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Authors: Milton Santos ; Luis Bastião ; Alexandra Queirós ; Augusto Silva and Nelson Fernando Pacheco da Rocha

Affiliation: University of Aveiro, Portugal

Keyword(s): DICOM Data Mining, Health Care Quality, Quality Dimensions, Radiology Quality Indicators.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Data Engineering ; Design and Development Methodologies for Healthcare IT ; e-Business ; Enterprise Information Systems ; Evaluation and Use of Healthcare IT ; Health Information Systems ; Healthcare Management Systems ; Integration/Interoperability ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Sensor Networks ; Simulation and Modeling ; Software Agents and Internet Computing ; Software and Architectures ; Symbolic Systems

Abstract: The paper presents the information model of the DICOM - Radiology Performance Indicator (DICOMRPI). This model can be used to aggregate information related to the characterization of medical imaging health care services, namely information incorporated in the studies according to the format of the Digital Imaging and Communication in Medicine (DICOM). The model comprises several components including the ones required to define the context of medical imaging health care services (e.g. the entities involved) and the context of use of the indicator (e.g. Quality Dimensions). For the validation of the proposed information model 51,277 Digital Radiography (DX) studies performed on 27,559 patients from a single health care facility were considered. The results of this validation within the scope of DX modality make possible to anticipate the DICOM-RPI relevance in other imaging modalities and its contribution for comprehensive analysis of medical imaging health care services.

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Paper citation in several formats:
Santos, M.; Bastião, L.; Queirós, A.; Silva, A. and Pacheco da Rocha, N. (2015). Information Model for Radiology Performance Indicators based on DICOM. In Proceedings of the International Conference on Health Informatics (BIOSTEC 2015) - HEALTHINF; ISBN 978-989-758-068-0; ISSN 2184-4305, SciTePress, pages 182-190. DOI: 10.5220/0005286201820190

@conference{healthinf15,
author={Milton Santos. and Luis Bastião. and Alexandra Queirós. and Augusto Silva. and Nelson Fernando {Pacheco da Rocha}.},
title={Information Model for Radiology Performance Indicators based on DICOM},
booktitle={Proceedings of the International Conference on Health Informatics (BIOSTEC 2015) - HEALTHINF},
year={2015},
pages={182-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005286201820190},
isbn={978-989-758-068-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2015) - HEALTHINF
TI - Information Model for Radiology Performance Indicators based on DICOM
SN - 978-989-758-068-0
IS - 2184-4305
AU - Santos, M.
AU - Bastião, L.
AU - Queirós, A.
AU - Silva, A.
AU - Pacheco da Rocha, N.
PY - 2015
SP - 182
EP - 190
DO - 10.5220/0005286201820190
PB - SciTePress

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