pubs2024

@inproceedings{Dias2023288,

title = {Enhancing Data Science Interoperability: An Innovative System for Managing OpenEHR Structures},

author = {M. Dias and R. Sousa and J. Duarte and H. Peixoto and A. Abelha and J. Machado},

editor = {Bonsangue M. M. Anutariya C.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177871998&doi=10.1007%2f978-981-99-7969-1_21&partnerID=40&md5=19b18d908fc002f4b8eab31c03dfc5f0},

doi = {10.1007/978-981-99-7969-1_21},

issn = {18650929},

year  = {2023},

date = {2023-01-01},

journal = {Communications in Computer and Information Science},

volume = {1942 CCIS},

pages = {288-299},

publisher = {Springer Science and Business Media Deutschland GmbH},

abstract = {The concept of e-Health is increasingly used in the healthcare industry, referring to the development and application of software and hardware solutions for efficient collection, storage, manipulation, and communication of data, to improve healthcare delivery. Data Science Interoperability is critical to create a data repository from which to implement artificial intelligence models that support the decision-making process. The lack of interoperability in Health Information Systems (HIS) has been a significant challenge. The need for systems that promote interoperability between HIS within the same institution or even between HIS from different institutions is a worldwide concern. A system that contributes to improving interoperability in healthcare through the use of the openEHR standard is proposed with this paper. The system provides a way to manipulate clinical data by creating an artifact built with React and NextJS that allows the conversion of openEHR standardized data into a JSON object. The artifact being a web application presents a new way for users to check openEHR data, while the API can be used by developers to work with openEHR data in a more accessible and supported way. The results of this research and engineering effort have been successful in presenting a new approach to implementing yet another tool to help healthcare professionals and biomedical software engineers. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.},

note = {cited By 0; Conference of 1st International Conference on Data Science and Artificial Intelligence, DSAI 2023 ; Conference Date: 27 November 2023 Through 29 November 2023; Conference Code:304419},

keywords = {Application programming interfaces (API); Application programs; Data Science; Decision making; Digital storage; Health care; Information systems; Information use, Data science interoperability; Development and applications; E health; Ehealth; Health information systems; Healthcare industry; Innovative systems; Openehr; Software and hardwares; Software solution, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Silva2023844,

title = {A Data Acquisition and Consolidation System based on openEHR applied to Physical Medicine and Rehabilitation},

author = {I. Silva and D. Ferreira and H. Peixoto and J. Machado},

editor = {Shakshuki E.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164453711&doi=10.1016%2fj.procs.2023.03.113&partnerID=40&md5=05a9e82d67ef672349732c517afce7de},

doi = {10.1016/j.procs.2023.03.113},

issn = {18770509},

year  = {2023},

date = {2023-01-01},

journal = {Procedia Computer Science},

volume = {220},

pages = {844-849},

publisher = {Elsevier B.V.},

abstract = {Shoulder pathologies are prevalent and reduce the quality of life. Due to the shoulder joint's complexity, healthcare professionals face challenges to evaluate, diagnose, and treat these pathologies. On the other hand, the acquisition, presentation, and analysis of patient data in healthcare is complex and hindered by the absence of standardization and interoperability in Database Management Systems. Hence, in this study, we propose a web platform based on openEHR structures that incorporates user interface forms for registering patient physical examinations. The benefits of implementing this approach include structured and standardized data collection, and better communication and information exchange between different systems. © 2023 Elsevier B.V.. All rights reserved.},

note = {cited By 0; Conference of 14th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th International Conference on Emerging Data and Industry 4.0, EDI40 2023 ; Conference Date: 15 March 2023 Through 17 March 2023; Conference Code:189712},

keywords = {Data acquisition; eHealth; Hospital data processing; Information management; Medical applications; Medical computing; Pathology; User interfaces, Electronic health; Electronic health record; Health care professionals; Health records; OpenEHR; Patient data; Physical medicine; Quality of life; Shoulder joints; Shoulder pathology, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Oliveira2022265,

title = {OpenEHR modelling applied to Complementary Diagnostics Requests},

author = {D. Oliveira and A. Santos and D. Braga and I. Silva and R. Sousa and A. Abelha and J. Machado},

editor = {Shakshuki E.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144824043&doi=10.1016%2fj.procs.2022.10.148&partnerID=40&md5=860a35222661de3243855a8f9f6a295a},

