郭錦輯副院長赴美參訪美國麻省理工學院 (Massachusetts Institute of Technology)以及美國哈佛大學資訊研究所,請益國際醫療資訊之發展方向與跨域轉譯。亦參加第56屆美國腎臟醫學年會 (Annual Meeting & Scientific Exposition of American Society of Nephrology,發表關於慢性腎病基因研究與急性腎損傷之三篇研究
2023.10 大數據中心團隊於世界頂級醫學期刊New England Journal of Medicine發表Correspondence文章「Correspondence: Artificial Intelligence in U.S. Health Care Delivery」(N Engl J Med 2023; 389:1442-1443; DOI: 10.1056/NEJMc2310288)
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大數據中心開發之急性腎損傷防護網,獲頒「2023國際醫院聯盟病人安全與品質榮譽獎」 (2023 IHF Honorary Award in Quality and Patient Safety),並與各國醫療領袖攜手共襄第46屆國際醫院聯盟年會,提升本院國際聲譽並建立連結
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2023.09 大數據中心團隊於國際知名環境醫學年會35th Annual ISEE Conference舉辦工作坊「Environmental Epidemiology, Genomics, Microbiomics, and AI: Advancements and Opportunities for Disease Prevention using Medical Big Data」,與國際學者交流多體學於環境醫學上的挑戰與機會
郭錦輯副院長率同仁至阿布達比,與國際合作夥伴全球第一間AI大學Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI)、梅約聯盟醫院Sheikh Shakhbout Medical City (SSMC)、及SKC商討專案執行事宜
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第一項美國專利取得「Renal Function Assessment Method, Renal Function Assessment System」(證號11,571,156)
本團隊與皮膚科合作之學術論文「Risk of All-Cause Mortality, Cardiovascular Disease Mortality, and Cancer Mortality in Patients With Bullous Pemphigoid」獲知名期刊JAMA Dermatology接受並發行
學術論文「Association Between Preoperative Blood Glucose Level and Hospital Length of Stay for Patients Undergoing Appendectomy or Laparoscopic Cholecystectomy」獲知名期刊Diabetes Care接受並發行
The Big Data Center of CMUH holds the high-quality medical data, including structured and unstructured data, and is capable to expend the value of these data by integratingit to the universal Taiwan’s National Health Insurance Database, the government-based registry data,and the environmental data.With these high dimensional and high-quality data, we can extract and generate real-world evidence for clinical practice and health policy-making.
Take the renal medicine at CMUH as examples. Wenow can use the serial repeated measurement ofeGFR to track the disease course and predict patients’ risk of developing adverse outcomes for each patient who received care at our hospital.
One example is the CKD Vigilant Information System. We found the first year eGFR variability is very useful in predicting the disease progression, CVD, and mortality for patients receiving CKD care in our hospital. Wedevelop a real-time automated risk alarming system to help nephrologist’s everyday practice.
Another example is the Acute Kidney Injury Detection System (AKIDS). We link our on-sitedata with the on-cloud national datatoobtain the complete health information. Then we develop a detection algorithm to screen forAKI and make referral recommendation for every outpatient in our hospital.Our system can also help identify the window for clinicians to avoid nephrotoxic agents in patients with AKI.
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郭副主任受邀至衛生福利部實施電子病歷與智慧醫療座談會演講「醫療大數據與健保永續」
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郭副主任受邀至交通大學與清華大學統計所演講「Big Data and Renal Medicine: Unlock the Hidden Insights from Daily Practice」
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郭副主任受邀至林口長庚醫院演講「Data Science and Clinical Medicine」
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郭副主任受邀至交通大學與清華大學統計所演講「Meeting the Unmet Need for Healthcare: What We Need and What We Offer」
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參與美國Stanford大學「2018 Big Data in Precision Health Conference」之展出
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郭副主任受邀至童綜合醫院演講「Big Data and Clinical Medicine」
01-04
派員至中央研究院完成「台灣人工智慧學校技術領袖培訓班」訓練
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郭副主任受邀至國家理論科學研究中心數據科學論壇演講「Analyzing proportions in Medical Sciences」
2017
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參與2017「台灣醫療科技展(Taiwan Healthcare Expo)」之展出
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成立「急性腎損傷防護網」並獲得衛生福利部「創新應用推廣金獎」
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郭副主任受邀至「台灣護理前瞻發展研究會」演講「大數據與護理照護」
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郭錦輯副主任及資訊室孫培然副主任前往美國國家衛生研究院參訪
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與國立陽明大學簽約授權「臨床資訊管理系統(The Clinical Informatics and Management System)」軟體