2018
Prata, M.; Peixoto, H.; MacHado, J.; Abelha, A.
Data mining in urgency department: Medical specialty discharge prediction Proceedings Article
Em: J., Guerra H. Gomes L. M. Machado (Ed.): pp. 28-35, EUROSIS, 2018, ISBN: 9789492859037, (cited By 2; Conference of 16th International Industrial Simulation Conference, ISC 2018 ; Conference Date: 6 June 2018 Through 8 June 2018; Conference Code:137024).
Resumo | Links | BibTeX | Etiquetas: Artificial intelligence; Data mining; Feature extraction; Forecasting; Hospitals; Learning algorithms; Learning systems; Predictive analytics, Bagging algorithms; Classification accuracy; Cross validation; Discharge predictions; F1 scores; Medical specialties; Quality of data; Urgency Department, Medical computing
@inproceedings{Prata201828,
title = {Data mining in urgency department: Medical specialty discharge prediction},
author = {M. Prata and H. Peixoto and J. MacHado and A. Abelha},
editor = {Guerra H. Gomes L.M. Machado J.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049981921&partnerID=40&md5=3cc8bef2ee13f2fbe0c31b22754c6e21},
isbn = {9789492859037},
year = {2018},
date = {2018-01-01},
journal = {16th International Industrial Simulation Conference 2018, ISC 2018},
pages = {28-35},
publisher = {EUROSIS},
abstract = {The aim of this paper is to analyze and process a dataset to predict the Medical Specialty (MS) discharge in a hospital Urgency Department (UD). MS discharge is the medical specialty in which a patient gets discharged from the UD. This predictive analysis would improve medical and staff performance, not to mention, less time consuming to the patient and less expensive to both patient and the hospital. However, it is a challenging task due to the quality of data retrieved from UDs that's usually non-treated, with a lot of irrelevant information, sparse and, sometimes, incomplete. This predictive analysis is obtained through Data Mining techniques and machine learning algorithms in Weka environment. It was concluded that feature selection and structured modelling are important factors that affect classification accuracy. It was also concluded as that randomly decreasing or increasing dataset information by varying patient values does not assist directly in increasing accuracy for the prediction of MS discharge. The best results were achieved using the Bagging algorithm with a REPTree classifier and a ten-fold cross-validation, achieving 91.96 % of accuracy and 0.85 F1-score. © 2018 EUROSIS. All rights reserved.},
note = {cited By 2; Conference of 16th International Industrial Simulation Conference, ISC 2018 ; Conference Date: 6 June 2018 Through 8 June 2018; Conference Code:137024},
keywords = {Artificial intelligence; Data mining; Feature extraction; Forecasting; Hospitals; Learning algorithms; Learning systems; Predictive analytics, Bagging algorithms; Classification accuracy; Cross validation; Discharge predictions; F1 scores; Medical specialties; Quality of data; Urgency Department, Medical computing},
pubstate = {published},
tppubtype = {inproceedings}
}
Moreira, P.; Oliveira, D.; Miranda, F.; Abelha, A.; MacHado, J.
Mobile computing in patient relationship management - A case study Proceedings Article
Em: J., Guerra H. Gomes L. M. Machado (Ed.): pp. 67-71, EUROSIS, 2018, ISBN: 9789492859037, (cited By 0; Conference of 16th International Industrial Simulation Conference, ISC 2018 ; Conference Date: 6 June 2018 Through 8 June 2018; Conference Code:137024).
Resumo | Links | BibTeX | Etiquetas: Costs; eHealth; Hospitals; Information technology; mHealth; Mobile computing; Smartphones, Event history; Mobile app; Mobile applications; Notification systems; Portuguese population; Push notifications; Relationship management; Telecommunication companies, Medical computing
@inproceedings{Moreira201867,
title = {Mobile computing in patient relationship management - A case study},
author = {P. Moreira and D. Oliveira and F. Miranda and A. Abelha and J. MacHado},
editor = {Guerra H. Gomes L.M. Machado J.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049957132&partnerID=40&md5=fa01b97bdf11107789ade83cbdf7e6ef},
isbn = {9789492859037},
year = {2018},
date = {2018-01-01},
journal = {16th International Industrial Simulation Conference 2018, ISC 2018},
pages = {67-71},
publisher = {EUROSIS},
abstract = {Around fourteen years ago, the first hospital in Portugal started to use a patient notification system, to alert patients of their medical events at the hospital, such as appointments, surgeries, exams, treatments through text messages. This notification system is used nowadays, but it faces a big problem: a huge amount of money spent for the telecommunication companies involved. Although each message cost a fraction of cents, it can easily reproduce its value in more than 50,000 euros per year per institution. Since technology and the use of smartphones has been evolving in such a quick way, it is estimated that in no more than 10 years, almost all the Portuguese population will use smartphones or have access to them. For those reasons, the main purpose of the present work, is to design and develop a mobile application in order to substitute the previous notification systems, through push up notifications on the app and by email, that can be saved on the smartphone calendar, translating in no costs associated with the notifications sent by the hospitals. The main motivation is, therefore, suppressing these costs for the hospital, bring the patients closer integrating other systems on the app and make the notification alert more efficient. Thereby, the mobile app will be able, not only to manage each notification and notify the patients, but also to check its medical event history and to schedule medical appointments. © 2018 EUROSIS. All rights reserved.},
note = {cited By 0; Conference of 16th International Industrial Simulation Conference, ISC 2018 ; Conference Date: 6 June 2018 Through 8 June 2018; Conference Code:137024},
keywords = {Costs; eHealth; Hospitals; Information technology; mHealth; Mobile computing; Smartphones, Event history; Mobile app; Mobile applications; Notification systems; Portuguese population; Push notifications; Relationship management; Telecommunication companies, Medical computing},
pubstate = {published},
tppubtype = {inproceedings}
}
2015
Novo, A.; Duarte, J.; Portela, F.; Abelha, A.; Santos, M. F.; Machado, J.
