Artificial Intelligence for Emergency Medical Service

Author:

Usher Katie1,Park Junho1,Son Changwon2

Affiliation:

1. Santa Clara University, Santa Clara, CA

2. Texas Tech University, Lubbock, TX

Abstract

In this scoping review, the integration of artificial intelligence (AI) and smart technologies within Emergency Medical Services (EMS) is thoroughly examined as a strategy to overcome the inherent challenges faced by EMS personnel. These challenges encompass physical strain, cognitive overload, emotional stress, and issues with trainings. The paper emphasizes the critical role AI can play in resolving physical and cognitive demands, enhancing decision-making processes, optimizing resource allocation, and improving emergency response efficiency. The review identifies and categorizes the primary obstacles within EMS operations. It proposes innovative AI-driven solutions, including the use of exoskeletons for physical support, smart glasses for augmented cognitive assistance, AI systems dedicated to monitoring and supporting emotional health, and the application of virtual reality (VR) and augmented reality (AR) for advanced and realistic training scenarios. The findings suggest that such technological advancements can significantly elevate the operational capacity of EMS, ensuring a higher level of safety and efficiency, while also fostering a supportive environment for EMS personnel and enhancing patient care. This paper contributes a novel perspective to the literature by mapping out a future where AI and smart technologies play a pivotal role in transforming emergency medical services into more effective, resilient, and human-centered operations, ultimately advancing the field towards better preparedness and response capabilities in emergency situations. The potential solutions suggested in this study can be referred to be used for future research topics.

Publisher

SAGE Publications

Reference38 articles.

1. Digital Future of Emergency Medical Services: Envisioning and Usability of Electronic Patient Care Report System

2. The Psychological Challenges of Emergency Medical Service Providers During Disasters: A Mini-Review February 2022

3. Amos Z. (2023). Emergency Services See Improved Response Management Thanks to AI. https://www.unite.ai/emergency-services-see-improved-response-management-thanks-to-ai/

4. Aparna. (2023). Life on the Front Lines: How AI is Reimaging Emergency Medical Services. https://swisscognitive.ch/2023/06/27/life-on-the-front-lines-how-ai-is-reimaging-emergency-medical-services/

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3