doi = {10.1016/j.procs.2022.10.148},

issn = {18770509},

year  = {2022},

date = {2022-01-01},

journal = {Procedia Computer Science},

volume = {210},

number = {C},

pages = {265-270},

publisher = {Elsevier B.V.},

abstract = {Complementary Diagnostic Requests (CDRs) are required for disease identification, monitoring, and prognosis. Diagnostic tests misuse, on the other hand, can lead to negative health outcomes as well as additional costs. Inappropriate diagnostic test requests are primarily the result of a lack of interoperability between Healthcare Information Systems (HIS). On one hand, clinicians can be mislead into which test is the best option for each clinical case, on the other hand missing previous results, leads to duplication or unnecessary tests. HIS is increasingly relying on standards based on dual architecture to promote interoperability as well as the structuring and consistency of clinical and demographic data. The OpenEHR standard's duo-based architecture allows for concise modelling of archetypes and templates for a given clinical case, which was used in this study. As a result, the purpose of this research was to build an openEHR template for the CDR registration as well as the architecture of a Data Warehouse (DW) system capable of storing all of the information needed for the diagnostic test request process. Afterwards, Business Intelligence (BI) indicators was developed in order to answers the needs for test registration and execution. © 2022 Elsevier B.V.. All rights reserved.},

note = {cited By 2; Conference of 13th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN / The 12th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2022 / Affiliated Workshops ; Conference Date: 26 October 2022 Through 28 October 2022; Conference Code:148658},

keywords = {Additional costs; Archetype; Business-intelligence; Clinical data; Complementary diagnostic request; Demographic data; Diagnostic tests; Health outcomes; OpenEHR; Template, Architecture; Data warehouses; Diagnosis; Information analysis, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Afonso2022271,

title = {OpenEHR based bariatric surgery follow-up},

author = {A. Afonso and C. Alvarez and D. Ferreira and D. Oliveira and H. Peixoto and A. Abelha and J. Machado},

editor = {Shakshuki E.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144818896&doi=10.1016%2fj.procs.2022.10.149&partnerID=40&md5=948521a51fd931ae8163d47a7fd3e7a0},

doi = {10.1016/j.procs.2022.10.149},

issn = {18770509},

year  = {2022},

date = {2022-01-01},

journal = {Procedia Computer Science},

volume = {210},

number = {C},

pages = {271-276},

publisher = {Elsevier B.V.},

abstract = {According to the World Health Organization (WHO), more than one billion people in the world are obese, and this number is still increasing. When this disease becomes a high risk to the individual's health and the non-invasive approach does not result in weight loss, it is usual to resort to an invasive intervention, bariatric surgery. Due to all the specifications, as well as the multidisciplinary treatment inherent to this procedure, the need for a specialized environment emerges. In this context, the main objective of this topic focuses on the development of a platform for registration and monitoring of bariatric surgery. For this purpose, a web platform was created, which integrates openEHR forms for the registration of appointments regarding this intervention, and uses openEHR modeling to build the interoperable template. The development of this project aims to provide greater ease and speed in patient care, assisting health professionals in their daily lives. © 2022 Elsevier B.V.. All rights reserved.},

note = {cited By 2; Conference of 13th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN / The 12th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2022 / Affiliated Workshops ; Conference Date: 26 October 2022 Through 28 October 2022; Conference Code:148658},

keywords = {Bariatric surgery; Electronic health; Electronic health record; Follow up; Health information systems; Health records; Obesity; OpenEHR; Weight loss; World Health Organization, Health risks; Surgery, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Silva2022726,

title = {Rule-based Clinical Decision Support System using the OpenEHR Standard},

author = {S. T. Silva and F. Hak and J. Machado},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132194511&doi=10.1016%2fj.procs.2022.03.098&partnerID=40&md5=c8c752f5ce49f27dbc82c7ed9abc4291},

doi = {10.1016/j.procs.2022.03.098},

issn = {18770509},

year  = {2022},

date = {2022-01-01},

journal = {Procedia Computer Science},

volume = {201},

number = {C},

pages = {726-731},

publisher = {Elsevier B.V.},

abstract = {Clinical Decision Support Systems present diverse ramifications that ultimately help healthcare professionals in their decision-making process. These systems can manifest themselves in the form of computerized guidelines that, depending on their goal and stipulated directives, help and optimize healthcare professional's daily tasks. However, nowadays there is a certain resistance from the healthcare community towards using these systems, with valid justifications such as: the absence of transparency in defined rules, the lack of interoperability within these systems and the difficulty in their usage as they prove themselves unintuitive and hard. With the intention of culminating these flaws, a clinical decision support system was developed based on the openEHR module in order to ensure standardization and semantic interoperability. This system will be oriented towards management and creation of clinical guidelines based on the specifications of the openEHR standard. © 2022 Elsevier B.V.. All rights reserved.},

