研究生: |
林妙蓮 MIAO-LIEN LIN |
---|---|
論文名稱: |
智慧醫院之研究-以護理站電子白板為例 Toward an Smart Hospital-A case study of Nurse Station’s Intelligent Electronic White Board |
指導教授: |
王孔政
Kung-Jeng Wang |
口試委員: |
曹譽鐘
Yu-Chung Tsao 喻奉天 Vincent F. Yu |
學位類別: |
碩士 Master |
系所名稱: |
管理學院 - 管理研究所 Graduate Institute of Management |
論文出版年: | 2018 |
畢業學年度: | 106 |
語文別: | 中文 |
論文頁數: | 84 |
中文關鍵詞: | 智慧醫療 、智慧醫院 、智慧病房 、護理站智慧電子白板 、柏拉圖法 |
外文關鍵詞: | Smart Medical System, Smart Hospital, Smart Ward, Nursing Station Intelligent Electronic Whiteboard, Pareto Diagram |
相關次數: | 點閱:253 下載:9 |
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學號:M10516107
論文名稱:智慧醫院之研究-以護理站電子白板為例
頁數:73頁
院所組別:國立臺灣科技大學管理研究所EMBA碩士在職專班
畢業期間及提要別:一百零七學年度第二學期碩士論文提要
研究生:林妙蓮
指導教授:王孔政博士
世界各國都面臨人口老化的問題,臺灣也不例外。根據內政部最新的統計資料,我國在2018年3月底65歲以上老年人口占總人口比率已經達到 14.05%,也就是現今人口結構中,每7 個人中就有1個是老人,代表臺灣已正式邁入「高齡社會(aged society)」意味著未來醫療照護需求人口會越來越多,而醫護人力不足的問題也將日益嚴重,據臺灣醫療改革基金會(Taiwan Healthcare Reform Foundation, THRF)2013年的資料指出臺灣護理師平均1人需照顧13位病人,是日本的近2倍,更是澳洲的近3倍。因此,如何運用物聯網(Internet of things, IoT)技術,優化醫護人員的工作流程,提升醫療服務工作效率,解決醫院人力不足的問題,實為當務之急。本研究探討智慧醫院基礎設備之護理站智慧電子白板(Intelligent Electonic White Board, IEWD)使用狀況與未來需求,以質化研究方法,深度訪談四家醫院之醫療服務人員,其中包含1位督導、3位護理長、5位護理師及7位實習護理師總計16位接受訪談。訪談結果經過整理、歸納與分析,彙整出護理站智慧電子白板目前使用上的方便性與常見的問題及使用人員對未來護理站智慧電子白板功能的期望與建議。本研究結果可以提供醫療IOT相關業者在發展智慧醫院相關系統時或醫院發展智慧醫療相關平台,包括使用者界面、系統優化及未來發展之參考。
Population ageing is becoming increasingly serious problem worldwide, as well as in Taiwan. According to latest statistical data March 2018, from Taiwan Ministry of the Interior, the proportion of people 65 years or older reaches 14.05 %, is regarded as an “aged society”, it means there is 1 elderly of 7 population in Taiwan. It also indicates that more and more people need mediacl cares in near future, and the shortage of healthcare provider will be worse. According to the data from The Taiwan Healthcare Reform Foundation (THRF) in 2013, an average of 1 nurse in Taiwan needs to take care of 13 patients, which is nearly 2 times that of Japan and nearly 3 times that of Australia. To resolve the problem, using and developing IoT to improve the work efficincy of medical staff is urgent priority. This thesis studies the utilization of Intelligent Electonic White Board (IEWD), explore nurses work process and refining expectations by qualitative research method by interview 1 supervisor, 3 head nurses, 5 nurses, and 7 practice nurses from 4 hospitals. The present study has sorted out and analyized the collected data, trying to identify the design gap of Intelligent Electonic White Board by medical staffs’ practical experience, along with discovering a roadmap of an smart hospital in future.
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