Managing COVID-19 Health System Impact Using Lumiata AI

Leveraging its pioneering leadership in AI, strategic partnership with BlueCross BlueShield, and data asset of 100 million patients, Lumiata is uniquely positioned to deliver predictive analytics to help manage COVID-19’s impact on the US health system.

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Lumiata Solution for Patient and Population Health Management
The Lumiata AI Platform prepares raw data from sources that include patient medical records, insurance claims, medical billing codes (e.g., ICD-9, ICD-10, CPT), lab results (LONIC), medications and even unstructured data like doctor’s notes. Lumiata AI Platform automates the ingestion, cleansing, and organization of disparate data sources into a consumable data format ready for machine learning (ML). Lumiata’s platform includes a toolset for healthcare data scientists to quickly access, as well as, create and maintain machine learning models.

Lumiata Model Library includes more than 100 healthcare-specific AI models. These predictive models provide insights into clinical,  operational and financial use cases for improved health risk awareness and cost management.

Lumiata AI Can Help Address the COVID-19 Pandemic
Lumiata can move quickly and adapt to a breadth of predictive use cases to help manage the impact of COVID-19 pandemic on the nation’s health system. We can immediately begin to address the following use cases using existing models for predictions. As more data becomes available, we will explore additional solutions.

For Health Plans

  • Predict the impact on individual and group costs to help set 2021 premiums
  • Predict hospitalization, ICU admissions, and re-admissions
  • Calculate COVID-19 incidence by region or hospital system for contracting

For Health Systems

  • Forecast recurrence or resurgence of COVID-19 using epidemiological models
  • Predict hospitalization, ICU admissions, and re-admissions
  • Calculate COVID-19 incidence by region, hospital system, and community
  • Inform physicians of patients’ medical records, including comorbidities, prior hospitalizations, outpatient encounters, labs, imaging, and medications to help enhance clinical decisions

For Federal, State and Regional Health Agencies

  • Predict the spread of disease within a specific community
  • Calculate healthcare resource needs and associated cost (e.g., anticipate and plan for the cost of testing and treatments)