This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2829) Mobile Health (mhealth) (3162) Clinical Information and Decision Making (1661) Electronic Health Records (1186) Clinical Informatics (1165) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (636)

Published on in Vol 6, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37301, first published .
Experimental Implementation of NSER Mobile App for Efficient Real-Time Sharing of Prehospital Patient Information With Emergency Departments: Interrupted Time-Series Analysis

Experimental Implementation of NSER Mobile App for Efficient Real-Time Sharing of Prehospital Patient Information With Emergency Departments: Interrupted Time-Series Analysis

Experimental Implementation of NSER Mobile App for Efficient Real-Time Sharing of Prehospital Patient Information With Emergency Departments: Interrupted Time-Series Analysis

Authors of this article:

Kiyomitsu Fukaguchi1 Author Orcid Image ;   Tadahiro Goto2 Author Orcid Image ;   Tadatsugu Yamamoto1 Author Orcid Image ;   Hiroshi Yamagami1 Author Orcid Image
Article Authors Cited by (10) Tweetations (12) Metrics

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  2. Okada Y, Mertens M, Liu N, Lam S, Ong M. AI and machine learning in resuscitation: Ongoing research, new concepts, and key challenges. Resuscitation Plus 2023;15:100435 View
  3. Niyonsaba M, Nkeshimana M, Uwitonze J, Davies J, Maine R, Nyinawankusi J, Hunt M, Rickard R, Jayaraman S, Watt M. Challenges and opportunities to improve efficiency and quality of prehospital emergency care using an mHealth platform: Qualitative study in Rwanda. African Journal of Emergency Medicine 2023;13(4):250 View
  4. Soeno S, Liu K, Watanabe S, Sonoo T, Goto T, Shaikh A. Development of novel optical character recognition system to reduce recording time for vital signs and prescriptions: A simulation-based study. PLOS ONE 2024;19(1):e0296319 View
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  6. Tokita A, Nunokawa H, Liu K, Iwamoto Y, Sonoo T, Hara K, Nakajima M, Fukaguchi K, Takeda T, Sanip A, Juzar D, Gurjeet Singh a, Condro L, Tobing M, Abu Hasan M, Nik Abdul Rahman N, Mahisa O, Aviesena Zairinal R, Ramli M, Mohd Nor M, Goto T, Zakaria M. Key challenges in prehospital and emergency care in Indonesia and Malaysia: a survey of frontline clinicians. BMC Research Notes 2024;17(1) View
  7. Kim J, Kim M, Kim H, Kim H, Sung J, Chang H. A Novel Artificial Intelligence–Enhanced Digital Network for Prehospital Emergency Support: Community Intervention Study. Journal of Medical Internet Research 2025;27:e58177 View
  8. Taguchi A, Aso S, Yamagami H, Yasunaga H. Difficult‐to‐transport cases and neurological outcomes of out‐of‐hospital cardiac arrest: A population‐based nationwide study in Japan. Acute Medicine & Surgery 2025;12(1) View

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