note = {cited By 1; Conference of 13th International Conference on Ambient Systems, Networks and Technologies, ANT 2022 / 5th International Conference on Emerging Data and Industry 4.0, EDI40 2022 ; Conference Date: 22 March 2022 Through 25 March 2022; Conference Code:147558},

keywords = {Artificial intelligence; Decision making; Decision support systems; Health care; Semantics, Clinical decision support systems; Daily tasks; Decision module language; Decision modules; Decision-making process; Guideline; Health care professionals; Openehr; Rule; Rule based, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Chaves2021917,

title = {Development of FHIR based web applications for appointment management in healthcare},

author = {A. Chaves and T. Guimarães and J. Duarte and H. Peixoto and A. Abelha and J. Machado},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106686824&doi=10.1016%2fj.procs.2021.03.114&partnerID=40&md5=a0681e0e706d76a995e932f18cff4ba2},

doi = {10.1016/j.procs.2021.03.114},

issn = {18770509},

year  = {2021},

date = {2021-01-01},

journal = {Procedia Computer Science},

volume = {184},

pages = {917-922},

publisher = {Elsevier B.V.},

abstract = {The integration of Information Technology systems in healthcare is no new concept, however, the ever growing solutions offered by the IT field are pushing a revamp of older implementations of Hospital Information Systems. Contemporary web-based solutions are now readily available and promise independence from operating systems and desktop bound systems, while incorporating faster and more secure methods. The focus on interoperable systems has been setting new goals towards fully computerized hospital management and the progress of healthcare standards over the years has made interoperability an obligation. The work presented hereby reflects a FHIR web based application to overcome the problem presented by scheduling and appointment management. © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)},

note = {cited By 3; Conference of 12th International Conference on Ambient Systems, Networks and Technologies, ANT 2021 / 4th International Conference on Emerging Data and Industry 4.0, EDI40 2021 / Affiliated Workshops ; Conference Date: 23 March 2021 Through 26 March 2021; Conference Code:145658},

keywords = {Elsevier; FHIR; Hospital information systems; Information technology systems; Open Access; Schedule management; WEB application; Web applications; Web development; Web-based solutions, Health care; Hospitals; Information management; Information systems; Information use; Scheduling; Websites, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Oliveira2020522,

title = {Management of a pandemic based on an openEHR approach},

author = {D. Oliveira and R. Miranda and N. Abreu and P. Leuschner and A. Abelha and M. Santos and J. Machado},

editor = {Yasar A. Shakshuki E.M.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099877973&doi=10.1016%2fj.procs.2020.10.072&partnerID=40&md5=3da6d21c32322c5623b9f10c2a037f49},

doi = {10.1016/j.procs.2020.10.072},

issn = {18770509},

year  = {2020},

date = {2020-01-01},

journal = {Procedia Computer Science},

volume = {177},

pages = {522-527},

publisher = {Elsevier B.V.},

abstract = {The COVID-19 pandemic has collapsed several national health systems, due to the lack of healthcare professionals and exhaustion of those employed, as well as the lack of interoperability and capacity to restructure their informatic systems. Therefore, the restructuring of institutions at all levels is essential, mainly at the level of their Information Systems. When the COVID-19 pandemic had spread to Portugal in March 2020, with a breakout on the northern region, the Centro Hospitalar Universitário do Porto (CHUP) healthcare institution had felt the need to develop and integrate a new approach based on the openEHR standard to interoperate with the institution's existing information systems, with the aim of responding quickly to the pandemic's evolution. © 2020 The Authors. Published by Elsevier B.V.},

note = {cited By 11; Conference of 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2020 ; Conference Date: 2 November 2020 Through 5 November 2020; Conference Code:166555},

keywords = {Health care professionals; Healthcare institutions; National health system; New approaches; Northern regions; Portugal, Health care; Information systems; Information use; Medical computing, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ferreira2019527,

title = {Steps towards online monitoring systems and interoperability},

author = {D. Ferreira and C. Neto and J. Machado and A. Abelha},

editor = {Reis L. P. Adeli H. Rocha A.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065103983&doi=10.1007%2f978-3-030-16187-3_51&partnerID=40&md5=854638cdcd64103f4557f6c7543f3351},

