智慧型醫療照護雲端系統之建置研究
張瑞雄 彭勝龍
DOI:10.6283/JOCSG.2014.2.3.205
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中文摘要 在一套完整的居家照護系統中，無論是影像辨識或巡航監控，甚至是環境感測與行為警示技術，均需要即時且大量的運算，此特徵正符合巨量資料的標準，即為速度(velocity)、資料量(volume)以及資料多元性(variety)；因此，為了能讓各種系統與設備順利運行並有效降低系統複製成本，使用雲端運算技術絕對是勢在必行；此外，將居家照護系統連接上雲端的優勢更遠大於使用本地設備，例如歷史資料的安全性與可靠性、彈性且可輕易擴充的運算能力，以及分析歸納監測資訊以達到判斷當前狀態與預測未來發展可能性；然而迴異於一般雲端運算架構的部分，在於各個系統間的資訊收集與運算結果必須達到共享與同步，因此如何能建立一個協同各系統調控與計算結果的雲端運算系統將是個重大的挑戰。
本計畫將針對異質性系統間的資料，進行處理以及資料的傳遞與同步，研發各種應用程式介面與運算模型，而工作項目包含有建立硬體設備、資料檢索平台、運算模型與加密技術，並繼續研讀最新的運算技術資料用以精進本計畫之運算效能，維持雲端計算性能的擴充性。
關鍵字：健康照護、巨量資料、雲端運算
文章建立時間：2014-12-23
引用格式(APA)：
張瑞雄, 彭勝龍(2014)。 智慧型醫療照護雲端系統之建置研究。
福祉科技與服務管理學刊， 2(3)， 205-214。
A study of implementing an intelligent healthcare cloud system
Chang, R.-S., Peng, S.-L.
English Abstract In a complete home care system, whether it is image recognition, cruise control, even environmental sensing and act warning technologies requires immediate and large amounts of computation; this feature satisfies the three V’s of big data, which are “Velocity”, “Volume” and “Variety”. Therefore, in order to allow a variety of systems and equipment running smoothly and reduce the system cost of reproduction effectively, using cloud computing technology is absolutely imperative. In addition, for home care system, the advantage of cloud connected is better than using local equipment, such as security and reliability of the historical data, flexible and easily scalable computing capacity, and analyzing the information of monitoring in order to evaluate the current status and predict the possibilities of development. However, different from the general architecture of cloud computing is that information collection and calculation results of the various systems must be shared and synchronized. Consequently, how to establish a heterogeneous cloud computing system to regulate every sub-system will be a major challenge.
This project is going to focus on data transmission and synchronization in heterogeneous cloud system to develop various API and computing model. Our works include the establishment of hardware, information retrieval platform, computing models and encryption technologies. Furthermore, we still continue to study the latest technical documents to improve our computing performance and scalability.Keywords：healthcare, big data, cloud computing