Staff meeting的問題，透過圖書和論文來找解法和答案更準確安心。 我們查出實價登入價格、格局平面圖和買賣資訊

Combating Online Health Misinformation: A Professional’s Guide to Helping the Public

為了解決Staff meeting的問題，作者 這樣論述：

Catherine Arnott Smith, PhD, is Professor in the Information School and a Discovery Fellow, Virtual Environments Group, Wisconsin Institutes for Discovery, University of Wisconsin-Madison. She is a former medical librarian who moved into biomedical informatics for her PhD through the Center (now Dep

artment) of Biomedical Informatics at the University of Pittsburgh (2002), where she was a National Library of Medicine medical informatics predoctoral trainee. Her research centers on consumer interactions with clinical information systems, mediated through text, in settings that range from patient

portals to public libraries to disabilities support centers. Alla Keselman, PhD, is a Senior Social Science Analyst in the Office of Engagement and Training, National Library of Medicine, Bethesda, MD. She holds a PhD in human cognition and learning and an MA in biomedical informatics from Columbia

University. Dr. Keselman coordinates NLM efforts in evaluating the impact of its health information outreach and community engagement programs. Her research interests include lay understanding of complex health concepts, scientific literacy, and the provision of health information outside clinical

settings. She has done work on bringing health and environment-related topics to the science classroom and conducted research into the role of libraries in providing health information to the public. Jointly, Dr. Catherine Arnott Smith and Dr. Alla Keselman co-edited Meeting Health Information Needs

Outside Of Healthcare: Opportunities and Challenges (2015, Elsevier) and co-wrote Consumer Health Informatics: Enabling Digital Health for Everyone (in press Dec 2020, Chapman & Hall). Amanda J. Wilson, MLS, is Chief, Office of Engagement and Training (OET) at the National Library of Medicine. She

holds a MS in Library Science from the University of North Carolina at Chapel Hill and a BA in music and psychology from Emory University. OET brings together the general engagement, training, and other outreach staff from across the library whose primary focus has been on the Library’s presence acr

oss the U.S. and internationally, and coordinates the National Network of Libraries of Medicine (NNLM), the field force for the National Library of Medicine. Wilson is also an adjunct professor at The Catholic University of America Department of Library and Information Science.

Staff meeting進入發燒排行的影片

重症病人家屬需求、醫病共享決策與醫療滿意度之關係

為了解決Staff meeting的問題，作者王如慧 這樣論述：

本研究目的是了解及驗證重症病人家屬對其醫療照護需求、醫病共享決策與醫療滿意度的相互關係與影響效果。採橫斷式相關性研究設計，以方便取樣方式，收集資料以南部某醫學中心所有成人加護病房的成年主要照顧者為研究對象，共收案177人。本研究以結構式問卷進行資料收集，內容包括：（一）中文版重症病人家屬需求問卷；（二）醫病共享決策調查問卷；（三）住院病人滿意度調查表；（四）個人基本資料問卷等四部分，採用SPSS 23.0版統計軟體進行資料建檔與統計分析。統計分析採：描述性統計包括次數、百分比、平均值、標準差、皮爾森積差相關分析、t檢定、單因子變異數分析(one-way ANOVA)及迴歸分析等。 研究結果

顯示重症病人家屬的各項需求與醫療滿意度呈正向相關，「SDM」可以中介重症病人家屬需求以及醫療滿意度之間的關係。執行SDM可有效增進醫病溝通，滿足病人或家屬的訊息需求、解除疑惑並在溝通後能自我決策。期望本研究結果能運用在重症病人家屬，提共滿足其需求之照護措施，以及病人與主要照顧者之SDM推行，以增加重症病人的照護品質，提升醫療滿意度。

Combating Online Health Misinformation: A Professional’s Guide to Helping the Public

