| Applying ontology techniques to develop a medication history search and alert system in department of nuclear medicine. | |
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MedLine Citation:
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PMID: 20703656 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Nowadays, patients usually take more than three drugs for diseases such as hypertension, diabetes, and dyslipidemia. Hence, nuclear medicine physicians should be very careful about the medication history of each patient and ensure that their medication will not cause false positive or false negative imaging results, because either condition will interfere with adequate treatment of the patient and result in a wrong diagnosis. The aim of the present paper is to develop an ontology-based medication search and alert system for scintiphotography of Chang Gung Memorial hospital at Kaohsiung. Composed of four sub-systems, including Medication History Collect Agent (MHCA), Medication History Search System (MHSS), Patient Medication Consultation System (PMCS), and Patient Medication Alert System (PMAS), this medication search and alert system for scintiphotography is expected to support decision making of nuclear medicine examination, improve accuracy of image reading, and offer detailed data for further research. The ultimate goal of this system is to ensure patient safety. |
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Authors:
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Jui-Jen Chen; Pei-Wen Wang; Yung-Cheng Huang; Hung-Chi Yen |
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Publication Detail:
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Type: Journal Article Date: 2010-07-22 |
Journal Detail:
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Title: Journal of medical systems Volume: 36 ISSN: 0148-5598 ISO Abbreviation: J Med Syst Publication Date: 2012 Apr |
Date Detail:
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Created Date: 2012-03-27 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7806056 Medline TA: J Med Syst Country: United States |
Other Details:
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Languages: eng Pagination: 737-46 Citation Subset: IM |
Affiliation:
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Department of Nuclear Medicine, Chang Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan, 123, Ta Pei Road, Niao Sung Hsiang, Kaohsiung Hsien, Taiwan, Republic of China, china111@ms57.hinet.net. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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