Patient Population Identification and Care Management Optimization

CHALLENGE & OPPORTUNITY

BayCare’s care management team struggled to support operational demands with an increasing patient population and found themselves spending more time reviewing medical records rather than supporting the patient population.

SOLUTION HIGHLIGHTS

• AI analyzed the EHR to extract key data features from unstructured information
• Disease state identification model was created to predict primary and secondary patient diagnoses
• Data and analytics pipeline was automated from data curation to visualization, incorporating a dynamic dashboard for care managers to easily determine most appropriate patient care

KEY BENEFITS

• Eliminated a highly intensive manual review process, reducing care manager EHR review time by over 80%
• Improved patient disease state identification by 41%
• Streamlined the care management process and increased the number of patients that were seen