Mobile dictation for healthcare professionals

Tuuli Keskinen, Aleksi Melto, Jaakko Hakulinen, M. Turunen, Santeri Saarinen, Tamás Pallos, Pekka Kallioniemi, Riitta Danielsson-Ojala, S. Salanterä
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引用次数: 5

Abstract

We demonstrate a mobile dictation application utilizing automatic speech recognition for healthcare professionals. Development was done in close collaboration between human-technology interaction and nursing science researchers and professionals working in the area. Our work was motivated by the need for improvements in getting spoken patient information to the next treatment steps without additional steps. In addition, we wanted to enable truly mobile spoken information entry, i.e., dictation can take place on the spot. In order to study the applicability we conducted a small-scale Wizard-of-Oz evaluation in a real hospital environment with real nurses. Our main focus was to gather subjective expectations and experiences from the actual nurses themselves. The results show true potential for our mobile dictation application and its further development.
医疗保健专业人员的移动听写
我们演示了一个移动听写应用程序,利用自动语音识别医疗保健专业人员。开发是在人-技术互动、护理科学研究人员和在该领域工作的专业人员之间的密切合作下完成的。我们的工作的动机是需要改进将病人的口头信息传递到下一个治疗步骤,而不需要额外的步骤。此外,我们希望实现真正的移动语音信息输入,即听写可以在现场进行。为了研究其适用性,我们在真实的医院环境中与真实的护士进行了小规模的绿野仙踪评估。我们的主要重点是收集实际护士自己的主观期望和经验。结果显示了我们的移动听写应用程序及其进一步发展的真正潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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