2020
Faria, S.; Oliveira, D.; Abelha, A.; Machado, J.
Intelligent support system for the provision of inpatient care Proceedings Article
Em: A., Montenegro Marin C. E. Ferras C. Rocha (Ed.): pp. 364-374, Springer, 2020, ISSN: 21945357, (cited By 0; Conference of International Conference on Information Technology and Systems, ICITS 2020 ; Conference Date: 5 February 2020 Through 7 February 2020; Conference Code:236869).
Resumo | Links | BibTeX | Etiquetas: Clinical decision support systems; Health facilities; Health professionals; Healthcare environments; Intelligent support; Irreversible damage; Support systems; Surgical procedures, Decision support systems; Health care; Intelligent agents; Intelligent systems; Multi agent systems; Patient treatment, Medical information systems
@inproceedings{Faria2020364,
title = {Intelligent support system for the provision of inpatient care},
author = {S. Faria and D. Oliveira and A. Abelha and J. Machado},
editor = {Montenegro Marin C. E. Ferras C. Rocha A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080957489&doi=10.1007%2f978-3-030-40690-5_36&partnerID=40&md5=a95340e25e84258ad28a4bdcb78eac48},
doi = {10.1007/978-3-030-40690-5_36},
issn = {21945357},
year = {2020},
date = {2020-01-01},
journal = {Advances in Intelligent Systems and Computing},
volume = {1137 AISC},
pages = {364-374},
publisher = {Springer},
abstract = {Inpatient care is seen as a rigorous healthcare environment, as several daily tasks are performed to provide adequate treatment to inpatients and a minor flaw in these tasks may result in irreversible damage to patients. It is therefore required that the information related to the patient is always updated and available to all health professionals. Thus, comes up the motivation of the project described in this paper, which presents an intelligent system to support the practice of inpatient healthcare through a Web platform that allows the monitoring of patients admitted to a health facility. Thus, the developed system culminates in an application where all relevant information is gathered to monitor the different hospitalization episodes, presenting this information in a simplistic and intuitive way and alerting the professionals to the occurrence of events related to medical exams and analysis, surgical procedures, among others. This paper presents the architecture, the requirements and a SWOT analysis of the solution proposed, the main conclusions and a proposed future work. © Springer Nature Switzerland AG 2020.},
note = {cited By 0; Conference of International Conference on Information Technology and Systems, ICITS 2020 ; Conference Date: 5 February 2020 Through 7 February 2020; Conference Code:236869},
keywords = {Clinical decision support systems; Health facilities; Health professionals; Healthcare environments; Intelligent support; Irreversible damage; Support systems; Surgical procedures, Decision support systems; Health care; Intelligent agents; Intelligent systems; Multi agent systems; Patient treatment, Medical information systems},
pubstate = {published},
tppubtype = {inproceedings}
}
Inpatient care is seen as a rigorous healthcare environment, as several daily tasks are performed to provide adequate treatment to inpatients and a minor flaw in these tasks may result in irreversible damage to patients. It is therefore required that the information related to the patient is always updated and available to all health professionals. Thus, comes up the motivation of the project described in this paper, which presents an intelligent system to support the practice of inpatient healthcare through a Web platform that allows the monitoring of patients admitted to a health facility. Thus, the developed system culminates in an application where all relevant information is gathered to monitor the different hospitalization episodes, presenting this information in a simplistic and intuitive way and alerting the professionals to the occurrence of events related to medical exams and analysis, surgical procedures, among others. This paper presents the architecture, the requirements and a SWOT analysis of the solution proposed, the main conclusions and a proposed future work. © Springer Nature Switzerland AG 2020.