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Clinical Barriers to Hands-Free, Eyes-Free Voice Input for Nursing Records: Field Usability Study
Natsuko Nishida1,2, Chang Liu3, Goshiro Yamamoto4
1Department of Medical Informatics, Course of Social Informatics, Graduate School of Informatics, Kyoto University, 54 Shogoin-kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan, 81 75-366-7701.
Voice input shows potential for nursing documentation but faces challenges in real-world clinical settings. Barriers include technical instability and social awkwardness, requiring further research for effective implementation.
Area of Science:
- Nursing Informatics
- Clinical Documentation Technology
- Human-Computer Interaction
Background:
- Nursing documentation is vital for patient care quality but increases nurse workload and burnout.
- Voice input technology offers hands-free, eyes-free documentation, enabling simultaneous patient care and record entry.
- Limited adoption of voice input in nursing stems from privacy, technical, and usability concerns, with few studies exploring real-world concurrent documentation.
Purpose of the Study:
- To explore the feasibility of hands-free, eyes-free voice input for concurrent nursing documentation.
- To assess voice input usability in the structured environment of a catheterization laboratory.
Main Methods:
- A pilot study using a mixed methods exploratory design at Kyoto University Hospital.
- Five nurses used a prototype voice dialogue system alongside traditional records for eight procedures.
- Data collected via voice log comparison, usability surveys, and semistructured interviews.
Main Results:
- Voice input successfully captured 40%-100% of preoperative and intraoperative events, but only 0%-12% of postoperative events.
- The postoperative phase's high cognitive demands hindered voice documentation.
- Barriers included technical instability, "social awkwardness," and concerns about patient privacy and communication disruption.
Conclusions:
- Concurrent voice input faces significant barriers in clinical settings: system instability and conflict with care's social dynamics.
- Future implementations need visible devices, whisper recognition, and code words for sensitive data.
- Gradual implementation and large-scale studies are recommended to validate strategies for routine nursing documentation.
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