醫療品質雜誌最新文献

{"title":"國網中心於執行醫療大數據相關計畫之角色","authors":"王聿泰 王聿泰","doi":"10.53106/199457952023111706003","DOIUrl":"https://doi.org/10.53106/199457952023111706003","url":null,"abstract":"<p>生物檢體數位化後將有機會永久保存生物檢體中的資訊與成就資料再利用之最大效益，然而數位化後的生醫巨量資料將仰賴大型的資訊基礎設施使資料服務為之不墜。近年來隨著生醫科技的進展，無論是基因定序或人工智慧技術的應用下，資料的規模，或者是計算規模，與背後的資訊設備需求，早已不是個別研究人員的實驗室資源所可以承受。再者隨著對個人資料保護的要求、注重資訊安全，及尊重資料當事人對自身資料權利表達機會，乃至於資料使用者對於資料分析的方便性與功能完整性的要求，讓生醫資料的運用與處理更仰賴於各項先進資訊技術集結，透過資訊專業建置出符合各界期待的生醫平台，讓生醫資料發揮其最大的效益。</p> <p>&amp;nbsp;</p><p>The digitalization of biosamples offers an opportunity to permanently retain the information contained in biosamples and maximize data reutilization. However, the digitalized biomedical big data require large-scale information infrastructure to sustain relevant services. With the advancement of biomedical technologies, applications involving gene sequencing and artificial intelligence have exceeded a level that individual researchers or laboratories can afford in terms of data volume, computational capacity, and hardware requirements. The demands for personal information protection, information security, right of information self-determination, and the convenience and functional completeness of data analysis have also made biomedical data application and processing more reliant on advanced information technologies. A biomedical platform that meets the expectations of all stakeholders should thus be established through advanced information technologies to extract the maximum potential from biomedical data.</p> <p>&amp;nbsp;</p>","PeriodicalId":494598,"journal":{"name":"醫療品質雜誌","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135764955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"透過名義團體法建置臺灣營養師次核心能力","authors":"黃孟娟 黃孟娟, 郭素娥 Meng-Chuan Huang, 楊妹鳳 Su-Er Guo, 陳珮蓉 陳珮蓉, 蘇秀悅 蘇秀悅, 張惠萍 張惠萍, 謝惠敏 謝惠敏, 蔡佩芬 蔡佩芬, 張巧宜 張巧宜, 楊志偉 Chiao-Yi Chang","doi":"10.53106/199457952023111706007","DOIUrl":"https://doi.org/10.53106/199457952023111706007","url":null,"abstract":"<p>勝任能力為導向醫學教育(Competency-based medical education, CBME)為醫學教育改革的潮流，將核心能力融入臨床任務的可信賴專業活動(entrustable professional activities, EPAs)之訓練與評估架構，為臺灣近期CBME之發展趨勢，而建構職類專業特色的核心能力架構為重要基礎。本專案透過共識方法學，建置教學醫院營養師次核心能力。專案對象由全國教學醫院營養職類臨床指導老師(n=30)組成CBME推展工作小組(CBME Taskforce)，以名義團體法(nominal group technique, NGT)共識及制定營養師15項次核心能力及其說明，並討論新進營養師七大EPAs任務(http://www.dietitians.org.tw/program/view/17)之相對應次核心能力(EPAs- sub-competencies matrix)，以Likert Scale問卷調查顯示86%(26/30)專家非常認同「共識核心能力及次核心能力後，EPAs更有助於提升專業認同」。本專案首度提出臺灣教學醫院營養師核心能力框架及對應EPAs之次核心能力，共識過程對凝聚專業認同有助益。</p> <p>&amp;nbsp;</p><p>Competency-based medical education (CBME) has become increasingly prominent in efforts to reform medical education. This approach integrates core competencies into a framework for training and evaluation, known as entrustable professional activities (EPAs), and is gaining traction in Taiwan. A foundational step in this approach is the establishment of a framework of profession-specific core competencies. This project used consensus methodology and the nominal group technique (NGT) to establish sub-competencies for dietitians in teaching hospitals. A CBME taskforce, composed of clinical dietitian instructors (n = 30) from teaching hospitals nationwide, employed the NGT to reach consensus on a 15-item framework for the sub-competencies of dietitians and on the descriptions of these competencies. The project also developed an EPA&amp;ndash;sub-competency matrix corresponding to the seven major EPAs for entry-level dietitians (http://www.dietitians.org.tw/program/view/17). A questionnaire based on a 5-point Likert scale revealed that 86% (26/30) of participants strongly agreed that &amp;ldquo;after consensus on the core and sub-competencies is achieved, EPAs are more effective in cultivating a professional identity.