Step Towards Pervasive Technology Assessment in Intensive Medicine

Step Towards Pervasive Technology Assessment in Intensive Medicine

Filipe Portela (Universidade do Minho, Braga, Portugal), Manuel Filipe Santos (Universidade do Minho, Braga, Portugal), José Machado (Centro de Ciências e Tecnologias de Computação, Universidade do Minho, Braga, Portugal), António Abelha (Centro de Ciências e Tecnologias de Computação, Universidade do Minho, Braga, Portugal) and Fernando Rua (Intensive Care Unit, Centro Hospitalar do Porto, Porto, Portugal)
Copyright: © 2017 |Pages: 16
DOI: 10.4018/IJRQEH.2017040101
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Abstract

This paper presents the evaluation of a Pervasive Intelligent Decision Support System in Intensive Medicine making use of Technology Acceptance Model 3 (TAM3). Two rounds of questionnaires were distributed and compared. The work is based on a discursive evaluation of a method employed to assess a new and innovative technology (INTCare) using the four constructs of TAM3 and statistical metrics. The paper crosses the TAM3 constructs with INTCare features to produce a questionnaire to provide a better comprehension of the users' intentions. The final results are essential to validate the system and understand the user sensitivity. The paper validates a method to access technologies in critical environments and shows an example of how a questionnaire can be developed based on TAM3. It also proves the viability of using this method and advises that two rounds of questionnaires should be performed if we want to have better evidence on user satisfaction.
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Background

Intensive Care Units

Intensive Care Units (ICU) are a specialized hospital unit where intensive medicine treatments are applied. Intensive Medicine is concerned with the treatment of patients with complex problems. ICU is reserved to a patient in critical conditions with the failure of one or more organ systems according to Sequential Organ Failure Assessment (SOFA): cardiovascular, neurologic, hepatic, renal, respiratory and coagulation. The ICU professionals (nurses and physicians) work under constant pressure because they deal with human lives in critical condition.

The intensivists attest that the Decision Making Process (DMP) in this ICU is a vital process because it can save human lives. A wrong decision can result in a non-return situation to the patient. The decision needs to be made quickly and with a high level of accuracy. Currently, the decisions are based on the human knowledge due to the low number of existing decision support systems in the ICUs. INTCare brings a new technology able to support the DMP in real-time.

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