doi = {10.1007/978-3-030-16187-3_51},

issn = {21945357},

year  = {2019},

date = {2019-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {932},

pages = {527-536},

publisher = {Springer Verlag},

abstract = {In the health area, there is, on a daily basis, an enormous amount of data being produced and disseminated. The fast-growing amount of collected data and the rich knowledge, possibly life-saving, that could be extracted from these data has demanded the search of new ways to ensure the reliability and availability of the information with an emphasis on the efficient use of information technology tools. Although the main focus of the information systems is the health professionals who contact directly with the patient, it is also imperative to have tools for the background of the health units (information services, managers of systems, etc.). The main purpose of this work is the development of an innovative and interactive web platform for the daily monitoring of the web services activities of a Portuguese hospital, Centro Hospitalar do Porto (CHP). This platform is a web application developed in React that aims to ensure the correct functioning of the web services, that are responsible for numerous tasks within the hospital environment, and which failure could result in disastrous consequences, both for the health institution and for the patients. The development of the web application followed the six stages of the Design Science Research (DSR) methodology and was submitted to the Strengths Weaknesses Opportunities and Threats (SWOT) analysis, which results were considered optimistic. © Springer Nature Switzerland AG 2019.},

note = {cited By 0; Conference of World Conference on Information Systems and Technologies, WorldCIST 2019 ; Conference Date: 16 April 2019 Through 19 April 2019; Conference Code:224789},

keywords = {Design science researches (DSR); Health professionals; Hospital environment; Information technology tools; On-line monitoring system; Opportunities and threat (SWOT); Reliability and availability; WEB application, Health; Hospitals; Information services; Information systems; Information technology; Information use; Medical computing; Monitoring; Online systems; Web services; Websites, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Oliveira2018205,

title = {New approach to an openEHR introduction in a portuguese healthcare facility},

author = {D. Oliveira and A. Coimbra and F. Miranda and N. Abreu and P. Leuschner and J. Machado and A. Abelha},

editor = {Rocha A. Costanzo S. Adeli H.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045320739&doi=10.1007%2f978-3-319-77700-9_21&partnerID=40&md5=6a27b6dfc2a5b4b098597344eb26de39},

doi = {10.1007/978-3-319-77700-9_21},

issn = {21945357},

year  = {2018},

date = {2018-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {747},

pages = {205-211},

publisher = {Springer Verlag},

abstract = {Implementing a new EHR data system is not easy, as the systems already in place and user mentality are very difficult to change. The openEHR architecture introduces a new way of organizing clinical information using archetypes and templates. The present paper focuses on the initial steps of the implementation of an openEHR based EHR in a Portuguese major HealthCare provider. The system comprises operational templates creation through the creation of a validation mechanism and after that storage, a platform for data generation dynamically constructed from templates and an interoperability mechanism through the implementation of an HL7 V3/CDA message system. © Springer International Publishing AG, part of Springer Nature 2018.},

note = {cited By 8; Conference of 6th World Conference on Information Systems and Technologies, WorldCIST 2018 ; Conference Date: 27 March 2018 Through 29 March 2018; Conference Code:212469},

keywords = {Archetypes; HL7 V3/CDA; openEHR; Operational templates; SNOMED-CT, Digital storage; Health care; Information systems; Information use, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Loreto2017170,

title = {Improving maternity care with business intelligence},

author = {P. Loreto and F. Fonseca and A. Morais and H. Peixoto and A. Abelha and J. Machado},

editor = {Younas M. Portela F. Awan I.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047413573&doi=10.1109%2fFiCloudW.2017.89&partnerID=40&md5=54a43f1b7c10b42ab82c19d054c3a987},

doi = {10.1109/FiCloudW.2017.89},

isbn = {9781538632819},

year  = {2017},

date = {2017-01-01},

journal = {Proceedings - 2017 5th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2017},

volume = {2017-January},

pages = {170-177},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The aim of this paper is to develop clinical indicators for obstetrics through the use of Business Intelligence (BI) tools, since valid and reliable clinical indicators can help measuring quality of healthcare services and support decision-making processes. This paper gives an overview of concepts related to Health Information Systems (HIS) and BI, along with some related work to highlight the advantages that BI solutions can bring when applied to healthcare. In this paper is also presented the data warehousing and the ETL process, that was necessary for the development of indicators and which is usually hidden from endusers, is described. The indicators were developed using Power BI and were analysed and compared with reference values from both national and international health reports. The discussion of the developed indicators made it possible to measure the quality of the obstetrics service, to identify the problematic areas and to decide whether improvement measures should be taken. © 2017 IEEE.},

note = {cited By 10; Conference of 5th IEEE International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2017 ; Conference Date: 21 August 2017 Through 23 August 2017; Conference Code:132622},