&amp;rdquo; This project is the first to propose a competency framework and corresponding EPA&amp;ndash;sub-competency matrix for entry-level dietitians in teaching hospitals in Taiwan, attesting to the beneficial role of the consensus process in fostering professional identity. </p> <p>&amp;nbsp;</p>","PeriodicalId":494598,"journal":{"name":"醫療品質雜誌","volume":"5 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135765132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"建構性別友善的醫療環境","authors":"鍾成鴻 鍾成鴻","doi":"10.53106/199457952023111706009","DOIUrl":"https://doi.org/10.53106/199457952023111706009","url":null,"abstract":"<p>本文主要探究如何藉由我國推動性別主流化政策，以性別觀點去評估立法、政策與方案等具計畫性的行動，尤以深具醫學、科學、科技等專業領域的醫療環境中能夠去如何落實、推動、實踐性別主流化，皆為醫療場域配合國家重要政策，甚至這是與國際世界各國互相接軌、密不可分的過程與趨勢。再者，文中探討在現行醫療場域如何可以透過性別主流化的六大工具，包括性別統計、性別分析、性別預算、性別影響評估、性別意識培力與性別平等機制運作的執行，藉此發現淺藏於不同醫療場域可能造成性別刻板印象或是欠缺性別意識的情況下而影響到醫療環境下出現性別差異。其次，我們能夠思考透過性別主流化方式改善醫療場域中性別盲點，不僅能夠提升對於病人健康照護品質提升，進一步能夠幫助弱勢族群能享有更加便利與友善的醫療專業服務，使醫療資源能成為全民共享的服務，甚至極力達成性別平等目標，讓醫療現場亦能成為性別友善的優質環境。</p> <p>&amp;nbsp;</p><p>This article mainly explores how to promote gender mainstreaming policies in China and evaluate planned actions such as legislation, policies and programs from a gender perspective, especially how to implement them in medical environments with deep expertise in medicine, science, technology and other fields. , promote and practice gender mainstreaming, all of which are in line with important national policies in the medical field. This is even a process and trend that is inseparable from the international standards and countries around the world. Furthermore, the article explores how six major tools of gender mainstreaming can be used in the current medical field, including gender statistics, gender analysis, gender budgeting, gender impact assessment, gender awareness training and the implementation of gender equality mechanism operations. It was found that being hidden in different medical fields may cause gender stereotypes or a lack of gender awareness, thus affecting the emergence of gender differences in the medical environment. Secondly, we can think about improving gender blind spots in the medical field through gender mainstreaming, which will not only improve the quality of patient health care, but also help disadvantaged groups enjoy more convenient and friendly medical professional services, so that medical resources can become The service is shared by all and even strives to achieve the goal of gender equality, making the medical site a high-quality gender-friendly environment.</p> <p>&amp;nbsp;</p>","PeriodicalId":494598,"journal":{"name":"醫療品質雜誌","volume":"4 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135765135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"人體生物資料庫之知情同意與參與者保護：現在與未來","authors":"林綠紅 林綠紅","doi":"10.53106/199457952023111706004","DOIUrl":"https://doi.org/10.53106/199457952023111706004","url":null,"abstract":"<p>近年來，由於精準醫療發展的需求，帶動生物醫學研究蓬勃發展，以人口群或疾病罹患者群體為基礎的人體生物資料庫（biobank）因為同時蒐集生物檢體、基因資訊與醫療資料，可大量節省研究者於研究過程招募受試者的時間成本，而可方便於串連不同來源的生物或醫療資訊，因而越來受到重視。就生物資料庫的參與者自主權保障而言，取得參與者的知情同意（informed consent），與其他人體研究略有不同。其不同之處在於，生物資料庫所取得的是參與者概括式同意(broad consent)因此，應告知事項更著重於生物資料庫本身運作機制、未來風險的告知、基因資訊對自己與家屬的影響等，也因此參與者同意書法定說明項目較其他人體研究更多，以我國的人體生物資料庫管理條例第7條規定應說明事項即有17項，超過人體研究法定應告知事項9項。