Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care.

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ID: 66663
2019
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Abstract
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).
Reference Key
mairittha2019evaluatingsensors Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mairittha, Tittaya;Mairittha, Nattaya;Inoue, Sozo;
Journal sensors
Year 2019
DOI
E3736
URL
Keywords
data collection electronic health record dialogue system

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