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Authors: Dieter Gawlick ; Adel Ghoneimy and Zhen Hua Liu

Affiliation: Oracle Corporation, United States

ISBN: 978-989-8425-34-8

ISSN: 2184-4305

Keyword(s): Declarative programming, Data management, Knowledge management, Tagging, Meta-queries.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Cloud Computing ; Data Engineering ; Data Mining ; Databases and Datawarehousing ; Databases and Information Systems Integration ; Datamining ; Decision Support Systems ; e-Health ; Enterprise Information Systems ; Health Information Systems ; Healthcare Management Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Pattern Recognition and Machine Learning ; Pervasive Health Systems and Services ; Platforms and Applications ; Sensor Networks ; Signal Processing ; Society, e-Business and e-Government ; Soft Computing ; Software Systems in Medicine ; Web Information Systems and Technologies

Abstract: Patient care is typically supported by several incompatible applications in terms of their data models and semantics, ranging from support for surgery, to ICUs, to standard health care. These programs are focused on specific situation and give doctors a very limited view at patient information. This paper argues that the IT technology has evolved to a point that it is now possible to develop a generic patient care application that manages all patient data for all situations. Furthermore, this application provides a framework for capturing medical knowledge. With this knowledge the application is able to extract medically relevant information from data, even if the extraction is outside of the medical expertise of a doctor or if the extraction is outside of the capability of the human brain. Medical knowledge can be customized by domain, personal views, and patient condition. Additional benefits are: alerting the right doctor of time critical situations, identifying relevant informatio n from a (new) patient’s history, and timely sharing of (new and codified) medical knowledge and experience across the medical community. The ideas are based on prototype work between the University of Utah, Health Science Center (UUHSC), the University of Coimbra, and Oracle (Guerra et al., 2009). (More)

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Paper citation in several formats:
Gawlick, D.; Ghoneimy, A. and Liu, Z. (2011). HOW TO BUILD A MODERN PATIENT CARE APPLICATION.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011) ISBN 978-989-8425-34-8, ISSN 2184-4305, pages 427-432. DOI: 10.5220/0003298404270432

@conference{healthinf11,
author={Dieter Gawlick. and Adel Ghoneimy. and Zhen Hua Liu.},
title={HOW TO BUILD A MODERN PATIENT CARE APPLICATION},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)},
year={2011},
pages={427-432},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003298404270432},
isbn={978-989-8425-34-8},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)
TI - HOW TO BUILD A MODERN PATIENT CARE APPLICATION
SN - 978-989-8425-34-8
AU - Gawlick, D.
AU - Ghoneimy, A.
AU - Liu, Z.
PY - 2011
SP - 427
EP - 432
DO - 10.5220/0003298404270432

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