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Success Stories

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Effectively Highlighting Critical Performance Measures Through AI-Enabled Visual Management Boards

December 8, 2021
Featured Outcomes
  • 70 percent increase in the availability of timely, actionable data.
  • 367 measures visualized across 71 dashboards.
  • Healthcare.AI™ integration, with 4,000 requests processed per day.

AI-Enabled Care Management Reduces Healthcare Spending by $32.2M

September 29, 2021
Featured Outcomes
  • $32.2M decrease in healthcare spending.

Analytics Enables Rapid Identification of Patients with COVID-19 Qualifying for Monoclonal Antibody Therapy

August 11, 2021
Featured Outcomes
  • 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.

AI Can Advance Health Equity

June 3, 2021
Featured Outcomes
  • By leveraging its analytics platform and AI, ChristianaCare now has a systematic approach to evaluate health equity as a core part of its commitment to quality.
  • The organization has driven key insight using this approach, including overcoming disparities in COVID-19 testing and increasing access to care through innovative clinics that combine virtual primary care and COVID-19 testing in some of Wilmington’s underserved communities.

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

March 18, 2021
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

March 11, 2021
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

February 11, 2021
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.

Using Analytics to Automate Heart Failure Data Aggregation

August 20, 2020
Featured Outcomes
  • 50 percent reduction in the time required to complete the NICOR audit, saving more than 400 hours annually.
  • 52 extra days that registered nurses can spend seeing patients each year, rather than performing manual data entry.

Analytics Reveal AAA Programme Improvement Success

August 18, 2020
Featured Outcomes
  • 880x more patients reviewed than in the previous year’s chart audit.
  • 30 percent relative reduction in time from referral to procedure for all vascular referrals.

Self-Service Analytics Improves COVID-19 Incident Management Effectiveness

April 20, 2020
Featured Outcomes
  • In just 15 minutes developed COVID-19 registry that can be quickly updated based on the most recent evidence.

Self-Service Analytics Enables Systemwide Data-Driven Improvement

January 16, 2020
Featured Outcomes
  • One source of truth for its data and elimination of data silos.
  • Analysts are now able to spend most of their time analyzing, rather than preparing data.
  • 95 percent relative increase in the number of users accessing the analytics application.

Machine Learning and Feature Selection for Population Health

September 3, 2019
Featured Outcomes
  • Feature selection reduced the model complexity from 236 data features to just 16 data features (7 percent of the original data set).
  • Both models, the one with 236 data features and the one with 16 data features, had an AUROC of 0.78 and an AUPR of 0.15, suggesting no degradation of predictive performance due to the lower number of features selected.
  • CCHS care managers have confidence in the predictive model, and they are successfully using the output of the machine learning tool to engage with an average of 857 distinct members each week, completing more than 2,520 tasks for those members.

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