AI Can Advance Health Equity

Health technology and augmented intelligence (AI) can significantly improve or worsen health equity. Recently, there has been a growing concern that AI is increasing disparity. ChristianaCare set a goal to reduce avoidable health disparities. The organization faced many challenges, including inconsistent collection, storage, and use of personal characteristics such as race, ethnicity, and language. Using its data platform and Healthcare.AI™, ChristianaCare now has a single “source of truth” for personal characteristics data. By treating health equity as a goal with the same commitment and focus as it would for other clinical, operational, or financial improvement efforts, the organization is purposefully using AI to achieve health equity.

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.

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.

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.

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.