2013
Pontes, G.; Portela, C. F.; Rodrigues, R.; Santos, M. F.; Neves, J.; Abelha, A.; Machado, J.
Modeling intelligent agents to integrate a patient monitoring system Proceedings Article
Em: pp. 139-146, Springer Verlag, Salamanca, 2013, ISSN: 21945357, (cited By 5; Conference of 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2013 ; Conference Date: 22 May 2013 Through 24 May 2013; Conference Code:98887).
Resumo | Links | BibTeX | Etiquetas: Ambient intelligence; Communication process; Critical environment; Intelligent decision support systems; Intelligent multi agent systems; Medical informatics; Patient management; Patient monitoring systems, Communication; Decision support systems; Intelligent systems; Intensive care units; Interoperability; Multi agent systems; Patient monitoring; Radio frequency identification (RFID), Intelligent agents
@inproceedings{Pontes2013139,
title = {Modeling intelligent agents to integrate a patient monitoring system},
author = {G. Pontes and C. F. Portela and R. Rodrigues and M. F. Santos and J. Neves and A. Abelha and J. Machado},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883036211&doi=10.1007%2f978-3-319-00563-8_17&partnerID=40&md5=ab0b5a4ebfbace91c91c0a7c76af113f},
doi = {10.1007/978-3-319-00563-8_17},
issn = {21945357},
year = {2013},
date = {2013-01-01},
journal = {Advances in Intelligent Systems and Computing},
volume = {221},
pages = {139-146},
publisher = {Springer Verlag},
address = {Salamanca},
abstract = {ICU units are a good environment for the application of intelligent systems in the healthcare arena, due to its critical environment that require diagnose, monitor and treatment of patients with serious illnesses. An intelligent decision support system - INTCare, was developed and tested in CHP, a hospital in Oporto, Portugal. The need to detect the presence or absence of the patient in bed, in order to stop the collection of redundant data concerning about the patient vital status led to the development of an RFID locating and monitoring system - PaLMS, able to uniquely and unambiguously identify a patient and perceive its presence in bed in an ubiquitous manner, making the process of data collection and alert event more accurate. An intelligent multi-agent system for integration of PaLMS in the hospital's platform for interoperability (AIDA) was also developed, using the characteristics of intelligent agents for the communication process between the RFID equipment, the INTCare module and the Patient Management System, using the HL7 standard embedded in agent behaviours. © Springer International Publishing Switzerland 2013.},
note = {cited By 5; Conference of 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2013 ; Conference Date: 22 May 2013 Through 24 May 2013; Conference Code:98887},
keywords = {Ambient intelligence; Communication process; Critical environment; Intelligent decision support systems; Intelligent multi agent systems; Medical informatics; Patient management; Patient monitoring systems, Communication; Decision support systems; Intelligent systems; Intensive care units; Interoperability; Multi agent systems; Patient monitoring; Radio frequency identification (RFID), Intelligent agents},
pubstate = {published},
tppubtype = {inproceedings}
}
ICU units are a good environment for the application of intelligent systems in the healthcare arena, due to its critical environment that require diagnose, monitor and treatment of patients with serious illnesses. An intelligent decision support system - INTCare, was developed and tested in CHP, a hospital in Oporto, Portugal. The need to detect the presence or absence of the patient in bed, in order to stop the collection of redundant data concerning about the patient vital status led to the development of an RFID locating and monitoring system - PaLMS, able to uniquely and unambiguously identify a patient and perceive its presence in bed in an ubiquitous manner, making the process of data collection and alert event more accurate. An intelligent multi-agent system for integration of PaLMS in the hospital's platform for interoperability (AIDA) was also developed, using the characteristics of intelligent agents for the communication process between the RFID equipment, the INTCare module and the Patient Management System, using the HL7 standard embedded in agent behaviours. © Springer International Publishing Switzerland 2013.
2011
Pontes, G.; Duarte, A.; Cuevas, D.; Salazar, M.; Miranda, M.; Abelha, A.; MacHado, J.
A moral decision support system in medicine Proceedings Article
Em: pp. 387-391, EUROSIS, Guimaraes, 2011, (cited By 0; Conference of 25th European Simulation and Modelling Conference, ESM 2011 ; Conference Date: 24 October 2011 Through 26 October 2011; Conference Code:104378).