keywords = {Competitive intelligence; Data warehouses; Decision making; Health care; Indicators (instruments); Information analysis; Information systems; Information use; Internet of things; Medical computing; Obstetrics; Public health; Warehouses, Decision making process; Extract transform loads; Health information systems; Improvement measure; International healths; Quality of health care; Reference values; Related works, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Oliveira2017194,

title = {Improving nursing practice through interoperability and intelligence},

author = {D. Oliveira and J. Duarte and A. Abelha and J. Machado},

editor = {Younas M. Portela F. Awan I.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047248056&doi=10.1109%2fFiCloudW.2017.92&partnerID=40&md5=f295b7a271642cfe46029f4e7babeca0},

doi = {10.1109/FiCloudW.2017.92},

isbn = {9781538632819},

year  = {2017},

date = {2017-01-01},

journal = {Proceedings - 2017 5th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2017},

volume = {2017-January},

pages = {194-199},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Hospital inpatient care compromises one of the most demanding services in health institutions when providing a careful and continuous healthcare assistance. Such demands require constant update of the patients' electronic health record allied with support systems responsible for monitoring their clinical information. In this context, this paper presents a new web platform for daily monitoring of patients, designed to be used by health professionals, especially nurses. The application is based on React, an open-source JavaScript library for building user interfaces. The developed tool incorporates two main features: the real-time visualization of the data, and the storage of the patient's historic during an inpatient care episode. The storage capability allows keeping the data updated among hospital shifts. Moreover, this work also highlights the required adaptability of this platform for each health units inside a hospital center according with its needs. © 2017 IEEE.},

note = {cited By 3; Conference of 5th IEEE International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2017 ; Conference Date: 21 August 2017 Through 23 August 2017; Conference Code:132622},

keywords = {Building users; Clinical information; Electronic health record; Health professionals; Hospital information systems; Real time visualization; Storage capability; Support systems, Data visualization; Digital storage; Health care; Hospitals; Internet of things; Nursing; User interfaces, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Queirós2017417,

title = {Magni - A framework for developing context-aware mobile applications},

author = {R. Queirós and F. Portela and J. Machado},

editor = {Reis L. P. Rocha A. Costanzo S.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018578020&doi=10.1007%2f978-3-319-56541-5_43&partnerID=40&md5=1dbb20a154788464797e2ac8b870f5a7},

doi = {10.1007/978-3-319-56541-5_43},

issn = {21945357},

year  = {2017},

date = {2017-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {571},

pages = {417-426},

publisher = {Springer Verlag},

abstract = {The advent of Internet and ubiquitous technologies has been fostering the appearance of intelligent mobile applications aware of their environment and the objects nearby. Despite its popularity, mobile devel-opers are often required to write large and disorganized amounts of code, mixing UI with business logic and interact, in a ad-hoc fashion, with sensor devices and services. These habits hinder the code maintenance, refactoring and testing, while negatively influencing the consistency and performance of mobile applications. In this paper we present Magni as an abstract framework for the design and implementation of personalized and context-aware mobile applications. The corner stone of the frame-work is its architectural pattern based on the Model–View–Presenter pattern in the UI layer relying in REST services the majority of the app features. This paradigm fosters the modular design, implementing the separation of concerns concept and allowing an easier implementation of unit tests. In order to validate the framework, we present a prototype for an healthcare automotive app. The main goal of the app is to facilitate the access to health related points of interest such as hospitals, clinics and pharmacies. © Springer International Publishing AG 2017.},

note = {cited By 2; Conference of 5th World Conference on Information Systems and Technologies, WorldCIST ; Conference Date: 11 April 2017 Through 13 April 2017; Conference Code:190479},

keywords = {Architectural pattern; Context-aware mobile application; Design and implementations; Design Patterns; Geolocalization; Mobile frameworks; Separation of concerns concepts; Ubiquitous technology, Health care; Information systems; Information use; mHealth; Mobile computing; Web services, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Abelha2014278,

title = {Simulating a multi-level priority triage system for maternity emergency},

author = {A. Abelha and E. Pereira and A. Brandão and F. Portela and M. Santos and J. Machado},

editor = {Tavares J. M. R. S. de Oliveira C.B. Brito A.C.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922311084&partnerID=40&md5=ab182dda99e8716d8e62cdb08d6dd3b9},

isbn = {9789077381861},

year  = {2014},

date = {2014-01-01},

journal = {Modelling and Simulation 2014 - European Simulation and Modelling Conference, ESM 2014},

