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Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care

Integrating speech recondition technology into an electronic health record (EHR) has been studied in recent years. However, the full adoption of the system still faces challenges such as handling speech errors, transforming raw data into an understandable format and controlling the transition from o...

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Detalles Bibliográficos
Autores principales: Mairittha, Tittaya, Mairittha, Nattaya, Inoue, Sozo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749582/
https://www.ncbi.nlm.nih.gov/pubmed/31470554
http://dx.doi.org/10.3390/s19173736
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author Mairittha, Tittaya
Mairittha, Nattaya
Inoue, Sozo
author_facet Mairittha, Tittaya
Mairittha, Nattaya
Inoue, Sozo
author_sort Mairittha, Tittaya
collection PubMed
description Integrating speech recondition technology into an electronic health record (EHR) has been studied in recent years. However, the full adoption of the system still faces challenges such as handling speech errors, transforming raw data into an understandable format and controlling the transition from one field to the next field with speech commands. To reduce errors, cost, and documentation time, we propose a dialogue system care record (DSCR) based on a smartphone for nursing documentation. We describe the effects of DSCR on (1) documentation speed, (2) document accuracy and (3) user satisfaction. We tested the application with 12 participants to examine the usability and feasibility of DSCR. The evaluation shows that DSCR can collect data efficiently by achieving 96% of documentation accuracy. Average documentation speed was increased by 15% (P = 0.012) compared to traditional electronic forms (e-forms). The participants’ average satisfaction rating was 4.8 using DSCR compared to 3.6 using e-forms on a scale of 1–5 (P = 0.032).
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spelling pubmed-67495822019-09-27 Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care Mairittha, Tittaya Mairittha, Nattaya Inoue, Sozo Sensors (Basel) Article Integrating speech recondition technology into an electronic health record (EHR) has been studied in recent years. However, the full adoption of the system still faces challenges such as handling speech errors, transforming raw data into an understandable format and controlling the transition from one field to the next field with speech commands. To reduce errors, cost, and documentation time, we propose a dialogue system care record (DSCR) based on a smartphone for nursing documentation. We describe the effects of DSCR on (1) documentation speed, (2) document accuracy and (3) user satisfaction. We tested the application with 12 participants to examine the usability and feasibility of DSCR. The evaluation shows that DSCR can collect data efficiently by achieving 96% of documentation accuracy. Average documentation speed was increased by 15% (P = 0.012) compared to traditional electronic forms (e-forms). The participants’ average satisfaction rating was 4.8 using DSCR compared to 3.6 using e-forms on a scale of 1–5 (P = 0.032). MDPI 2019-08-29 /pmc/articles/PMC6749582/ /pubmed/31470554 http://dx.doi.org/10.3390/s19173736 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mairittha, Tittaya
Mairittha, Nattaya
Inoue, Sozo
Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care
title Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care
title_full Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care
title_fullStr Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care
title_full_unstemmed Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care
title_short Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care
title_sort evaluating a spoken dialogue system for recording systems of nursing care
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749582/
https://www.ncbi.nlm.nih.gov/pubmed/31470554
http://dx.doi.org/10.3390/s19173736
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