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George Mason University

Integrating Telemedicine For Disaster Response: Testing The Emergency Telemedicine Technology Acceptance Model

Abstract

There is little evidence that technology acceptance is well understood in healthcare. The hospital environment is complex and dynamic creating a challenge when new technology is introduced because it impacts current processes and workflows which can significantly affect patient care delivery and outcomes. This study tested the effect of the Emergency Telemedicine Technology Acceptance Model (ETTAM) to predict technology acceptance scores. Managing surge capacity, a sudden increase of severely injured patients during a disaster, is a critical global issue. Mobile telemedicine was introduced into emergency departments in multiple hospital systems for activation during a simulated mass casualty incident (MCI) to leverage clinical expertise and to manage surge capacity. The success of this program was dependent on the user's acceptance of the technology. The Simulation Telemedicine Acceptance Tool (STAT) was adapted to measure technology acceptance scores.

Author and committee

dc:creator, dc:contributor.*
Author
  • Davis, Theresa Marie

Subjects

dc:subject × 9

Identifiers

dc:identifier.*
Identifier
hdl:1920/8353
OAI identifier oai:identifier
oai:MARS:1920/8353

Chain of custody

source
Harvested from
George Mason University
Base URL
mars.gmu.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Davis, Theresa Marie. Integrating Telemedicine For Disaster Response: Testing The Emergency Telemedicine Technology Acceptance Model. 2013.