Hostname: page-component-848d4c4894-5nwft Total loading time: 0 Render date: 2024-05-29T02:29:53.331Z Has data issue: false hasContentIssue false
  • English
  • Français

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: itohkcck@nifty.com.
Get access Rights & Permissions [Opens in a new window]

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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Major Incident Medical Management and Support, Advanced Life Support Group. The Practical Approach at the Scene. 3rd eds. Blackwell Publishing Ltd; 2012.Google Scholar
Nakamura, I, Mori, Y, Fukuda, M. Problems of communications and information system in disaster medicine. J Disaster Info Stu. 2006;4:72-82. (In Japanese with English abstract). doi: 10.24709/jasdis.4.0_72 Google Scholar
Tsuboi, M, Hibiya, M, Tsuboi, R, et al. Analysis of disaster-related deaths in the Great East Japan Earthquake: a retrospective observational study using data from Ishinomaki City, Miyagi, Japan. Int J Environ Res Public Health. 2022;19(7):4087.CrossRefGoogle ScholarPubMed
Yamanouchi, S, Sasaki, H, Kondo, H, et al. Survey of preventable disaster deaths at medical institutions in areas affected by the Great East Japan Earthquake: retrospective survey of medical institutions in Miyagi Prefecture. Prehosp Disaster Med. 2017;32:515-522.CrossRefGoogle ScholarPubMed
Japan Reconstruction Agency. Disaster-related deaths in the Great East Japan Earthquake. Published June 30, 2021. https://www.reconstruction.go.jp/topics/main-cat2/sub-cat2-6/20210630_kanrenshi.pdf. Accessed May 1, 2023.Google Scholar
Akashi, M, Kumagaya, K, Kondo, H, et al. Concerns of Disaster Medical Assistance Team (DMAT) members about troubles at the nuclear power plant: experience from the Niigata Chuetsu-Oki earthquake, 16 July 2007, in Japan. Health Phys. 2010;98(6):804-9.CrossRefGoogle ScholarPubMed
Kitsuta, Y, Sugiyama, M. Major incident medical management in the United Kingdom. Acute Med Surg. 2000;11(11):627-35. doi: 10.3893/jjaam.11.627 Google Scholar
Anan, H, Akasaka, O, Kondo, H, et al. Experience from the Great East Japan Earthquake response as the basis for revising the Japanese Disaster Medical Assistance Team (DMAT) training program. Disaster Med Public Health Prep. 2014;8(6):477-84.CrossRefGoogle ScholarPubMed
Tanioka, T, Okuyama, M, Nagai, H, et al. Student independent volunteer activities in university hospital disaster training (In Japanese with English abstract). J J Disast Med. 2022;27(2):136-141.Google Scholar
Takahashi, Y, Saito, T, Atsumi, T, et al. Summary of support to welfare facilities where COVID-19 clusters occurred in western Shizuoka Prefecture (In Japanese). J J Disast Med. 2022;27(spl):91-94.Google Scholar
Tsujiguchi, T, Mikami, J, Sakamoto, M, et al. Report on “nuclear emergency medical basic training” at Advanced Radiation Emergency Medical Support Center: case report of Hirosaki University (In Japanese with English abstract). J J Radiol Nursing. 2021;9(1):14-19. doi: 10.24680/rnsj.09005 Google Scholar
Takahashi, A. Medical gases (in Japanese). Disaster Medical System for Tokyo Inland Earthquake. 2018;20(1):31-34. doi: 10.32263/medicalgases.20.1_31 Google Scholar
Shimoto, M, Cho, K, Kurata, M, et al. Hospital evacuation implications after the 2016 Kumamoto Earthquake. Disaster Med Public Health Prep. 2022;13;1-3.Google Scholar
Motomura, T, Hirabayashi, A, Matsumoto, H, et al. Aeromedical transport operations using helicopters during the 2016 Kumamoto Earthquake in Japan. J Nippon Med Sch. 2018;85(2):124-130.CrossRefGoogle ScholarPubMed
Nakajima, Y. A trial on an evaluation method for hands-on training to acquire tips for information management necessary for continuing medical care at disaster-stricken facilities (In Japanese). J J Disast Med. 2023;28:1-4.Google Scholar