Voice Capture of Medical Residents' Clinical Information Needs During an Inpatient Rotation
Information Storage and Retrieval
Internship and Residency
Natural Language Processing
Speech Recognition Software
We found that it is feasible for residents to capture their clinical questions in natural language during workflow and that recording questions may prompt awareness of previously unrecognized information needs. However, the semantic complexity of typical questions and mapping failures due to residents' use of acronyms and abbreviations present challenges to machine-based extraction of semantic content.