Information systems assessment in pathologic anatomy service Proceedings Article
Em: A., Reis L. P. Rocha A. Rocha (Ed.): pp. 199-209, Springer Verlag, 2015, ISSN: 21945357, (cited By 5; Conference of World Conference on Information Systems and Technologies, WorldCIST 2015 ; Conference Date: 1 April 2015 Through 3 April 2015; Conference Code:115559).
Resumo | Links | BibTeX | Etiquetas: Health; Hospitals; Information systems; Pathology, Hospital information systems; Pathologic anatomy service; TAM; Technology acceptance; Technology assessments, Medical computing
@inproceedings{Novo2015199,
title = {Information systems assessment in pathologic anatomy service},
author = {A. Novo and J. Duarte and F. Portela and A. Abelha and M. F. Santos and J. Machado},
editor = {Reis L. P. Rocha A. Rocha A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925337385&doi=10.1007%2f978-3-319-16528-8_19&partnerID=40&md5=9f5488f3ef9fed4ed88870923899a1df},
doi = {10.1007/978-3-319-16528-8_19},
issn = {21945357},
year = {2015},
date = {2015-01-01},
journal = {Advances in Intelligent Systems and Computing},
volume = {354},
pages = {199-209},
publisher = {Springer Verlag},
abstract = {Information technologies changed the way of how the health organizations work, contributing to their effectiveness, efficiency and sustainability. Hospital Information Systems (HIS) are emerging on all of health institutions, helping health professionals and patients. However, HIS are not always implemented and used in the best way, leading to low levels of benefits and acceptance by users of these systems. In order to mitigate this problem, it is essential to take measures able to ensure if the HIS and their interfaces are designed in a simple and interactive way. With this in mind, a study to measure the user satisfaction and their opinion was made. It was applied the Technology Acceptance Model (TAM) on a HIS implemented on various hospital centers (AIDA), being used the Pathologic Anatomy Service. The study identified weakness and strengths features of AIDA and it pointed some solutions to improve the medical record. © Springer International Publishing Switzerland 2015.},
note = {cited By 5; Conference of World Conference on Information Systems and Technologies, WorldCIST 2015 ; Conference Date: 1 April 2015 Through 3 April 2015; Conference Code:115559},
keywords = {Health; Hospitals; Information systems; Pathology, Hospital information systems; Pathologic anatomy service; TAM; Technology acceptance; Technology assessments, Medical computing},
pubstate = {published},
tppubtype = {inproceedings}
}
2011
Portela, C. F.; Santos, M. F.; Silva, Á.; Machado, J.; Abelha, A.
Enabling a pervasive approach for intelligent decision support in critical health care Proceedings Article
Em: pp. 233-243, Vilamoura, 2011, ISSN: 18650929, (cited By 31; Conference of International Conference on Enterprise Information Systems, CENTERIS 2011 ; Conference Date: 5 October 2011 Through 7 October 2011; Conference Code:86917).
Resumo | Links | BibTeX | Etiquetas: Artificial intelligence; Decision support systems; Health; Health care; Information systems; Intelligent agents; Intensive care units, Critical Health Care; Intelligent environment; Intensive care; Online; Pervasive environments; Real-Time; Remote Connection, Medical computing
@inproceedings{Portela2011233,
title = {Enabling a pervasive approach for intelligent decision support in critical health care},
author = {C. F. Portela and M. F. Santos and Á. Silva and J. Machado and A. Abelha},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054063830&doi=10.1007%2f978-3-642-24352-3_25&partnerID=40&md5=530df95e3ad02b1a1ef2baf4771f8385},
doi = {10.1007/978-3-642-24352-3_25},
issn = {18650929},
year = {2011},
date = {2011-01-01},
journal = {Communications in Computer and Information Science},
volume = {221 CCIS},
number = {PART 3},
pages = {233-243},
address = {Vilamoura},
abstract = {The creation of a pervasive and intelligent environment makes possible the remote work with good results in a great range of applications. However, the critical health care is one of the most difficult areas to implement it. In particular Intensive Care Units represent a new challenge for this field, bringing new requirements and demanding for new features that should be satisfied if we want to succeed. This paper presents a framework to evaluate future developments in order to efficiently adapt an Intelligent Decision Support System to a pervasive approach in the area of critical health (INTCare research project). © 2011 Springer-Verlag.},
note = {cited By 31; Conference of International Conference on Enterprise Information Systems, CENTERIS 2011 ; Conference Date: 5 October 2011 Through 7 October 2011; Conference Code:86917},
keywords = {Artificial intelligence; Decision support systems; Health; Health care; Information systems; Intelligent agents; Intensive care units, Critical Health Care; Intelligent environment; Intensive care; Online; Pervasive environments; Real-Time; Remote Connection, Medical computing},
pubstate = {published},
tppubtype = {inproceedings}
}
Peixoto, H.; MacHado, J.; Abelha, A.; Neves, J.; Correia, A.; Santos, M. F.
