INTEGRIS Health has a deep understanding of its performance and a unified vision of quality, enabling the organization to focus on opportunities to improve outcomes and organizational performance. Rather than reacting to delayed performance data, the organization is proactively pursuing improvement.
  • Data are refreshed 50x faster than what INTEGRIS Health had before and the benchmarks themselves are both more adaptive and detailed.
  • The organization has saved $500K annually by sunsetting a third-party benchmarking tool.

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.

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.

Analytics Improves Population Health and Drives Efficiencies

agilon health, an organization that partners with physician organizations in full risk contracts, needed a way to help its physician partners and care management staff quickly identify patients in danger of deteriorating health status and increased cost. However, taking a deeper look at the health status and costs associated with these patients was complicated by the slow manual review of data. By developing an analytics application, agilon health was able to turn its data into actionable insights, automate many manual processes, and ultimately provide targeted improvement interventions aimed at better care delivery.

Featured Outcomes

  • 90 percent relative improvement in efficiency.

Trigger-Based Analytics Application Recognizes More Wrong-Patient Order Errors

This healthcare organization, comprised of a specialty hospital and multiple clinics, sought to improve safety for its patients, focusing on identifying wrong-patient order errors. To better understand and improve patient safety, the organization needed to move beyond passive surveillance. By using multiple detection methods for identifying wrong-patient errors and establishing triggers that identify when a wrong-patient order may have occurred, hospital and clinic staff are able to investigate instances.

Featured Outcomes

  • For the first time, the organization has comprehensive wrong-patient order data, and has the ability to truly understand the number of wrong-patient orders.
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