2015
Braga, A.; Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.; Silva, Á.; Rua, F.
Step Towards a Patient Timeline in Intensive Care Units Proceedings Article
Em: V.J., Cruz-Cunha M. M. Eduardo (Ed.): pp. 618-625, Elsevier B.V., 2015, ISSN: 18770509, (cited By 4; Conference of Conference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, CENTERIS 2015 ; Conference Date: 7 October 2015 Through 9 October 2015; Conference Code:123098).
Resumo | Links | BibTeX | Etiquetas: Clinical history; INTCare; Medical history; Medical information; Patient Timeline; Patient-centered; Patients' conditions; Presenting informations, Information management, Information systems; Information use; Intensive care units; Project management
@inproceedings{Braga2015618,
title = {Step Towards a Patient Timeline in Intensive Care Units},
author = {A. Braga and F. Portela and M. F. Santos and J. Machado and A. Abelha and Á. Silva and F. Rua},
editor = {Cruz-Cunha M. M. Eduardo V.J.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962786835&doi=10.1016%2fj.procs.2015.08.575&partnerID=40&md5=de7870befb4e0ea572d09fd2c91f020e},
doi = {10.1016/j.procs.2015.08.575},
issn = {18770509},
year = {2015},
date = {2015-01-01},
journal = {Procedia Computer Science},
volume = {64},
pages = {618-625},
publisher = {Elsevier B.V.},
abstract = {In Intensive Medicine, the presentation of medical information is done in many ways, depending on the type of data collected and stored. The way in which the information is presented can make it difficult for intensivists to quickly understand the patient's condition. When there is the need to cross between several types of clinical data sources the situation is even worse. This research seeks to explore a new way of presenting information about patients, based on the timeframe in which events occur. By developing an interactive Patient Timeline, intensivists will have access to a new environment in real-time where they can consult the patient clinical history and the data collected until the moment. The medical history will be available from the moment in which patients is admitted in the ICU until discharge, allowing intensivist to examine data regarding vital signs, medication, exams, among others. This timeline also intends to, through the use of information and models produced by the INTCare system, combine several clinical data in order to help diagnose the future patients' conditions. This platform will help intensivists to make more accurate decision. This paper presents the first approach of the solution designed. © 2015 The Authors. Published by Elsevier B.V.},
note = {cited By 4; Conference of Conference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, CENTERIS 2015 ; Conference Date: 7 October 2015 Through 9 October 2015; Conference Code:123098},
keywords = {Clinical history; INTCare; Medical history; Medical information; Patient Timeline; Patient-centered; Patients' conditions; Presenting informations, Information management, Information systems; Information use; Intensive care units; Project management},
pubstate = {published},
tppubtype = {inproceedings}
}
In Intensive Medicine, the presentation of medical information is done in many ways, depending on the type of data collected and stored. The way in which the information is presented can make it difficult for intensivists to quickly understand the patient's condition. When there is the need to cross between several types of clinical data sources the situation is even worse. This research seeks to explore a new way of presenting information about patients, based on the timeframe in which events occur. By developing an interactive Patient Timeline, intensivists will have access to a new environment in real-time where they can consult the patient clinical history and the data collected until the moment. The medical history will be available from the moment in which patients is admitted in the ICU until discharge, allowing intensivist to examine data regarding vital signs, medication, exams, among others. This timeline also intends to, through the use of information and models produced by the INTCare system, combine several clinical data in order to help diagnose the future patients' conditions. This platform will help intensivists to make more accurate decision. This paper presents the first approach of the solution designed. © 2015 The Authors. Published by Elsevier B.V.