其次，就參與者而言，參與生物資料庫面對的生理風險較小，但其他的風險又過於抽象遙遠，容易因此輕忽。整體而言，如何取得參與者有效的同意，完整的知情、充分的理解，應由參與者角度，檢視同意書提供的資訊是否適於理解，說明與取得同意過程，如何發展適合評估方式以參與者確認理解。現行知情同意的過程多較為單向，同意書的說明、資訊的告知較少由參與者角度思考參與生物資料庫的意義。當生物資料庫連結越來越多項目的醫療、非醫療個人資料資訊後，參與者參與將更為重要，亦即，如何確認參與者的真正理解。畢竟，知情同意作為保護參與者自主權，其要件之一即是充分理解，有必要與時俱進引入不同的作法。</p> <p> </p><p>In recent years, due to the demand for the development of precision medicine, biomedical research has been booming. Human biological databases (biobanks) based on population groups or disease patient groups can simultaneously collect biological specimens, genetic information and medical data. It saves researchers the time and cost of recruiting subjects during the research process, and can facilitate the connection of biological or medical information from different sources, so it has attracted more and more attention. In terms of ensuring the autonomy of participants in biological databases, obtaining informed consent from participants is slightly different from other human studies. The difference is that the biodatabase obtains broad consent from the participants. Therefore, the matters that should be notified focus more on the operation mechanism of the biodatabase itself, notification of future risks, and the impact of genetic information on yourself and your family members. etc. Therefore, there are more statutory explanation items in the participant consent form than in other human studies. According to Article 7 of China’s Human Biological Database Management Regulations, there are 17 items that should be explained, exceeding the 9 items that are legally required to be notified in human research. Secondly, as far as the participants are concerned, the physiological risks faced by participating in the biological database are relatively small, but other risks are too abstract and distant, so it is easy to ignore them. Overall, how to obtain effective consent, complete knowledge, and full understanding from participants should be done from the perspective of the participant, including whether the information provided in the consent form is suitable for understanding, explaining and obtaining the consent process, and how to develop appropriate evaluation methods for participation. The person confirms understanding. The current informed consent process is mostly one-way, and the explanation of the consent form and the notification of information rarely reflect the meaning of participating in the biodatabase from the perspective of the participant. As biodatabases link more and more items of medical and non-medical personal information, participant participation will become even more important, that is, ","PeriodicalId":494598,"journal":{"name":"醫療品質雜誌","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135764961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"手部感染概述與預防","authors":"陳郁慧 陳郁慧","doi":"10.53106/199457952023111706008","DOIUrl":"https://doi.org/10.53106/199457952023111706008","url":null,"abstract":"<p>當手部皮膚、手指、角質層或指甲皺褶受傷時，就容易發生手部感染，手部感染很常見。它們可以影響所有年齡層的患者。感染有多種類型和原因，常見原因包括修指甲、指甲內嵌、咬傷或刺傷。感染可能出現在指甲皺褶、指尖或手上的任何地方。手部感染大致可分為淺層感染或深層感染，分別取決於它們是否涉及皮膚和皮下軟組織，或更深的結構。手部感染的範圍從手指、手掌及其深部組織，從病毒感染到細菌和真菌感染，影響差異很大。考慮併發症的風險，應教育患者有關手部感染的徵象和症狀，並鼓勵患者當出現任何相關異常時，應先取得醫生的評估，早期診斷及治療可以防止較輕微的感染發展為需要手術治療的感染。 同時預防手部感染的一般原則是從基本衛生開始，並在處理危險物質或從事危險工作時遵循安全守則，定期進行手部衛生有助於消除微物。