Year: 2026
Type: conference-paper
Study design: Observational Study
Abstract: Speech recognition-aided documentation could improve paramedicine documentation and continuity of patient care. However, little research has been done to facilitate the development and implementation of technology, including speech recognition, in paramedicine. We asked Canadian paramedics to rank the dimensions most important to them overall when considering the adoption of speech-recognition technologies (n = 275) and to identify the value of different features of speech-recognition-aided documentation within each dimension of the Sittig and Singh socio-technical model (n = 323). Paramedics rated the product design and usability dimensions as more important than the broader system dimensions. However, all dimensions were represented by the top 10 most positively rated features, except Workflow & Communication, which had no features ranked higher than 12 th . Individual features were scored on a scale of 1 (not valuable) to 5 (extremely valuable). Five of the top ten desired features were in the People or Human-Computer Interaction dimensions. In highest rank order, the top ten desired features included: Patient Interaction, Training, Compliance, Support, Durability, Accuracy, Continuous Improvement, Editing, Dictation, and Training Support. For the top ten listed features, 86–95% of the scores were 4 or 5. These results highlight Canadian paramedics’ need for a purpose-built system. Understanding these priorities can help vendors and paramedic systems design and implement effective speech-recognition-aided documentation systems in paramedicine.
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7164854661