pages = {278-282},

publisher = {EUROSIS},

abstract = {Nowadays Decision Support Systems are increasingly used in order to help health professionals. An example of this application is the implementation of a triage system in hospital emergency. In Centro Materno Infantil do Norte it was implemented an intelligent pre-triage system aiming to prioritize the patients on two levels: Urgent and or outpatient service. However, although specific for obstetrics and gynaecology cases, the system does not meet all clinical requirements. Thus using a simulation algorithm developed within this framework, it was intended to simulate a specific priority triage system for gynaecology and obstetrics but with five acuity levels as suggested by the Portuguese general department of Health (Direção Geral de Saúde). For this study the repository of specific pre-tri age system was used to test the algorithm. After application it was found that the implementation of this system will reduce waiting time, allowing a uniform distribution according to the waiting time and the clinical features. The percentage of deviation between the waiting time and the actual time obtained by simulation algorithm it is approximately 121.6%.},

note = {cited By 3; Conference of 28th European Simulation and Modelling Conference, ESM 2014 ; Conference Date: 22 October 2014 Through 24 October 2014; Conference Code:110004},

keywords = {Artificial intelligence; Decision support systems; Gynecology; Modal analysis; Obstetrics; Real time systems, Department of healths; Health professionals; Intelligent decision support systems; Maternity care; Real time; Simulation algorithms; Specific priority triage system; Uniform distribution, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Marins2014197,

title = {Intelligent systems for monitoring and prevention in healthcare information systems},

author = {F. Marins and L. Cardoso and F. Portela and A. Abelha and J. Machado},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904873936&doi=10.1007%2f978-3-319-09153-2_15&partnerID=40&md5=47cf42741b7034a2c531829c2f99a74c},

doi = {10.1007/978-3-319-09153-2_15},

issn = {03029743},

year  = {2014},

date = {2014-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {8584 LNCS},

number = {PART 6},

pages = {197-211},

publisher = {Springer Verlag},

address = {Guimaraes},

abstract = {Nowadays the interoperability in Healthcare Information Systems (HIS) is a fundamental requirement. The Agency for Integration, Diffusion and Archive of Medical Information (AIDA) is an interoperability healthcare platform that ensures these demands and it is implemented in Centro Hospitalar do Porto (CHP), a major healthcare unit in Portugal. Therefore, the overall performance of CHP HIS depends on the success of AIDA functioning. This paper presents monitoring and prevention systems implemented in the CHP, which aim to improve the system integrity and high availability. These systems allow the monitoring and the detection of situations conducive to failure in the AIDA main components: database, machines and intelligent agents. Through the monitoring systems, it was found that the database most critical period is between 11:00 and 12:00 and the resources are well balanced. The prevention systems detected abnormal situations that were reported to the administrators that took preventive actions, avoiding damage to AIDA workflow. © 2014 Springer International Publishing.},

note = {cited By 1; Conference of 14th International Conference on Computational Science and Its Applications, ICCSA 2014 ; Conference Date: 30 June 2014 Through 3 July 2014; Conference Code:106576},

keywords = {Availability; Damage detection; Health care; Information systems; Intelligent agents; Intelligent systems; Monitoring, Health care information system; Healthcare information systems (HIS); High availability; Medical information; Monitoring system; Prevention systems; Preventive action; System integrity, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Marins2014207,

title = {cImproving high availability and reliability of health interoperability systems},

author = {F. Marins and L. Cardoso and F. Portela and M. F. Santos and A. Abelha and J. Machado},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898613300&doi=10.1007%2f978-3-319-05948-8_20&partnerID=40&md5=f02681f3fd57aef2fc4d86a23731becc},

doi = {10.1007/978-3-319-05948-8_20},

issn = {21945357},

year  = {2014},

date = {2014-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {276 VOLUME 2},

pages = {207-216},

publisher = {Springer Verlag},

address = {Madeira},

abstract = {The accessibility and availability of patient clinical information are a constant need. The Agency for Interoperation, Diffusion and Archive of Medical Information (AIDA) was then developed to ensure the interoperability among healthcare information systems successfully. AIDA has demonstrated over time the need for greater control over its agents and their activities as the need for monitoring and preventing its machines and agents. This paper presents monitoring and prevention systems that were developed for machines and agents, which allow not only prevent faults, but also watch and evaluate the behaviour of these components through monitoring dashboards. The Biomedical Multiagent Platform for Interoperability (BMaPI) implemented in Centro Hospitalar do Porto (CHP) revealed provide the necessary data and functionalities capable to manage and to monitor agents' activities. It was found that the prevention systems identified critical situations successfully, contributing to an increase in the integrity and availability of AIDA implemented in CHP. © Springer International Publishing Switzerland 2014.},

note = {cited By 11; Conference of 2014 World Conference on Information Systems and Technologies, WorldCIST 2014 ; Conference Date: 15 April 2014 Through 18 April 2014; Conference Code:104563},

