@inproceedings{7b5c7eed0b68414f9f3b8e9170617446,
title = "Information capturing in pre-hospital emergency medical settings (EMS)",
abstract = "Emergency medical situations are characterized by high physical, cognitive and mental demands on the paramedics on the ground. Studies suggest that crucial information such as treatments administered to patients is often documented retrospectively, during patient transport or once a patient is handed over to an emergency department. Information access may also be surprisingly difficult (e.g. patient medical history). In this paper, we focus on supporting in situ information capturing and report on a realistic laboratory-based study involving experienced paramedics that we used to explore the specific requirements and constraints of supporting in situ information capturing. Specifically, we focused on ways to use audio and visual data capture methods and how they need to be designed to better support paramedics without interfering with their work. We then use the resulting information centric perspective to argue for a roadmap towards smart emergency medical services.",
keywords = "Emergency communication, Emergency documentation, Emergency medical service, EMS, Information systems, Paramedics",
author = "Kerstin Denecke and Lea Meier and Bauer, {Jan G.} and Matthias Bender and Christopher Lueg",
note = "Publisher Copyright: {\textcopyright} 2020 European Federation for Medical Informatics (EFMI) and IOS Press.; 30th Medical Informatics Europe Conference, MIE 2020 ; Conference date: 28-04-2020 Through 01-05-2020",
year = "2020",
month = jun,
day = "16",
doi = "10.3233/SHTI200233",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "613--617",
editor = "Pape-Haugaard, {Louise B.} and Christian Lovis and Madsen, {Inge Cort} and Patrick Weber and Nielsen, {Per Hostrup} and Philip Scott",
booktitle = "Digital Personalized Health and Medicine - Proceedings of MIE 2020",
}