• 活動簡介
    Event Overview
  • 活動議程
    Event Agenda
  • 座長/講師
    Moderator/Lecturer
  • 我要報名
    Registration

隨著大數據技術的蓬勃發展,醫學研究進入了全新時代,藉由分析與應用龐大的數據集,能夠大幅提升臨床診斷的精確度、醫療決策的效率及個人化健康管理的推展。台灣健康資訊交換第七層協定協會(HL7 Taiwan)推動國際HL7健康資訊交換標準在國內的發展與應用已超過十五年。HL7標準的核心目的,是促進異質醫療資訊系統之間的有效交換、管理及整合,從而提升病患健康照護與管理的品質,並為醫療服務的評估提供關鍵數據支持。

本次研討會將匯聚來自醫學研究、數據科學、人工智慧等多個領域的頂尖專家,共同探討大數據在醫療健康領域的前沿應用與未來發展趨勢,並且結合HL7標準,進一步探討如何利用健康資訊交換技術優化醫療服務與健康管理。透過這次國際性的平台,與會者將有機會與國內外頂尖醫療資訊專家、研究學者以及產業領袖進行深入交流,拓展技術合作與商業契機,因此,大會歡迎對本議題有興趣的各界朋友前來共襄盛舉。

*本論壇將以全英文進行。

With the rapid development of big data technology, medical research has entered a new era. By analyzing and applying vast datasets, it is possible to significantly enhance the accuracy of clinical diagnoses, the efficiency of medical decision-making, and the promotion of personalized health management. Health Level Seven Taiwan (HL7 Taiwan) has been promoting the development and application of the HL7 International health information exchange standards in the country for over fifteen years. The core purpose of the HL7 standards is to facilitate the effective exchange, management, and integration of heterogeneous medical information systems, thereby improving the quality of patient health care and management, and providing critical data support for the evaluation of medical services.

This seminar will bring together leading experts from various fields, including medical research, data science, and artificial intelligence, to explore the pioneering applications and future development trends of big data in the healthcare sector. It will also incorporate HL7 standards to further discuss how to optimize medical services and health management using health information exchange technologies. Through this international platform, participants will have the opportunity to engage in in-depth discussions with top medical information experts, researchers, and industry leaders from both domestic and international backgrounds, fostering technological collaboration and business opportunities. Therefore, the conference warmly welcomes all interested parties to join and participate.

*This Conference will be conducted entirely in English.
  • 活動名稱 Event Name
    2024大數據醫學研究國際研討會 2024 International Conference on Biomedical Big Data Research
  • 主辦單位 Organizer
  • 協辦單位 Co-organizer
  • 大會籌辦委員會 Organization Committee
    • 大會主席
      President & Congress Chair
      蔡明哲
      Ming-Che Tsai
    • 委員會主席
      Committee Chair
      魏正宗
      James Cheng-Chung Wei
    • 委員會成員
      Committee member
      呂宗學
      Tsung-Hsueh Lu
    • 委員會成員
      Committee member
      葉志嶸
      Chih-Jung Yeh
    • 委員會成員
      Committee member
      邱政元
      Thomas Chiou
    • 委員會成員
      Committee member
      洪堯民
      Yao-Min Hung
    • 委員會成員
      Committee member
      張明哲
      Ming-Che Chang
    • 委員會成員
      Committee member
      梁培英
      Pui-Ying Leong
    • 委員會成員
      Committee member
      楊登和
      Deng-Ho Yang
    • 委員會成員
      Committee member
      霍安平
      An-Ping Huo
    • 委員會成員
      Committee member
      曹傑漢
      Chien-Han Tsao
    • 委員會成員
      Committee member
      吳汐淇
      Shih-Chi Wu
    • 委員會成員
      Committee member
      張人尹
      Ren-In Chang
    • 委員會成員
      Committee member
      楊樹文
      Su-Boon Yong
    • 委員會成員
      Committee member
      許閔彥
      Min-Yen Hsu
    • 委員會成員
      Committee member
      張幸初
      Shin-Tsu Chang
    • 委員會成員
      Committee member
      陳治維
      Chih-Wei Chen
    • 委員會成員
      Committee member
      黃景揚
      Jing-Yang Huang
    • 委員會成員
      Committee member
      王秀英
      Shiow-Ing Wang
    • 委員會成員
      Committee member
      洪正憲
      Cheng-Hsien Hung
    • 委員會成員
      Committee member
      彭武村
      Wuu-Tsun Perng
    • 委員會成員
      Committee member
      黃新心
      Shin-Shin Huang
  • 交通資訊 Traffic information
  • 活動地點 Event Location
    2024年12月7日 研討會
    December 7th, 2024  Conference
    中山醫學大學誠愛樓9樓第一演講廳 (402台中市南區建國北路一段110號)
    9F, Cheng Ai Building, Chung Shan Medical University (No. 110, Section 1, Jianguo North Road, Taichung City, Taiwan)