keywords = {Clinical information; Fault forecasting; Health care information system; Health information systems; Medical information; Monitoring system; Multi-agent platforms; Prevention systems, Information systems; Multi agent systems, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Peixoto2012264,

title = {Intelligence in interoperability with AIDA},

author = {H. Peixoto and M. Santos and A. Abelha and J. Machado},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84870862280&doi=10.1007%2f978-3-642-34624-8_31&partnerID=40&md5=b3c320834bc15085014dcd68b223c456},

doi = {10.1007/978-3-642-34624-8_31},

issn = {03029743},

year  = {2012},

date = {2012-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {7661 LNAI},

pages = {264-273},

address = {Macau},

abstract = {Healthcare systems have to be addressed in terms of a wide variety of heterogeneous, distributed and ubiquitous systems speaking different languages, integrating medical equipments and customized by different entities, which in turn were set by different people aiming at different goals. Demands of information within the healthcare sector range from clinically valuable patient-specific information to a variety of aggregation levels for follow-up and statistical and/or quantifiable reporting. The main goal is to gathering this information and present it in a readable way to physicians. In this work we show how to achieve interoperability in healthcare institutions using AIDA, an interoperability platform developed by researchers from the University of Minho and being used in some major Portuguese hospitals. © 2012 Springer-Verlag.},

note = {cited By 45; Conference of 20th International Symposium on Methodologies for Intelligent Systems, ISMIS 2012 ; Conference Date: 4 December 2012 Through 7 December 2012; Conference Code:94398},

keywords = {Aggregation level; Ambient intelligence; Electronic health record; Health-care system; Healthcare institutions; Healthcare sectors; Semantic interoperability; Ubiquitous systems, Health care; Intelligent systems; Semantics, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Rodrigues2012274,

title = {An intelligent patient monitoring system},

author = {R. Rodrigues and P. Gonçalves and M. Miranda and C. Portela and M. Santos and J. Neves and A. Abelha and J. MacHado},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84870862056&doi=10.1007%2f978-3-642-34624-8_32&partnerID=40&md5=3fd87effe75c4e219efb7b9b0b27e202},

doi = {10.1007/978-3-642-34624-8_32},

issn = {03029743},

year  = {2012},

date = {2012-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {7661 LNAI},

pages = {274-283},

address = {Macau},

abstract = {Intensive Care Units (ICUs) are a good environment for the application of intelligent systems in the healthcare arena, due to its critical environment that requires diagnose, monitoring and treatment of patients with serious illnesses. An intelligent decision support system - INTCare, was developed and tested in CHP (Centro Hospitalar do Porto), 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 localisation 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 (PMS), using the HL7 standard embedded in agent behaviours. © 2012 Springer-Verlag.},

note = {cited By 4; Conference of 20th International Symposium on Methodologies for Intelligent Systems, ISMIS 2012 ; Conference Date: 4 December 2012 Through 7 December 2012; Conference Code:94398},

keywords = {Ambient intelligence; HL7; Medical informatics; Multi agent system (MAS); Patient monitoring systems, Communication; Decision support systems; Health care; Intelligent agents; Intelligent systems; Intensive care units; Multi agent systems; Patient monitoring; Radio frequency identification (RFID), Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Miranda2012949,

title = {Agent based interoperability in hospital information systems},

author = {M. Miranda and G. Pontes and A. Abelha and J. Neves and J. Machado},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886407426&doi=10.1109%2fBMEI.2012.6513042&partnerID=40&md5=ecc0808dff871cf40cc44103fa33628d},

doi = {10.1109/BMEI.2012.6513042},

isbn = {9781467311816},

year  = {2012},

date = {2012-01-01},

journal = {2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012},

pages = {949-953},

address = {Chongqing},

abstract = {The healthcare area configures an environment of both complexity and cooperation. Numerous and distinct information systems must exchange information in a expedite and consolidated manner. Where healthcare interoperability is concerned numerous techniques, methodologies, architectures and standards exist, having also some which are more common. However subjects such as service distribution, fault tolerance, standards, communication flavoring and tightly-bound systems still are a major issue of concern. This paper aims to propose and explain a multi-agent based architecture which uses the HL7 standard as a means towards the implementation of interoperability in healthcare environment. It follows the concept of distributed consolidation of information, aiming heterogeneous systems to communicate towards their mutual benefit however through middleware agents which validate and consolidate information. © 2012 IEEE.},

note = {cited By 4; Conference of 2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012 ; Conference Date: 16 October 2012 Through 18 October 2012; Conference Code:100337},

