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Authors: Jorge Aguiar 1 ; Filipe Portela 1 ; Manuel Filipe Santos 1 ; José Machado 1 ; António Abelha 1 ; Álvaro Silva 2 ; Fernando Rua 2 and Filipe Pinto 3

Affiliations: 1 University of Minho, Portugal ; 2 Centro Hospitalar do Porto, Portugal ; 3 Instituto Politécnico de Leiria, Portugal

ISBN: 978-989-8565-59-4

Keyword(s): Information Systems, Technology Acceptance Model, Delphi, Intensive Care.

Related Ontology Subjects/Areas/Topics: Databases and Information Systems Integration ; Enterprise Information Systems ; HCI on Enterprise Information Systems ; Human-Computer Interaction ; Information Systems Analysis and Specification ; Performance Evaluation and Benchmarking ; Software Metrics and Measurement

Abstract: The usability of information systems in critical environments like Intensive Care Units (ICU) is far than the expected and desirable. Typically, ICUs have a set of not integrated information silos and a high number of data recorded in paper. Whenever ICU professionals need to make a decision they have to deal with a high number of data sources containing useful information. Unfortunately, they can't use those sources due to the difficulty of evaluating them in a correct time. Pervasive Intelligent Decision Support Systems (PIDSS), operating automatically and in real-time, can be used to improve the decision making if they are suited to the requirements of the ICU. In this work a PIDSS have been assessed in terms of quality and user acceptance making use of Technology Acceptance Model (TAM). TAM proved to be very useful when combined with Delphi method features to involve the professionals and to make the system usable.

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Paper citation in several formats:
Aguiar, J.; Portela, F.; Santos, M.; Machado, J.; Abelha, A.; Silva, Á.; Rua, F. and Pinto, F. (2013). Pervasive Information Systems to Intensive Care Medicine - Technology Acceptance Model.In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 177-184. DOI: 10.5220/0004441001770184

@conference{iceis13,
author={Jorge Aguiar. and Filipe Portela. and Manuel Filipe Santos. and José Machado. and António Abelha. and Álvaro Silva. and Fernando Rua. and Filipe Pinto.},
title={Pervasive Information Systems to Intensive Care Medicine - Technology Acceptance Model},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={177-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004441001770184},
isbn={978-989-8565-59-4},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Pervasive Information Systems to Intensive Care Medicine - Technology Acceptance Model
SN - 978-989-8565-59-4
AU - Aguiar, J.
AU - Portela, F.
AU - Santos, M.
AU - Machado, J.
AU - Abelha, A.
AU - Silva, Á.
AU - Rua, F.
AU - Pinto, F.
PY - 2013
SP - 177
EP - 184
DO - 10.5220/0004441001770184

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