Evidence map›Paper›PMID 42228935›Full record

ArticleAsian/Pacific Island nursing journal2026

Clinical Barriers to Hands-Free, Eyes-Free Voice Input for Nursing Records: Field Usability Study.

Natsuko Nishida, Chang Liu, Goshiro Yamamoto, Tomohiro Kuroda

Abstract read
In one paragraph

Article in Asian/Pacific Island nursing journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Natsuko NishidaDepartment 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.ORCID http://orcid.org/0009-0008-5849-2120
Chang LiuDepartment of Real World Data R&D, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0002-0515-5226
Goshiro YamamotoPreemptive Medicine and Lifestyle Related Disease Research Center, Kyoto University Hospital, Kyoto, Japan.ORCID http://orcid.org/0000-0002-2014-7195
Tomohiro KurodaDepartment 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.ORCID http://orcid.org/0000-0003-1472-7203

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nursing records are essential for maintaining patient care quality but impose a substantial workload on nurses, thus contributing to burnout and diverting attention from direct care. Voice input technology enables hands-free and eyes-free documentation, allowing simultaneous patient care and record entry. Despite its potential, its adoption in clinical nursing practice remains limited owing to concerns about patient privacy, technical instability, and the complexity of entering structured data into electronic medical record interfaces. Furthermore, most previous studies have been conducted in simulation settings or have focused on post hoc dictation. Thus, the feasibility of true simultaneous documentation in real-world clinical environments remains largely unexplored. Objective: This pilot study was designed to explore the feasibility of using hands-free and eyes-free voice input for concurrent nursing documentation in the highly structured clinical environment of a catheterization laboratory. Methods: This study was conducted at Kyoto University Hospital using a mixed methods exploratory design. Eight cases of percutaneous transhepatic cholangiodrainage and transcatheter arterial chemoembolization were observed between December 2022 and January 2023. Five nurses participated in this study and documented intraoperative events using both traditional handwritten records and a prototype voice dialogue system comprising a smartphone (Google Pixel 6a) and wireless earphones (Pixel Buds Pro). Researchers observed the nurses' behavior in adjacent control rooms to minimize interference. Log data from voice input and the corresponding handwritten notes were compared to determine the proportion of events successfully captured. In addition, semistructured interviews and usability surveys were conducted to obtain qualitative feedback on usability, practicality, and perceived barriers. Results: Voice input successfully recorded 40% to 100% of events during the preoperative and intraoperative phases, but only 0% to 12% during postoperative documentation. Observations and interviews revealed that the postoperative phase involved higher cognitive and communication demands, thereby making simultaneous voice documentation difficult. A significant barrier identified was the "social awkwardness" of interacting with the system; nurses reported feeling embarrassed when speaking loudly to activate the device and often stepped away from patients to record data, negating the benefit of concurrent entry. Concerns about disturbing patients or interrupting medical communication have also hindered use. Conclusions: This pilot study identified two major barriers in applying concurrent voice input in clinical settings: (1) the instability and unreliability of using voice input as the sole recording method and (2) the conflict between voice interaction and the social dynamics of care. To overcome these, future implementations should consider visible devices to signal recording status, support for whisper recognition, and protocols for code words to handle sensitive information. Gradual implementation may reduce nurses' cognitive and psychological burdens. Further large-scale longitudinal studies are warranted to validate these strategies in routine nursing documentation.

Indexed as

catheterization laboratoriesfeasibility studymobile phonepoint-of-care documentationworkflow

Identifiers

PMID42228935
PMCPMC13229460

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.