為了解決Staff meeting的問題，作者 這樣論述：

Catherine Arnott Smith, PhD, is Professor in the Information School and a Discovery Fellow, Virtual Environments Group, Wisconsin Institutes for Discovery, University of Wisconsin-Madison. She is a former medical librarian who moved into biomedical informatics for her PhD through the Center (now Dep

artment) of Biomedical Informatics at the University of Pittsburgh (2002), where she was a National Library of Medicine medical informatics predoctoral trainee. Her research centers on consumer interactions with clinical information systems, mediated through text, in settings that range from patient

portals to public libraries to disabilities support centers. Alla Keselman, PhD, is a Senior Social Science Analyst in the Office of Engagement and Training, National Library of Medicine, Bethesda, MD. She holds a PhD in human cognition and learning and an MA in biomedical informatics from Columbia

University. Dr. Keselman coordinates NLM efforts in evaluating the impact of its health information outreach and community engagement programs. Her research interests include lay understanding of complex health concepts, scientific literacy, and the provision of health information outside clinical

settings. She has done work on bringing health and environment-related topics to the science classroom and conducted research into the role of libraries in providing health information to the public. Jointly, Dr. Catherine Arnott Smith and Dr. Alla Keselman co-edited Meeting Health Information Needs

Outside Of Healthcare: Opportunities and Challenges (2015, Elsevier) and co-wrote Consumer Health Informatics: Enabling Digital Health for Everyone (in press Dec 2020, Chapman & Hall). Amanda J. Wilson, MLS, is Chief, Office of Engagement and Training (OET) at the National Library of Medicine. She

holds a MS in Library Science from the University of North Carolina at Chapel Hill and a BA in music and psychology from Emory University. OET brings together the general engagement, training, and other outreach staff from across the library whose primary focus has been on the Library’s presence acr

oss the U.S. and internationally, and coordinates the National Network of Libraries of Medicine (NNLM), the field force for the National Library of Medicine. Wilson is also an adjunct professor at The Catholic University of America Department of Library and Information Science.

客家博物館數位典藏詮釋資料欄位探討：以客家文化資產數位網為例

為了解決Staff meeting的問題，作者吳詩婷 這樣論述：

博物館肩負著保存、傳承人類歷史文明、文化知識的重責大任，隨著網際網路的發展，文物數位化成了文化資產保存的重要方法。以保存客家文化為主要宗旨的客家博物館也逐步開展數位典藏，並有顯著的成果。不過客家博物館在數位典藏詮釋資料的發展與學術討論皆較少，亟需投入更多的研究，俾借助資通科技與數位環境，促進客家文化之發揚與傳播。客家文化資產數位網內容包含全國多間客家博物館之蒐藏以及許多存於民間的珍貴文化資產，內容相當豐富，但在各類型文化資產資料結構（欄位）的呈現上繁紛不一致，許多欄位的意義也難辨別，難以將豐碩的數位典藏內容完整展現於大眾眼前。為讓社會大眾得以深入鑽研客家文化深厚底蘊，本研究選擇以蒐藏多元的客

家文化資產數位網為案例，透過資料結構標準與客家數位典藏欄位之回顧，作為本研究分析的學理基礎資訊，接著以比較分析法進行欄位調整，再訪談客家學者、客發中心典藏人員與普查人員，檢視調整後欄位的合理性與適用性，最終整理出一套50個數位典藏詮釋資料欄位的客家文化資產數位網詮釋資料結構。研究結果顯示前述以「整合」為原則的客家文化資產數位網詮釋資料結構欄位，應能涵蓋表達客家文化資源重要資訊之需求。本研究最後依據研究結論提出客家博物館詮釋資料規劃的建議：(1)針對館內多種詮釋資料欄位可進行整合分析、(2)應為館內詮釋資料欄位編擬相關著錄規則、(3)確實區分欄位詮釋主體，避免著錄時的混淆、(4)適度開放民眾所需

的詮釋資料。依據上述建議，本研究另提出3點未來研究方向：(1)研究範圍拓展至客發中心所有的典藏作業、(2)納入資料內容標準與資料值標準進行探討(3)建置一套適用於全國客家博物館的詮釋資料標準。期望本研究成果可供客家博物館建置數位典藏時作參考之用。