</p> <p>&amp;nbsp;</p><p>Hand infections are common occurrences, particularly in injured hand skin, fingers, cuticles, or nail folds. These infections affect people of all ages and exist in many forms, with common causes such as manicure, ingrown nails, bites, or punctures. Hand infections can occur anywhere on the hand, including nail folds and fingertips, and may be superficial or deep depending on whether the skin, subcutaneous soft tissue, or deeper structures are involved. The effects of hand infections vary considerably with the infection site (e.g., finger or palm), dept (e.g., deep structure), and type (e.g., viral, bacterial, or fungal). Given the risk of complications, patients with hand infections should be educated about the signs and symptoms of hand infections. They should also be encouraged to seek medical attention upon observing any signs of infection to receive early diagnosis and treatment, thereby preventing mild infections from progressing to a stage that requires surgical treatment. To prevent hand infections, one should practice hand hygiene regularly as a general principle to avoid harmful microorganisms and follow relevant safety codes when handling hazardous materials or job tasks. </p> <p>&amp;nbsp;</p>","PeriodicalId":494598,"journal":{"name":"醫療品質雜誌","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135764958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"健康數據創新之門","authors":"蘇明威 蘇明威","doi":"10.53106/199457952023111706005","DOIUrl":"https://doi.org/10.53106/199457952023111706005","url":null,"abstract":"<p>現下的醫療，依疾病別及症狀給予一致的治療方案。人與人的不同，讓疾病的病程產生差異，對於藥物的反應也不同。而數據就是藉以區分人與人的不同的工具，不再僅限於過去用於醫療診斷的數據如血壓及血糖等，更包含了多樣的體學數據如基因體及蛋白質體等。希望藉數據去區分人與人的不同，而這前所未有的數據規模，也讓我們亟需新的工具來對應及處理。如果說未來的醫療是精準醫療，是建構於區分你我的不同之上的醫療，那麼毫無疑問的是精準醫療將會是一個由數據驅動的世界。我們在這裡描述了數據在精準醫療所代表的意義以及與人工智慧可能的互動，並且分享了人體生物資料庫的成功應用及未來挑戰。</p> <p>&amp;nbsp;</p><p>Current medical practices are based on a one-size-fits-all approach, but health data can be used to realize the application of precision medicine. Such data cover not only conventional medical metrics, such as blood pressure and glucose level, but also a broad range of omics data, such as genomic and proteomic data. This article discusses the role of data in the emerging field of precision medicine and examines its symbiotic relationship with artificial intelligence. Additionally, successful examples of and challenges in biobank applications are explored. There are things known and things unknown and in between are the doors. - Jim Morrison</p> <p>&amp;nbsp;</p>","PeriodicalId":494598,"journal":{"name":"醫療品質雜誌","volume":"23 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135764772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"利用機器學習精準搜尋並智慧分案以提升癌登個案篩選效能","authors":"黃圓婷 黃圓婷, 沈怡妏 沈怡妏, 李佳鴻 李佳鴻, 游淑蓉 游淑蓉, 劉曄霞 劉曄霞, 李季樺 李季樺, 黃志仁 黃志仁","doi":"10.53106/199457952023111706006","DOIUrl":"https://doi.org/10.53106/199457952023111706006","url":null,"abstract":"<p>目的</p> <p>癌症登記資料庫是癌症醫療品質改善的實證根本，目前依賴著人工逐筆檢視篩選，但符合申報條件僅佔50.4%。希冀透過機器學習自然語言處理擷取病歷資訊等關鍵字，能更精準地篩選出需申報的癌症個案並同時正確分類癌別。</p> <p>材料與方法</p> <p>利用南部某醫學中心2017年及2018年的已分類的3,000筆個案含21,994份病歷資料、影像報告及病理報告進行機器訓練學習。利用多元分類模型 ML.NET Multiclass Classification SDCA Maximum Entropy ，並依30癌別進行關鍵字標註，建立智慧系統預測模組。</p> <p>結果</p> <p>篩選結果分為「需申報」、「不需申報」、「疑似個案」三組。智慧系統預測個案申報平均正確率為89.7%及癌別分類平均正確率為89.5%。</p> <p>結論</p> <p>智慧預測系統協助癌登個案篩選以提升篩選效能，讓癌症登記師專注於摘錄資料的完整性及正確性，未來期可導入圖文辨識，強化預測系統判讀能力，提供各臨床團隊更高的分析價值。