Pervasive Information Systems to Intensive Care Medicine - Technology Acceptance Model

Jorge Aguiar, Filipe Portela, Manuel Filipe Santos, José Machado, António Abelha, Álvaro Silva, Fernando Rua, Filipe Pinto

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.

References

  1. Bolboaca, S. D., & Jantschi, L., (2006). Pearson versus Spearman, Kendall's tau correlation analysis on structure-activity relationships of biologic active compounds. Leonardo Journal of Sciences, 5(9), 179- 200.
  2. Chooprayoon, V., & Fung, C. C., (2010). TECTAM: An Approach to Study Technology Acceptance Model (TAM) in Gaining Knowledge on the Adoption and Use of E-Commerce/E-Business Technology among Small and Medium Enterprises in Thailand.
  3. Gago, P., Santos, M. F., Silva, Á., Cortez, P., Neves, J., & Gomes, L., (2006). INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine. Journal of Decision Systems.
  4. Hammer, Ø., Harper, D. A. T., & Ryan, P. D., (2001). PAST-Palaeontological statistics. www. uv. es/ pardomv/pe/2001_1/past/pastprog/past. pdf, acessado em, 25(07), 2009.
  5. Johns, R., (2010). Likert Items and Scales. Survey Question Bank: Methods Fact Sheet, 1.
  6. Orwat, C., Graefe, A., & Faulwasser, T., (2008). Towards pervasive computing in health care - A literature review. [10.1186/1472-6947-8-26]. BMC Medical Informatics and Decision Making, 8(1), 26.
  7. Portela, F., Santos, M., Vilas-Boas, M., Rua, F., Silva, Á., & Neves, J., (2010). Real-time Intelligent decision support in intensive medicine. Paper presented at the KMIS 2010- International Conference on Knowledge Management and Information Sharing.
  8. Portela, F., Santos, M. F., Silva, Á., Machado, J., & Abelha, A., (2011). Enabling a Pervasive approach for Intelligent Decision Support in Critical Health Care. Paper presented at the HCist 2011 - International Workshop on Health and Social Care Information Systems and Technologies.
  9. Saha, D., & Mukherjee, A., (2003). Pervasive computing: a paradigm for the 21st century. [10.1109/MC.2003.1185214]. IEEE Computer, 36(3), 25-31.
  10. Santos, L. D. d., & Amaral, L. (2004). Estudos Delphi com Q-Sort sobre a web: a sua utilização em sistemas de informação.
  11. Santos, M. F., Portela, F., Vilas-Boas, M., Machado, J., Abelha, A., & Neves, J., (2011). INTCARE - Multiagent approach for real-time Intelligent Decision Support in Intensive Medicine. Paper presented at the 3rd International Conference on Agents and Artificial Intelligence (ICAART), Rome, Italy.
  12. Varshney, U., (2009). Pervasive Healthcare Computing: EMR/EHR, Wireless and Health Monitoring: Springer-Verlag New York Inc.
  13. Venkatesh, V., & Bala, H., (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315.
  14. Venkatesh, V., & Davis, F. D., (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 186- 204.
  15. Zackiewicz, M., & Salles Filho, S., (2010). Technological Foresight-Um instrumento para política científica e tecnológica. Parcerias estratégicas, 6(10).
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Paper Citation


in Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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