Technology commitment of emergency medical service practitioners and dispatchers-Reference-Cited by-同舟云学术

Technology commitment of emergency medical service practitioners and dispatchers

Published:2023-08-02 Issue:3 Volume:13 Page:59-67
ISSN:2052-4889
Container-title:International Paramedic Practice
language:en
Short-container-title:International Paramedic Practice

Author:

Elsenbast Christian¹,Hagemann Vera²

Affiliation:

1. Research fellow, PhD candidate, Fraunhofer-Institute for Experimental Software Engineering, Digital Healthcare Research Programme, Kaiserslautern Germany, University of Bremen, Business Psychology and Human Resource Management, Faculty of Business Studies and Economics, Bremen, Germany

2. Dean of the Department of Business and Economics, Professor of Business Psychology and Human Resource Management, University of Bremen, Business Psychology and Human Resource Management, Faculty of Business Studies and Economics, Bremen, Germany

Abstract

Background Digitalization and artificial intelligence (AI) have entered the emergency medical service (EMS). Successful use of them depends on employees’ personal attitudes towards modern technology and its use. Aims This study explored the technology commitment of EMS professionals, dispatchers and emergency physicians, including towards AI systems. Methods To assess attitudes in the context of AI systems in EMS, employees were asked to answer an online questionnaire between October 2021 and March 2022. Findings A total of 510 participants, including 184 EMS professionals, 199 dispatchers and 68 emergency physicians, participated. These professionals had moderate to high technology commitment values with minor differences. Technology commitment correlated negatively with age. Gender had no effect. Conclusion The EMS provides fertile ground for AI systems. It is important to keep in mind that people with uncertainties and reservations need support. The scales in the questionnaire proved to be reliable and valid.

Publisher

Mark Allen Group

Subject

General Medicine

Link

http://www.magonlinelibrary.com/doi/pdf/10.12968/ippr.2023.13.3.59

Reference20 articles.

1. Age differences in perceptions of online community participation among non-users: An extension of the Technology Acceptance Model

2. Complex Problem Solving: What It Is and What It Is Not