</p> <p>&amp;nbsp;</p><p>Purpose</p> <p>Cancer registration registries serve as the empirical foundation for improving the quality of cancer care. Unlike current methods, which rely on manual review and screening and yield only a 50.4% reporting eligibility, this study leverages machine learning and natural language processing to extract key medical record information, thus enhancing the precision in selecting cases for reporting and in classifying cancer types.</p> <p>Materials and Methods</p> <p>The study utilized 3,000 categorized cases from 2017 and 2018, accompanied by 21,994 medical records, imaging reports, and pathology reports from a medical center in southern Taiwan, for machine learning training. A multiclass classification model, ML.NET Multiclass Classification SDCA Maximum Entropy, was employed, and keywords were annotated for 30 types of cancer to construct a smart prediction module.</p> <p>Results</p> <p>The screening results were categorized into three groups: &amp;ldquo;to be reported&amp;rdquo;, &amp;ldquo;not to be reported&amp;rdquo;, and &amp;ldquo;suspected cases.&amp;rdquo; The intelligent system achieved an average accuracy rate of 89.7% in case reporting and 89.5% in cancer-type classification.</p> <p>Conclusion</p> <p>This smart predictive system enhances the efficiency of cancer case screening, allowing registry staff to focus on the completeness and accuracy of data extraction. Future iterations could incorporate image and text recognition to strengthen the predictive capabilities of the system, thereby providing higher analytical value to clinical teams.</p> <p>&amp;nbsp;</p>","PeriodicalId":494598,"journal":{"name":"醫療品質雜誌","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135764952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"人體生物資料庫於全球之發展趨勢","authors":"廖嘉成 廖嘉成","doi":"10.53106/199457952023111706002","DOIUrl":"https://doi.org/10.53106/199457952023111706002","url":null,"abstract":"<p>隨著疫情的衝擊逐漸退去，生醫產業如何抓住後疫情重啟的契機，利用健康大數據，轉型升級，為先進各國所關注之焦點。人體生物資料庫(Biobank)因具備整合個人醫療、基因資料與其他健康數據的能力，成為人類透過健康大數據跨入精準健康的關鍵設施。Biobank結合已臻成熟的雲端運算與人工智慧，持續推進基因定序、打造跨國境且不受限於軟硬體條件的運用環境，能更有效凝聚參與者的信賴與共識，整合產、官、學，為生醫產業孕育全新生態系，向精準健康邁進。</p> <p>&amp;nbsp;</p><p>As we exit the COVID-19 pandemic, the biomedical industry is exploring opportunities to harness the potential of big data for transformation and growth. Biobanks are critical pieces of infrastructure in this endeavor, and they integrate various types of health data, including clinical and genetic information. Data from these biobanks are used for genetic sequencing with the help of advanced cloud computing and artificial intelligence technologies; these technologies eliminate obstacles associated with hardware or geographical distance and enhance trust and agreement among participants. Biobanks connect a variety of stakeholders together&amp;mdash;such as researchers, participants, and clinicians&amp;mdash;and give rise to a brand new ecosystem that brings us closer to the goal of precision health.</p> <p>&amp;nbsp;</p>","PeriodicalId":494598,"journal":{"name":"醫療品質雜誌","volume":"23 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135764964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"人體生物資料庫管理條例之修法芻議","authors":"何之行 何之行","doi":"10.53106/199457952023111706001","DOIUrl":"https://doi.org/10.53106/199457952023111706001","url":null,"abstract":"<p>人體生物資料庫為發展精準醫療之基石，考量科技發展之快速變遷、大數據與人工智慧於醫療領域之應用，人體生物資料庫管理條例之修訂亦將引領我國健康資料治理法治之建立。本文將分析探討目前人體生物資料庫管理條例之重要修訂內容，亦盼能完善我國人體生物資料庫之相關治理規範。