Graduate School of Engineering, Kyushu Institute of Technology, 1-1 Sensui-cho, Tobata-ku, Kitakyushu-shi, Fukuoka 804-8550, Japan.
Sensors (Basel). 2019 Aug 29;19(17):3736. doi: 10.3390/s19173736.
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).
近年来，将语音修复技术集成到电子健康记录（EHR）中已经得到了研究。然而，该系统的全面采用仍然面临着一些挑战，如处理语音错误、将原始数据转换为可理解的格式以及通过语音命令控制从一个字段到下一个字段的转换。为了减少错误、成本和文档记录时间，我们提出了一种基于智能手机的对话系统护理记录（DSCR）用于护理文档记录。我们描述了 DSCR 在（1）文档记录速度、（2）文档准确性和（3）用户满意度方面的效果。我们使用 12 名参与者对该应用进行了测试，以检验 DSCR 的可用性和可行性。评估表明，DSCR 通过实现 96%的文档记录准确性，可以有效地收集数据。与传统的电子表格（e-forms）相比，平均文档记录速度提高了 15%（P=0.012）。参与者使用 DSCR 的平均满意度评分为 4.8，而使用 e-forms 的平均满意度评分为 3.6（P=0.032），评分范围为 1-5。
