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A Pilot Study for Integrating Automatic Speech Recognition Into Nursing Documentation.

Keum-Sook Jeun¹, Ye-Il Kim¹, Myeung-Ja Lee¹

¹Department of Nursing, Eunpyeong St. Mary's Hospital.

Computers, Informatics, Nursing : CIN

|February 16, 2026

Summary

This summary is machine-generated.

This study developed and improved an Automatic Speech Recognition (ASR) system for electronic health records (EHR) used in nursing documentation. Iterative, nurse-centered development enhanced the ASR system

Keywords:

electronic health records health information systems nursing speech recognition software user-centered design

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Area of Science:

Health Informatics
Medical Technology
Nursing Informatics

Background:

Electronic health records (EHR) are crucial for healthcare, but nursing documentation remains time-consuming.
Integrating advanced technologies like Automatic Speech Recognition (ASR) can streamline clinical workflows.
Optimizing EHR systems requires understanding user needs and iterative development.

Purpose of the Study:

To develop and integrate Automatic Speech Recognition (ASR) technology into electronic health records (EHR) specifically for nursing documentation.
To evaluate the effectiveness and user satisfaction of the ASR system through pilot deployments and feedback.
To iteratively improve the ASR system based on clinical nurse feedback and identified issues.

Main Methods:

The study employed the constructive ehealth evaluation method (CeHEM) framework over six phases.
A multidisciplinary task force collaborated on the design, development, and implementation of the ASR system.
Pilot deployments, clinical nurse interviews, and online surveys were used for evaluation and feedback collection.

Main Results:

Version 1 of the Nursing ASR system was piloted in nursing notes and the Kardex.
Feedback from clinical nurses identified areas for improvement in system functionality and usability.
Version 2 was redesigned with enhanced features, intuitive commands, and a mobile application.

Conclusions:

Nurse-centered, iterative development is essential for successful technology integration in healthcare.
Interdisciplinary collaboration effectively translates user feedback into practical system improvements.
The study provides valuable insights for healthcare organizations implementing ASR technology in EHR systems.