A comparison of voice recognition system and traditional keyboard charting for nurse documentation
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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 Affiliation
- Xi Nu
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- Indiana University Fort Wayne, Fort Wayne, Indiana, USA
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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.
Video Length: Approximately 12 minutes
The presentation video and abstract files are attached to this item record.
The recorded presentation is available in this record as a streamable embed for patrons' convenience.
Type | Presentation |
Acquisition | Proxy-submission |
Review Type | Abstract Review Only: Reviewed by Event Host |
Format | Text-based Document |
Evidence Level | N/A |
Research Approach | N/A |
Keywords | Nurse Documentation; Traditional Keyboard Charting; Voice Recognition; Charting Methods |
Name | 31st International Nursing Research Congress |
Host | Sigma Theta Tau International |
Location | Virtual Event |
Date | 2020 |
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