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The CAP cancer protocols – a case study of caCORE based data standards implementation to integrate with the Cancer Biomedical Informatics Grid

Tobias, Jonathan and Chilukuri, Ram and Komatsoulis, George A and Mohanty, Sambit and Sioutos, Nicholas and Warzel, Denise B and Wright, Lawrence W and Crowley, Rebecca S (2006) The CAP cancer protocols – a case study of caCORE based data standards implementation to integrate with the Cancer Biomedical Informatics Grid. BMC Medical Informatics and Decision Making, 6 (1).

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<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>The Cancer Biomedical Informatics Grid (caBIG™) is a network of individuals and institutions, creating a world wide web of cancer research. An important aspect of this informatics effort is the development of consistent practices for data standards development, using a multi-tier approach that facilitates semantic interoperability of systems. The semantic tiers include (1) information models, (2) common data elements, and (3) controlled terminologies and ontologies. The College of American Pathologists (CAP) cancer protocols and checklists are an important reporting standard in pathology, for which no complete electronic data standard is currently available.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>In this manuscript, we provide a case study of Cancer Common Ontologic Representation Environment (caCORE) data standard implementation of the CAP cancer protocols and checklists model – an existing and complex paper based standard. We illustrate the basic principles, goals and methodology for developing caBIG™ models.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>Using this example, we describe the process required to develop the model, the technologies and data standards on which the process and models are based, and the results of the modeling effort. We address difficulties we encountered and modifications to caCORE that will address these problems. In addition, we describe four ongoing development projects that will use the emerging CAP data standards to achieve integration of tissue banking and laboratory information systems.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion</jats:title> <jats:p>The CAP cancer checklists can be used as the basis for an electronic data standard in pathology using the caBIG™ semantic modeling methodology.</jats:p> </jats:sec>


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Tobias, Jonathan
Chilukuri, Ram
Komatsoulis, George A
Mohanty, Sambit
Sioutos, Nicholas
Warzel, Denise B
Wright, Lawrence W
Crowley, Rebecca S
Date: December 2006
Date Type: Publication
Journal or Publication Title: BMC Medical Informatics and Decision Making
Volume: 6
Number: 1
Publisher: Springer Science and Business Media LLC
DOI or Unique Handle: 10.1186/1472-6947-6-25
Schools and Programs: School of Medicine > Biomedical Informatics
Refereed: Yes
MeSH Headings: Clinical Protocols; Database Management Systems; Humans; Internet; Medical Informatics; Medical Oncology--standards; National Institutes of Health (U.S.); Natural Language Processing; Neoplasms--classification; Neoplasms--pathology; Pathology, Clinical--standards; Semantics; Systems Integration; United States; User-Computer Interface; Vocabulary, Controlled
Other ID: NLM PMC1524939
PubMed Central ID: PMC1524939
PubMed ID: 16787533
Date Deposited: 29 Aug 2012 20:41
Last Modified: 05 Sep 2021 14:55


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