Feasibility study of voice-driven data collection in animal drug toxicology studies

The object of this study was to determine the feasibility of using voice recognition technology to enable hands-free and eyes-free collection of data related to animal drug toxicology studies. Specifically, we developed and tested a prototype voice-driven data collection system for histopathology data using only voice input and computer-generated voice responses. The overall accuracy rate was 97%. Additional work is needed to minimize training requirements and improve audible feedback. We conclude that this architecture could be considered a viable alternative for data collection in animal drug toxicology studies with reasonable recognition accuracy.