AASYS - Appointment alert system: An open-source-based software to improve show rates in a health care unit Proceedings Article
Em: pp. 399-403, EUROSIS, Guimaraes, 2011, (cited By 2; 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: Alert systems; Healthcare facility; National standard; Open Source Software; Open sources; Portugal; Short message services; Waiting-time, Communication; Costs; Health care; Information systems; Modal analysis; Software engineering; User interfaces; Web services; Websites, Medical computing
@inproceedings{Peixoto2011399,
title = {AASYS - Appointment alert system: An open-source-based software to improve show rates in a health care unit},
author = {H. Peixoto and J. MacHado and A. Abelha and J. Neves and A. Correia and M. F. Santos},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898994157&partnerID=40&md5=ff96b0afe3942de1f826644f5ffcb457},
year = {2011},
date = {2011-01-01},
journal = {ESM 2011 - 2011 European Simulation and Modelling Conference: Modelling and Simulation 2011},
pages = {399-403},
publisher = {EUROSIS},
address = {Guimaraes},
abstract = {In this paper we show a practical approach to deal with government impositions correlated with on time appointments in major healthcare facilities in Portugal. Reduce waiting time and improve quality on patient communication are two of the main objectives in this project. Information Systems can improve patient communication with hospitals and build a trust and better patient-caregiver relationship. New possibilities upraise with new smart phones and it is up to us to use it according to national standards and laws. We intend to establish a platform named Appointment Alert System (AASYS) that aids healthcare facilities to decrease costs correlated with calls for appointments, which indeed one of the major sources of appointment department costs. Schedule administration is taken in consideration and an user interface web page was also built. At the end we prove that an alert system based on open source software leading to short message service arid email can help decrease costs and increase show rates. ©2011 EUROSIS-ETI.},
note = {cited By 2; Conference of 25th European Simulation and Modelling Conference, ESM 2011 ; Conference Date: 24 October 2011 Through 26 October 2011; Conference Code:104378},
keywords = {Alert systems; Healthcare facility; National standard; Open Source Software; Open sources; Portugal; Short message services; Waiting-time, Communication; Costs; Health care; Information systems; Modal analysis; Software engineering; User interfaces; Web services; Websites, Medical computing},
pubstate = {published},
tppubtype = {inproceedings}
}
2010
Portela, F.; Vilas-Boas, M.; Santos, M. F.; Abelha, A.; Machado, J.; Cabral, A.; Aragão, I.
Electronic health records in the emergency room Proceedings Article
Em: pp. 195-200, Yamagata, 2010, ISBN: 9780769541471, (cited By 9; Conference of 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 ; Conference Date: 18 August 2010 Through 20 August 2010; Conference Code:82351).
Resumo | Links | BibTeX | Etiquetas: Electronic health record; Emergency departments; Health-care system; High quality; Incomplete information; Portugal; Quality of care; Right information; Significant impacts, Emergency rooms; Health; Health care; Information science; Information systems; Records management, Medical computing
@inproceedings{Portela2010195,
title = {Electronic health records in the emergency room},
author = {F. Portela and M. Vilas-Boas and M. F. Santos and A. Abelha and J. Machado and A. Cabral and I. Aragão},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78649286974&doi=10.1109%2fICIS.2010.98&partnerID=40&md5=8b270837c1a63ade85711ba28ee2276d},
doi = {10.1109/ICIS.2010.98},
isbn = {9780769541471},
year = {2010},
date = {2010-01-01},
journal = {Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010},
pages = {195-200},
address = {Yamagata},
abstract = {In an Emergency Room setting there is the pressure to make rapid, often critical decisions with incomplete information and this has a significant impact on care. However, it is difficult to provide high-quality, maximally safe, and efficient care in the Emergency Room. Information technology has the great potential for transforming the health care system, improving quality of care by providing the right information at the right time, to the right persons. This paper focuses on the expected impact of Information Systems and technology on the Emergency Room of Centro Hospitalar do Porto - Hospital de Santo António, Portugal. © 2010 IEEE.},
note = {cited By 9; Conference of 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 ; Conference Date: 18 August 2010 Through 20 August 2010; Conference Code:82351},
keywords = {Electronic health record; Emergency departments; Health-care system; High quality; Incomplete information; Portugal; Quality of care; Right information; Significant impacts, Emergency rooms; Health; Health care; Information science; Information systems; Records management, Medical computing},
pubstate = {published},
tppubtype = {inproceedings}
}