Emory Healthcare

Medication history data imported into Emory's Epic EHR often arrived as unstructured free text with missing information and inconsistent terminology. Clinicians had to manually call pharmacies to fill gaps, increasing the risk of human error and slowing medication reconciliation. Without comprehensive prescription fill history, it was difficult to track adherence for high-risk population health patients.

Emory implemented DrFirst's Fuzion platform, deploying three services: (1) a clinical-grade AI engine that converts unstructured medication history data into structured Epic EHR fields by deciphering clinical language and standardizing terminology; (2) real-time prescription price transparency showing patient-specific out-of-pocket drug costs at point of care; and (3) automated HIPAA-compliant patient text messaging with prescription reminders and educational content embedded in the Epic e-prescribing workflow.

In the first month post-launch, a 13% improvement was seen in home medications directly imported into Epic within 24 hours of admission, saving staff time and reducing keyboard errors. The AI enhanced medication history data for 81% of all available home medications, reducing gaps in patient records. Medication history data was captured for 92% of patients age 65 and older, supporting high-risk medication reconciliation initiatives.

• Clinical-grade AI that interprets and standardizes unstructured medication sigs can materially reduce manual data entry while improving record completeness at point of care.
• Integrating price transparency and patient engagement messaging directly into existing EHR workflows (Epic) avoids adding steps for clinicians and drives adoption.
• Focusing AI-augmented medication history on elderly patients (65+) delivers outsized value for population health programs targeting high-risk, high-adherence-risk cohorts.