Clinical research coordinators face data-entry challenges that go far beyond "copy and paste." A single lab value from one report often needs to be entered into three or more separate electronic case report forms. A source document reports an exact number, but the form asks for a range. Units in the electronic health record (EHR) don’t match what the electronic data capture (EDC) system expects. And buried in pages of physician notes is the one clinical detail needed for a single field. These tedious and error-prone tasks consume hours that could be spent with patients. Artificial intelligence (AI) is built for exactly these problems. This session breaks down the specific pain points of EHR-to-EDC data transfer and shows how AI handles each one: mapping one value to multiple forms, converting units, translating values to ranges, and parsing unstructured clinical notes.

CEU: 1.0 ACRP

Speaker:

• Tejasva Jaitly, Founding Engineer, Truco