In their project description the team notes how the absence of uniform instructions in electronic prescriptions can increase risk noting, "For example, a recent national study identified 832 unique permutations for the direction concept 'Take 1 tablet by mouth once daily'." The project called "TRxanscribe" has a primary objective "...to develop and validate a natural language processing algorithm that transcribes e-prescription directions received from prescribers into patient-friendly language."
January 21, 2019
Vydiswaran Gets Mcubed for Algorithm Development
DLHS assistant professor V.G. Vinod Vydiswaran, along with Corey Lester of Pharmacy and Nursing's Yun Jiang, was recently awarded $60,000 by Mcubed to develop an automated transcription of e-prescriptions