Authors:
Anca Bucur
;
Jasper van Leeuwen
;
Richard Vdovjak
and
Jeroen Vrijnsen
Affiliation:
Philips Research Europe, Netherlands
Keyword(s):
Clinical information systems, Genomic-enabled EHR, Data models, Microarray, HL7, MIAME, MAGE.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Cloud Computing
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
e-Business
;
e-Health
;
Enterprise Information Systems
;
Health Information Systems
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Platforms and Applications
;
Sensor Networks
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software and Architectures
;
Support for Clinical Decision-Making
;
Symbolic Systems
Abstract:
With the new discoveries in cancer research, increasing amounts of genomic data are starting to be used in the context of the cancer patient management and should become part of the patient record. We propose a high level data model for incorporating microarray data in a future genomic-enabled clinical information system, based on existing and emerging standards. We argue that a genomic-enabled EHR system is becoming highly relevant for clinical practice taking into account the new validated discoveries from clinical research, but it could also have an important role to support new research by collecting and integrating large amounts of data from clinical care and enabling extensive querying.