A comparison of voice recognition system and traditional keyboard charting for nurse documentation

Abstract

This study shows how a voice recognition technology can improve documentation times compared to traditional charting methods and can allow nurses more time to focus on patients. Patients can benefit from receiving more care and hospitals can benefit from decreasing incidental overtime.

Author Details

LeAnn Mayer, DNP, MSN, RN, CNE, Indiana School of Nursing Fort Wayne, Fort Wayne, Indiana, USA; Dongjuan Xu, PhD, RN; Nancy E. Edwards, PhD, MSN, ANP-BC FAANP -- School of Nursing, College of Health and Human Sciences, Purdue University, West Lafayette, Indiana, USA

Sigma Membership

Unknown

Lead Author Affiliation

Indiana University Fort Wayne, Fort Wayne, Indiana, USA

Type

Presentation

Format Type

Text-based Document, Video Recording

Study Design/Type

N/A

Research Approach

N/A

Keywords:

Nurse Documentation, Traditional Keyboard Charting, Voice Recognition, Charting Methods

Conference Name

31st International Nursing Research Congress

Conference Host

Sigma Theta Tau International

Conference Location

Virtual Event

Conference Year

2020

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Video/Audio Streaming

Rights Holder

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All permission requests should be directed accordingly and not to the Sigma Repository.

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Review Type

Abstract Review Only: Reviewed by Event Host

Acquisition

Proxy-submission

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A comparison of voice recognition system and traditional keyboard charting for nurse documentation

Virtual Event

This study shows how a voice recognition technology can improve documentation times compared to traditional charting methods and can allow nurses more time to focus on patients. Patients can benefit from receiving more care and hospitals can benefit from decreasing incidental overtime.