</p> <p>&amp;nbsp;</p><p>Biobanks play a pivotal role in advancing precision medicine, given the swift evolution of technology, the utilization of big data, and the integration of artificial intelligence. The proposed amendments to the Human Biobank Management Act are poised to establish a robust legal framework for health data governance in Taiwan. This article will delve into the significant revisions and regulations within the Human Biobank Management Act, offering recommendations with the aim of enhancing the governing processes pertaining to biobanks.</p> <p>&amp;nbsp;</p>","PeriodicalId":494598,"journal":{"name":"醫療品質雜誌","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135765134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"破除性別刻板印象束縛的醫療照護人力資源培養與運用","authors":"陳昱名 陳昱名","doi":"10.53106/199457952023091705010","DOIUrl":"https://doi.org/10.53106/199457952023091705010","url":null,"abstract":"<p>在專業臨床領域中或專業教育的場域中，有效促進性別實質平權的好方法，首先是觀念的轉變，讓自己勇於接受挑戰性別刻板印象，當面對到職業角色與性別氣質不符合傳統性別刻板印象的工作同仁或學生時，給予更多的理解和溝通，從實質表現上去評價其貢獻而非急於從性別特質等標籤即決定印象，在臨床教育或學科知識學習的過程中，特別是針對專業典範人物的示範說明，亦應注意性別比例的平衡，使得性別偏見不再複製增強，讓優秀但少數特殊者亦有機會出現在後學者的學習認知視野之中，如此才能夠有效的促進職業社會化過程中性別刻板印象的打破，提升性別敏感度，避免因為既定的性別歧視標籤妨礙了對於實質能力與個人特質的認識。其次，在醫療照護職場的人力資源運用策略方面，則應遵守性別平權精神，落實(1)用人唯才，不因性別、性傾向與外型歧視或差別待遇；(2) 同工同酬，以實質貢獻決定評價與晉升機會的公平公正原則；(3)遵守勞動法令，避免社會歧視所導致之單位績效與名譽受損。如此，在人力資源的培育與運用上，我們才能真正打破性別刻板印象的束縛，真正用人唯才，廣開納才之路。</p> <p>&amp;nbsp;</p><p>In the fields of professional clinical practice and professional education, an effective method for advancing substantive gender equality is, first and foremost, a shift in mindset. This involves embracing the challenge of gender stereotypes. When faced with colleagues or students whose professional roles and gender expressions do not conform to conventional standards, people should provide greater understanding and communication. Evaluations should be based on the tangible contributions of such individuals rather than arbitrarily labeling them based on gender-related traits. Throughout the process of clinical education or acquiring disciplinary knowledge, attention should be paid to maintaining a balanced gender representation, particularly when showcasing examples of professional role models. This aids in avoiding perpetuating gender biases, allowing outstanding individuals, even if they are in the minority, the opportunity to be recognized and serve as role models who can broaden the knowledge of future learners. Such measures are vital to effectively dismantling gender stereotypes in the process of professional socialization, raising gender sensitivity, and preventing preconceived gender discrimination labels from obstructing the acknowledgment of actual competence and personal traits. Furthermore, in terms of human resource management strategies within the healthcare sector, adherence to the principles of gender equality is paramount, which entails implementing the following measures: (1) embracing talent without discrimination based on gender, sexual orientation, or appearance; (2) ensuring equal pay for equal work and evaluating promotion opportunities based on substantive contributions and fairness and justice; and (3) adhering to labor laws to prevent negative effects to organizational performance and reputation arising from social discrimination. By fostering and utilizing human resources in this manner, we can truly break through the constraints imposed by gender stereotypes and genuinely prioritize talent, thereby paving the way for inclusive recruitment.</p> <p>&amp;nbsp;</p>","PeriodicalId":494598,"journal":{"name":"醫療品質雜誌","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135248491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}