Resumo | Links | BibTeX | Etiquetas: Artificial intelligence; Computer simulation; Decision support systems; Intensive care units; Modal analysis; Philosophical aspects; Population statistics, Critical factors; Decision process; Financial costs; Intelligent decisions; Moral agents; Moral reasoning; Reasoning; Reasoning process, Intelligent agents
@inproceedings{Pontes2011387,
title = {A moral decision support system in medicine},
author = {G. Pontes and A. Duarte and D. Cuevas and M. Salazar and M. Miranda and A. Abelha and J. MacHado},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898934013&partnerID=40&md5=fb0fc9618ae5bd3915813350f0a2f8df},
year = {2011},
date = {2011-01-01},
journal = {ESM 2011 - 2011 European Simulation and Modelling Conference: Modelling and Simulation 2011},
pages = {387-391},
publisher = {EUROSIS},
address = {Guimaraes},
abstract = {Intensive Care Units are, in hospitals, special units where the use of ethics is common. Usually, there are few available beds and financial costs arc huge. In this paper, it is presented a model for the simulation of the allocation of resources, in an Intensive Care Unit. Since it is a problem that deals with human life, decisions must be supported by a sound reasoning process in order to cause the minimum damage. Therefore, it is important to introduce the concept of ethics and moral reasoning, in particular taking the maximum advantage of moral agents, which are entities capable of making intelligent decisions based on moral guidelines. These entities have also an intelligent behaviour, simulating a physician conduct when there is an overcrowding of patients in the Unit. The decision process is carried out based on the computation of some critical factors, including a death rate, the survival quality and financial costs. The death rate is achieved using SAPS3 algorithm. ©2011 EUROSIS-ETI.},
note = {cited By 0; Conference of 25th European Simulation and Modelling Conference, ESM 2011 ; Conference Date: 24 October 2011 Through 26 October 2011; Conference Code:104378},
keywords = {Artificial intelligence; Computer simulation; Decision support systems; Intensive care units; Modal analysis; Philosophical aspects; Population statistics, Critical factors; Decision process; Financial costs; Intelligent decisions; Moral agents; Moral reasoning; Reasoning; Reasoning process, Intelligent agents},
pubstate = {published},
tppubtype = {inproceedings}
}
Intensive Care Units are, in hospitals, special units where the use of ethics is common. Usually, there are few available beds and financial costs arc huge. In this paper, it is presented a model for the simulation of the allocation of resources, in an Intensive Care Unit. Since it is a problem that deals with human life, decisions must be supported by a sound reasoning process in order to cause the minimum damage. Therefore, it is important to introduce the concept of ethics and moral reasoning, in particular taking the maximum advantage of moral agents, which are entities capable of making intelligent decisions based on moral guidelines. These entities have also an intelligent behaviour, simulating a physician conduct when there is an overcrowding of patients in the Unit. The decision process is carried out based on the computation of some critical factors, including a death rate, the survival quality and financial costs. The death rate is achieved using SAPS3 algorithm. ©2011 EUROSIS-ETI.
2007
Costa, R.; Neves, J.; Novais, P.; Machado, J.; Lima, L.; Alberto, C.
Intelligent mixed reality for the creation of ambient assisted living Proceedings Article
Em: pp. 323-331, Springer Verlag, Guimaraes, 2007, ISSN: 03029743, (cited By 20; Conference of 13th Portuguese Conference on Artificial Intelligence, EPIA 2007 Workshops ; Conference Date: 3 December 2007 Through 7 December 2007; Conference Code:71232).
Resumo | Links | BibTeX | Etiquetas: Ambient assisted living; Ambient intelligence; Collaborative networks; Exponential growth, Decision trees; Health care; Information systems; Patient monitoring; Social aspects; Virtual reality, Intelligent agents
@inproceedings{Costa2007323,
title = {Intelligent mixed reality for the creation of ambient assisted living},
author = {R. Costa and J. Neves and P. Novais and J. Machado and L. Lima and C. Alberto},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-38349054346&doi=10.1007%2f978-3-540-77002-2_27&partnerID=40&md5=c898b11a127b0edf983079732f8279b2},
doi = {10.1007/978-3-540-77002-2_27},
issn = {03029743},
year = {2007},
date = {2007-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {4874 LNAI},
pages = {323-331},
publisher = {Springer Verlag},
address = {Guimaraes},
abstract = {Demographical and social changes have an enormous effect on health care, emergency and welfare services. Indeed, as the average age continues to rise, it is set the mood to an exponential growth in assistance and care, resulting in higher service costs, a decrease in quality of service, or even both. On the other hand, as part of the evolution of traditional Virtual Reality Environments (or Intelligent Mixed Reality), a striving expression for Ambient Intelligence (Ami) it is possible to outline the role of AmI in healthcare, by focusing on its technological, logical (relational) and common sense nature. Our goal is to have in place an electronically-based monitoring system. This would reduce response time to adverse events, improve analytics and reporting, and will provide caregivers with the information they need to positively impact the care of individual patients. © Springer-Verlag Berlin Heidelberg 2007.},
note = {cited By 20; Conference of 13th Portuguese Conference on Artificial Intelligence, EPIA 2007 Workshops ; Conference Date: 3 December 2007 Through 7 December 2007; Conference Code:71232},
keywords = {Ambient assisted living; Ambient intelligence; Collaborative networks; Exponential growth, Decision trees; Health care; Information systems; Patient monitoring; Social aspects; Virtual reality, Intelligent agents},
pubstate = {published},
tppubtype = {inproceedings}
}
Demographical and social changes have an enormous effect on health care, emergency and welfare services. Indeed, as the average age continues to rise, it is set the mood to an exponential growth in assistance and care, resulting in higher service costs, a decrease in quality of service, or even both. On the other hand, as part of the evolution of traditional Virtual Reality Environments (or Intelligent Mixed Reality), a striving expression for Ambient Intelligence (Ami) it is possible to outline the role of AmI in healthcare, by focusing on its technological, logical (relational) and common sense nature. Our goal is to have in place an electronically-based monitoring system. This would reduce response time to adverse events, improve analytics and reporting, and will provide caregivers with the information they need to positively impact the care of individual patients. © Springer-Verlag Berlin Heidelberg 2007.