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基於雲端運算與知識本體之核醫警示雲

Cloud-Ontology Based of Nuclear Medicine Alert Cloud in Department of Nuclear Medicine

摘要


目的:核子醫學科與放射診斷科之造影檢查的不同,在於核醫造影為生理功能性的檢查,因此,不管是疾病或藥物都會影響影像之造影品質,本研究希望在高雄長庚紀念醫院發展一套以雲端運算與知識本體為核心技術的核醫警示雲。方法:本研究以長庚紀念醫院高雄院區之核子醫學科造影檢查病人用藥史為主,核醫警示雲架構在Google的應用服務引擎開發(Google APP Engine, GAE)下列的雲服務,分別為藥史收集代理雲、病人用藥查詢雲、病人用藥警示雲與病人用藥諮詢雲、核醫資料雲與藥品檢查交互作用知識雲。結果:本研究導入雲端運算技術將臨床用藥與核醫科造影檢查藥物之藥理特性資訊,分析整理建構出核醫警示雲利用警示燈號來表示其嚴重程度,並實際於GAE雲端平台開發出核醫警示雲且以雲服務之型態呈現,提供四朵系統雲與兩朵資訊雲。結論:未來規劃預計將核醫警示雲整合智慧型行動應用軟體APP,建構核醫健康照護雲APP服務,提供核醫科醫師或護理師輸入病歷號則APP即時回覆警示訊息與藥品名稱至智慧型手機或平板電腦,最終目的將改善病人就醫安全。

並列摘要


Objective: Nuclear medicine, unlike conventional radiology, studies the function rather than morphology of our body. Therefore, diseases and drugs affecting the normal physiology of our body will influence the imaging. The aim of the current project is to develop a cloud and ontology-based Nuclear Medicine Healthcare Cloud of Chang Gung Memorial Hospital at Kaohsiung. Methods: This study Kaohsiung Chang Gung Memorial Hospital, Hospital District of Nuclear Medicine imaging patient medication history-based, nuclear medicine health care structure in the Google cloud computing ”App Engine (Google APP Engine, GAE)” and use JSP development following six cloud services, namely, Medication history Collection Agent Cloud (MHCC), Medication History Search Cloud (MHSC), Patient Medication Alert Cloud (PMAC), Patient Medication Consultation Cloud (PMCC), Nuclear Medicine Database Cloud (NMDC) and Drug Interaction Ontology Cloud (DIOC). Results: This research into clinical use cloud computing technology and nuclear medicine contrast examination pharmacological properties of drug information, and analysis to construct nuclear medicine examination cloud interaction knowledge. Nuclear Medicine Alert Cloud provide four system clouds and two database clouds. Conclusions: The future work of this research is to integration of patient medication alert cloud service and APP application. This cloud service name is ”Nuclear Medicine Healthcare Cloud”. The nuclear medicine of doctor or nurse should be input chart number that the nuclear medicine healthcare cloud APP response alert message and drug name to smartphone or tablet. Overall, it will improve the safety of patient care.

參考文獻


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被引用紀錄


陳俐靜(2016)。雲端運算於健康管理推薦機制之研究〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2016.00092

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