{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T05:40:41Z","timestamp":1654148441944},"reference-count":23,"publisher":"IGI Global","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,10,1]]},"abstract":"<p>Nowadays, it is increasingly important to utilize intelligent systems to support the decision making process (DMP) in challenging areas such as Intensive Medicine. In Intensive Care Units (ICU), some of the biggest challenges relate both to the number and the different types of available data sources. Even though in such a setting the values for some variables are easy to collect, data collection is still performed manually in particular instances. In order to improve the DMP in ICU, a Pervasive Intelligent Decision Support System, called INTCare was deployed in the ICU of Centro Hospitalar do Porto in Portugal. This system altered the way information is collected and presented. Moreover, the tracking system deployed as a specific module of INTCare \u2013 Electronic Nursing Record (ENR) is made accessible anywhere and anytime. The system allows for the calculation of the critical events regarding five variables that are typically monitored in an ICU. Specifically, the INTCare tracking system characterizes a grid that shows the events by type and duration, empowers a warning system to alert the doctors and promotes intuitive graphics that allow care providers to follow the patient care journey. User acceptance was measured through a questionnaire designed in accordance with the Technology Acceptance Model (TAM) and results of implementing the INTCare tracking system, and its interface are reported.<\/p>","DOI":"10.4018\/ijhisi.2013100101","type":"journal-article","created":{"date-parts":[[2014,3,11]],"date-time":"2014-03-11T18:00:02Z","timestamp":1394560802000},"page":"1-16","source":"Crossref","is-referenced-by-count":10,"title":["Implementing a Pervasive Real-Time Intelligent System for Tracking Critical Events with Intensive Care Patients"],"prefix":"10.4018","volume":"8","author":[{"given":"Filipe","family":"Portela","sequence":"first","affiliation":[{"name":"Centro Algoritmi, Universidade do Minho, Guimar\u00e3es, Portugal"}]},{"given":"Pedro","family":"Gago","sequence":"additional","affiliation":[{"name":"CIIC - Centro de Investiga\u00e7\u00e3o em Inform\u00e1tica e Comunica\u00e7\u00f5es, Instituto Polit\u00e9cnico de Leiria, Leiria, Portugal"}]},{"given":"Manuel Filipe","family":"Santos","sequence":"additional","affiliation":[{"name":"Centro Algoritmi, Universidade do Minho, Guimar\u00e3es, Portugal"}]},{"given":"Jos\u00e9","family":"Machado","sequence":"additional","affiliation":[{"name":"Centro de Ci\u00eancias e Tecnologias de Computa\u00e7\u00e3o, Universidade do Minho, Braga, Portugal"}]},{"given":"Ant\u00f3nio","family":"Abelha","sequence":"additional","affiliation":[{"name":"Centro de Ci\u00eancias e Tecnologias de Computa\u00e7\u00e3o, Universidade do Minho, Braga, Portugal"}]},{"given":"\u00c1lvaro","family":"Silva","sequence":"additional","affiliation":[{"name":"Unidade de Cuidados Intensivos, Centro Hospitalar do Porto, Hospital Santo Ant\u00f3nio, Porto, Portugal"}]},{"given":"Fernando","family":"Rua","sequence":"additional","affiliation":[{"name":"Unidade de Cuidados Intensivos, Centro Hospitalar do Porto, Hospital Santo Ant\u00f3nio, Porto, Portugal"}]}],"member":"2432","reference":[{"key":"ijhisi.2013100101-0","doi-asserted-by":"crossref","unstructured":"Bricon-Souf, N., & Newman, C. 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