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Development of an Automatic Chronological Record Creation System Using Voice AI to Facilitate Information Aggregation and Sharing in the Event of a Disaster

Published online by Cambridge University Press:  12 December 2023

Takakiyo Tsujiguchi ,
Masashi Imai ,
Shota Kimura ,
Tomoki Koiwa ,
Masato Naraoka ,
Hiroyuki Hanada ,
Kanako Yamanouchi ,
Ikuo Kashiwakura  and
Katsuhiro Ito
Takakiyo Tsujiguchi
Affiliation:
Hirosaki University, Radiation Emergency Medicine and Cooperation Promotion, Education Center for Disaster and Radiation Emergency Medicine, Hirosaki, Aomori, Japan
Masashi Imai
Affiliation:
Graduate School of Science and Technology, Hirosaki University, Hirosaki, Aomori, Japan
Shota Kimura
Affiliation:
Graduate School of Health Sciences, Hirosaki University, Hirosaki, Aomori, Japan
Tomoki Koiwa
Affiliation:
Graduate School of Health Sciences, Hirosaki University, Hirosaki, Aomori, Japan
Masato Naraoka
Affiliation:
Hirosaki University, Radiation Emergency Medicine and Cooperation Promotion, Education Center for Disaster and Radiation Emergency Medicine, Hirosaki, Aomori, Japan Advance Emergency and Critical Care Center, Hirosaki University Hospital, Hirosaki, Aomori, Japan
Hiroyuki Hanada
Affiliation:
Advance Emergency and Critical Care Center, Hirosaki University Hospital, Hirosaki, Aomori, Japan
Kanako Yamanouchi
Affiliation:
Graduate School of Health Sciences, Hirosaki University, Hirosaki, Aomori, Japan
Ikuo Kashiwakura
Affiliation:
Hirosaki University, Radiation Emergency Medicine and Cooperation Promotion, Education Center for Disaster and Radiation Emergency Medicine, Hirosaki, Aomori, Japan
Katsuhiro Ito*
Affiliation:
Hirosaki University, Radiation Emergency Medicine and Cooperation Promotion, Education Center for Disaster and Radiation Emergency Medicine, Hirosaki, Aomori, Japan
*
Corresponding author: Katsuhiro Ito; Email: [email protected].
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Abstract

Objective:

In the event of a disaster, the chain of command and communication of each relevant agency is important. In this study, a chronological record creation system using voice AI (V-CRS) was developed, and an experiment was conducted to determine whether the obtained information could be quickly and easily summarized in chronological order.

Methods:

After a lecture by Japanese Disaster Medical Assistant (DMAT) Team members and 8 medical clerks on how to use the developed tool, a comparison experiment was conducted between manual input and V-CRS utilization of the time to compile disaster information.

Results:

Results proved that V-CRS can collect information gathered at headquarters more quickly than handwriting. It was also suggested that even medical clerks who have never been trained to record information during disasters could record information at the same speed as trained DMAT personnel.

Conclusion:

V-CRS can transcribe audio information even in situations where technical terms and physical units must be recorded, such as radiation disasters. It has been proven that anyone can quickly organize information using this method, to some extent.

Keywords

communicationdecision makingorganizationaldisaster medicineemergency preparednessemergency responders
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 17 , 2023 , e560
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc

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