Structured speech input for clinical data collection
Michael Grasso · 2003
This paper presents an environment for collecting clinical data using structured speech input. The system uses nomenclature terms and data consistency rules to limit the speech input to a discrete set of phrases which can be configured to support a wide range of studies. This information is stored in an event-oriented data model as strongly typed observations for subsequent distribution and data analysis. The use of speech input should result in increased efficiency during hands-busy data collection tasks. The strongly typed data, as opposed to free-form narratives, ensures a quantitative information base for analysis and clinical decision support.