keywords = {Agent based; Healthcare environments; Healthcare Interoperability; Heterogeneous systems; Hospital information systems; Medical informatics; Mutual benefit; Service distribution, Health care; Information science; Information systems; Middleware; Multi agent systems, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Peixoto2010236,

title = {Semantic interoperability and health records},

author = {H. Peixoto and J. Machado and J. Neves and A. Abelha},

editor = {Takeda H. Takeda H. Takeda H.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898958907&doi=10.1007%2f978-3-642-15515-4_30&partnerID=40&md5=a5010e69798b69d08a47288bc65a3a66},

doi = {10.1007/978-3-642-15515-4_30},

issn = {18684238},

year  = {2010},

date = {2010-01-01},

journal = {IFIP Advances in Information and Communication Technology},

volume = {335},

pages = {236-237},

publisher = {Springer New York LLC},

abstract = {Systems Interoperability and Electronic Health Records are responsible for an exponential number of visits in electronic repository, either in terms of medical professionals or related staff. This is paramount for a better and sustainable quality-of-care in clinical assistance and of great potential to medical research. Following these lines of though, we present an agency for the diffusion, integration and archiving of medical information, and show how semantic web can enforce the use of electronic documents in order to envisage free-paper hospitals. © IFIP International Federation for Information Processing 2010.},

note = {cited By 10; Conference of 1st IMIA/IFIP Joint Symposium on E-Health, 2010 held as part of World Computer Congress, WCC 2010 ; Conference Date: 20 September 2010 Through 23 September 2010; Conference Code:112909},

keywords = {Clinical research; Health care; Information systems; Medical computing; Records management; Semantics, Electronic document; Electronic health record; Electronic repositories; Exponential numbers; Medical information; Medical professionals; Semantic interoperability; Systems interoperability, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Alves2010266,

title = {Interoperability performance in a healthcare environment},

author = {F. Alves and A. Abelha and J. Machado and J. Neves and J. Neves},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898661870&partnerID=40&md5=8d16768c682caf8c3fc2c87ae7ace186},

year  = {2010},

date = {2010-01-01},

journal = {ESM 2010 - 2010 European Simulation and Modelling Conference},

pages = {266-270},

publisher = {EUROSIS},

address = {Hasselt},

abstract = {HL7(Health Level 7) provides interoperability standards that improve patient treatment, optimize the work flow, reduce the ambiguity and improve the knowledge transfer between healthcare facilities, governmental agencies and the provider community, i.e., all these processes must be handled with scientific accuracy and technical ability, with compromising transparency, responsibility and practicability. Indeed, any healthcare application need to communicate with its peers, once their added value is based on integration. In order to accomplish this goal we will consider performance studies of HL7 messages on a client-server architecture built on Mirth Connect and tested with client and server running on localhost, client and server on separate machines but in the same network and client and server on different machines and different networks.},

note = {cited By 0; Conference of 24th Annual European Simulation and Modelling Conference, ESM 2010 ; Conference Date: 25 October 2010 Through 27 October 2010; Conference Code:104375},

keywords = {Client server computer systems; Knowledge management; Modal analysis; Patient treatment, Client-server architectures; Governmental agency; Health care application; Health level 7; Healthcare environments; Healthcare facility; Mirth Connect; Performance, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Miranda2009205,

title = {Interoperability and healthcare},

author = {M. Miranda and J. Duarte and A. Abelha and J. Machado and J. Neves},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898619959&partnerID=40&md5=f7989a0ae6b9affd1048f8f792cbbb61},

year  = {2009},

date = {2009-01-01},

journal = {ESM 2009 - 2009 European Simulation and Modelling Conference: Modelling and Simulation 2009},

pages = {205-212},

publisher = {EUROSIS},

address = {Leicester},

abstract = {In our research group work is being conducted on how to develop self organised Engineered Information Systems (EIS), which could enable researchers to create programs with significantly improved functionalities, leading to a more efficient and faster computation. These EIS are based on an original DNA origami which may be designed to serve as a scaffold for electronic workers (or software agents), going beyond existing technology either in terms of Socialization, Interoperability or the process of quantification of the Quality-of-Information (Qol) being exploited.},

note = {cited By 8; Conference of 23rd European Simulation and Modelling Conference, ESM 2009 ; Conference Date: 26 October 2009 Through 28 October 2009; Conference Code:104370},

keywords = {Dna origamis; Quality-of-information; Research groups; Self-organised, Health care; Information systems; Integration; Medical computing; Modal analysis; Multi agent systems; Scaffolds, Interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}