CASE STUDY
WellSpan Health Finds Missing Medication History Close to Home to Improve Patient Safety
At WellSpan Health, incomplete medication history data was causing delays in the medication reconciliation process, with clinical staff calling pharmacies and providers to gather, confirm, and manually enter patient data.
Download the case study to see how this eight-hospital system is now using the award-winning, AI-powered MedHx solution to:
- Gather prescription fill information from local pharmacies
- Standardize, infer, and prepopulate drug and sig information in Epic
- Transition legacy EHR data from multiple facilities to one Epic system
How Does AI Improve Quality
of Medication Data?
How Much Time Does AI Save
Over Manual Conversion?
What Is the Cost Savings
With Automated Data Conversion?
"To save time and improve quality of medication history data when consolidating three EHRs into a network-wide implementation of Epic, we developed a data conversion process using DrFirst’s SmartProcessor AI engine that cleans and structures data beyond standard neuro-linguistic programming (NLP) using clinical and statistical context. This normalized the medication data to be used in our Epic system while addressing discrepancies and variations from the old EHRs, inferring missing data with context from medication histories to prevent blank fields while avoiding labor-intensive manual entry."
Robert Lackey, M.D., FAAFP
Chief Medical Information Officer, WellSpan Health
