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Faculdade de Medicina da Universidade do Porto, Faculdade de Ciências da Universidade do Porto, Escola Superior de Tecnologia da Saúde do Porto and CINTESIS
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3 Papers

Development and Implementation of an openEHR Archetype for HIV/AIDS Diagnosis

Topics: Interoperability; Confidentiality and Data Security; Electronic Health Records and Standards; Software Systems in Medicine; Data Visualization; Practice-based Research Methods for Healthcare IT

Authors: Carla Esteves 1 , Nuno Rocha 1 , Emanuel Catumbela 2 , Tiago Silva-Costa 2 , Gustavo Bacelar-Silva 2 and Alberto Freitas 2

Affiliations: 1 Faculty of Medicine and University of Porto, Portugal , 2 Faculty of Medicine, University of Porto and CINTESIS – Center for Research in Health Technologies and Information Systems, Portugal

Digital Object Identifier: 10.5220/0004294403900393

Proceedings of HEALTHINF 2013/BIOSTEC, ISBN: 978-989-8565-37-2

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One of the biggest challenges in maintaining Electronic Health Record (EHR) systems is the necessity to keep clinical knowledge up-to-date with the scientific evidence. Recently the standard modeling based on archetypes, proposed by the openEHR Foundation has proved effective in creating flexibly and semantically interoperable medical records. This paper describes the process of specifying and modeling an archetype for the diagnosis of HIV/AIDS in a hospital information system designated by SaveCare.
Collapse Button Related Ontology Subjects/Areas/Topics (25)
Artificial Intelligence

e-Business

Ontologies and the Semantic Web

Biomedical Engineering

Electronic Health Records and Standards

Practice-based Research Methods for Healthcare IT

Collaboration and e-Services

Enterprise Information Systems

Sensor Networks

Complex Systems Modeling and Simulation

Health Information Systems

Simulation and Modeling

Confidentiality and Data Security

Integration/Interoperability

Software Agents and Internet Computing

Data Engineering

Interoperability

Software and Architectures

Data Management and Quality

Knowledge Management and Information Sharing

Software Systems in Medicine

Data Manipulation

Knowledge-Based Systems

Symbolic Systems
Data Visualization

COMPLIANCE OF PUBLICLY AVAILABLE MAMMOGRAPHIC DATABASES WITH ESTABLISHED CASE SELECTION AND ANNOTATION REQUIREMENTS

Topics: Decision Support Systems; Databases and Datawarehousing; Evaluation and Use of Healthcare IT; Pattern Recognition and Machine Learning

Authors: Inês C. Moreira 1 , Gustavo Bacelar-Silva 2 and Pedro Pereira Rodrigues 3

Affiliations: 1 Faculty of Medicine of the University of Porto, Faculty of Sciences of the University of Porto, Superior School of Health Technology of Porto and Faculty of Engineering of University of Porto, Portugal , 2 Faculty of Medicine of the University of Porto, Faculty of Sciences of the University of Porto and CINTESIS, Portugal , 3 Faculty of Medicine of the University of Porto and CINTESIS, Portugal

Digital Object Identifier: 10.5220/0003704303370340

Proceedings of HEALTHINF 2012/BIOSTEC, ISBN: 978-989-8425-88-1

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Mammographic databases play an important role in the development of algorithms aiming to improve Computer-Aided Detection and Diagnosis systems (CAD). However, these often do not take into consideration all the requirements needed for a proper study, previously discussed at the Biomedical Image Processing Meeting in 1993. Case selection and annotation requirements are the most commonly referenced in literature, when describing a database used for the development of such algorithms. This work aims to assess the compliance and suitability of case selection and annotation requirements in the publicly available mammographic databases for development and optimization of CADs. A literature review has been made, applying proper selection criteria related to the research question. In the literature, we found citations to 3 publicly available mammographic databases and ten having restricted access. Through the analysis of the results attained, we noticed that none of the two requirements previously described is on its way to be fully complied in mammographic databases. We can conclude that researchers need a database that fulfils all the mentioned requirements in order to develop efficacious and effective CAD systems. We also believe that the requirements, discussed in 1993, need to be reviewed and updated. New paradigms and ideas to increase algorithms' performance are needed in order to improve CAD schemes.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Biomedical Engineering

Decision Support Systems

Health Information Systems

Databases and Datawarehousing

Evaluation and Use of Healthcare IT

Pattern Recognition and Machine Learning

SECURITY AND PRIVACY IN EUROPEAN EHRS - Should Portugal Follow Denmark and Sweden’s Examples?

Topics: Confidentiality and Data Security; Electronic Health Records and Standards

Authors: Catarina Travassos 1 , Inês C. Moreira 2 , Patrícia Ferreira 1 and Gustavo Bacelar-Silva 3

Affiliations: 1 Faculdade de Medicina da Universidade do Porto and Faculdade de Ciências da Universidade do Porto, Portugal , 2 Faculdade de Medicina da Universidade do Porto, Faculdade de Ciências da Universidade do Porto and Escola Superior de Tecnologia da Saúde do Porto, Portugal , 3 Faculdade de Medicina da Universidade do Porto, Faculdade de Ciências da Universidade do Porto, Escola Superior de Tecnologia da Saúde do Porto and CINTESIS, Portugal

Digital Object Identifier: 10.5220/0003735003540357

Proceedings of HEALTHINF 2012/BIOSTEC, ISBN: 978-989-8425-88-1

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EHR implementation is an important yet challenging technology that provides better patient care by allowing and providing more accurate and available patient information. An efficient digital health service should ensure not only the quality of data processing, but also the confidentiality and safety of patient data. Portugal is now designing a national EHR and discussing its main characteristics and contents. Our study analyses the experiences of two countries where EHRs were implemented: Denmark and Sweden. The aim was to compare them when it comes to measures taken regarding privacy and security of data and also to what Portugal has planned to achieve as described in available documentation.
Collapse Button Related Ontology Subjects/Areas/Topics (4)
Biomedical Engineering

Electronic Health Records and Standards

Health Information Systems
Confidentiality and Data Security

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