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

mHealth in a Clinical Setting (581) New Methods (909)

Published on in Vol 3, No 1 (2015): Jan-Mar

An Effective Support System of Emergency Medical Services With Tablet Computers

An Effective Support System of Emergency Medical Services With Tablet Computers

An Effective Support System of Emergency Medical Services With Tablet Computers

Authors of this article:

Kosuke C Yamada1 Author Orcid Image ;   Satoshi Inoue1 Author Orcid Image ;   Yuichiro Sakamoto2 Author Orcid Image
Article Authors Cited by (17) Tweetations (3) Metrics

Journals

  1. Synnot A, Karlsson A, Brichko L, Chee M, Fitzgerald M, Misra M, Howard T, Mathew J, Rotter T, Fiander M, Gruen R, Gupta A, Dharap S, Fahey M, Stephenson M, O'Reilly G, Cameron P, Mitra B. Prehospital notification for major trauma patients requiring emergency hospital transport: A systematic review. Journal of Evidence-Based Medicine 2017;10(3):212 View
  2. Valenzuela Espinoza A, Devos S, van Hooff R, Fobelets M, Dupont A, Moens M, Hubloue I, Lauwaert D, Cornu P, Brouns R, Putman K. Time Gain Needed for In-Ambulance Telemedicine: Cost-Utility Model. JMIR mHealth and uHealth 2017;5(11):e175 View
  3. Utku S, Özcanhan M, Unluturk M. Automated personnel-assets-consumables-drug tracking in ambulance services for more effective and efficient medical emergency interventions. Computer Methods and Programs in Biomedicine 2016;127:216 View
  4. Higashi H, Takaku R, Yamaoka A, Lefor A, Shiga T, Cheungpasitporn W. The Dedicated Emergency Physician Model of emergency care is associated with reduced pre-hospital transportation time: A retrospective study with a nationwide database in Japan. PLOS ONE 2019;14(4):e0215231 View
  5. Abaza H, Marschollek M. mHealth Application Areas and Technology Combinations. Methods of Information in Medicine 2017;56(S 01):e105 View
  6. Turner A, Choi Y, Dew K, Tsai M, Bosold A, Wu S, Smith D, Meischke H. Evaluating the Usefulness of Translation Technologies for Emergency Response Communication: A Scenario-Based Study. JMIR Public Health and Surveillance 2019;5(1):e11171 View
  7. Plaza Roncero A, Marques G, Sainz-De-Abajo B, Martín-Rodríguez F, del Pozo Vegas C, Garcia-Zapirain B, de la Torre-Díez I. Mobile Health Apps for Medical Emergencies: Systematic Review. JMIR mHealth and uHealth 2020;8(12):e18513 View
  8. Afzali F, Jahani Y, Bagheri F, khajouei R. The impact of the emergency medical services (EMS) automation system on patient care process and user workflow. BMC Medical Informatics and Decision Making 2021;21(1) View
  9. 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
  10. Hanaki N, Yamashita K, Kunisawa S, Imanaka Y. Effect of the number of request calls on the time from call to hospital arrival: a cross-sectional study of an ambulance record database in Nara prefecture, Japan. BMJ Open 2016;6(12):e012194 View
  11. Horiguchi M, Tanaka H, Takyu H, Ueta H, Sagisaka R. Effects of the COVID-19 pandemic and the introduction of information and communication technology in emergency scenes on the emergency transport environment in Japan. Journal of EMS Medicine 2024;3(2):45 View

Books/Policy Documents

  1. Metelmann B, Metelmann C. M-Health Innovations for Patient-Centered Care. View
  2. Metelmann B, Metelmann C. Mobile Health Applications for Quality Healthcare Delivery. View
  3. Sariyer G, Ataman M. Current and Emerging mHealth Technologies. View
  4. Metelmann B, Metelmann C. Virtual and Mobile Healthcare. View
  5. Niwa M, Hara Y. Mobile Health (mHealth). View