    2024年12月8日 工作坊
    December 8th, 2024  Workshop
    中山醫學大學正心樓6樓0613電腦教室 (402台中市南區建國北路一段110號)
    6F, Jeng Shin Hall, Chung Shan Medical University (No. 110, Section 1, Jianguo North Road, Taichung City, Taiwan)
  • 活動日期 Event Date
    2024年12月7日至8日 December 7-8, 2024
  • 論文投稿 Paper Submission
  • 報名費用 Registration fee
    身份
    Identity
    早鳥價 Early-bird
    Before 2024/11/20
    優惠價 Regular
    2024/11/21 - 12/06
    現場價 On-site
    2024/12/07 - 12/08
    *擇一付款*
    *Choose one for payment*
    *擇一付款*
    *Choose one for payment*
    *擇一付款*
    *Choose one for payment*
    TWD USD TWD USD TWD USD
    2024/12/7 研討會 Conference *11/21-12/5 三人同行享8折優惠 20% discount for groups of three(來信申請 apply via email)
    一般
    Delegate
    NT$ 3,000 US$ 100 NT$ 3,600 US$ 120 NT$ 4,200 US$ 140
    學生
    Student
    NT$ 1,500 US$ 50 NT$ 1,800 US$ 60 NT$ 2,100 US$ 70
    2024/12/7 晚宴 Welcome Dinner
    (暫定地點Provisional Location:女兒紅婚宴會館Your Home Wedding Hall Taichung)
    每人
    Per Person
    NT$ 1,000 US$ 35
    2024/12/8 工作坊 Workshop 
    *報名至12/5截止Registration deadline on December 5th*
    一般
    Delegate
    NT$ 20,000 US$ 660
    會員或中山同仁
    Member or CSH Staff
    NT$ 15,000 US$ 500
    學生暨會員
    Member and Student
    NT$ 5,000 US$ 160
  • 推薦飯店 Hotel recommendations
    1. 長榮桂冠飯店(台中) Evergreen Laurel Hotel(Taichung)

      地址 Address
      台中市台灣大道2段666號No. 666, Sec. 2 Taiwan Boulevard, Taichung 407
    2. 台中李方愛美酒店 Le Méridien Taichung

      地址 Address
      台中市中區建國路111號111 JianGuo Road, Central District, Taichung City, Taiwan
    3. 台中豐邑MOXY酒店 MOXY TAICHUNG

      地址 Address
      台中市南屯區文心南六路288號288 Wenxin South Sixth Road, Nantun District, Taichung City, Taiwan
2024大數據醫學研究國際研討會
2024 International Conference on Biomedical Big Data Research
本論壇可採線上與會。
This Conference is available for online participation.
2024 International Conference on Biomedical Big Data Research
December 7th Agenda
  • TIME
    TOPIC
    SPEAKER
  • Time:0900-0915
    Topic:

    Opening lecture & Group photo
    開場演講與團體照
    Speaker:
    Ming-Che Tsai 
    蔡明哲總院長
    Superintendent, Chung Shan
    Medical University Hospital 

    中山醫學大學附設醫院 
  • Time:0915-0945
    Topic:
    Moderator:Ming-Che Tsai  蔡明哲總院長
    Superintendent, Chung Shan Medical University Hospital 
    中山醫學大學附設醫院 


    Unifying Taiwan's Medical Research Data: FHIR-Driven Data Standardization with Taiwan Core and TW Core Plus
    一致化台灣的醫學研究數據:透過 FHIR 驅動的數據標準化,結合 Taiwan Core 與 TW Core Plus
    Speaker:


    Chien-Chang Lee 

    李建璋處長
    Director, Department of Information Management,
    Ministry of Health and Welfare

    衛生福利部資訊處
  • Time:0945-1015
    Topic:
    Moderator:Thomas Chiou 邱政元教授兼系主任
    Professor and Chairman, Department of Health Policy and Management, Chung Shan Medical University
    中山醫學大學醫療產業科技管理學系


    Observational Health Data Research in the Era of Artificial Intelligence
    AI時代的觀察性健康數據研究
    Speaker:

    Min-Huei Hsu 

    許明暉教授
    Professor and Chief Data Officer,
    Taipei Medical University

    台北醫學大學大數據科技及管理研究所
  • Time:1015-1030
    Group photo/Break & Poster/Booth viewing
    團體照/中場休息/海報及攤位參觀
  • Time:1030-1100
    Topic:
    Moderator:Min-Huei Hsu 許明暉教授
    Professor and Chief Data Officer, Taipei Medical University
    台北醫學大學大數據科技及管理研究所


    Omics Data in the AI Era: Unveiling Statistical Advances and Challenges
    AI時代的組學數據:揭示統計進展與挑戰
    Speaker:




    Yu Shyr 

    石瑜教授
    Department of Biostatistics, Vanderbilt University Medical Center, U.S.A
    美國范德堡大學醫學中心生物統計學系
  • Time:1100-1130
    Topic: Moderator:Chih-Wei Chen  陳治維副主任
    Deputy Director, Data Finance Innovation Center, National Yang Ming Chiao Tung University
    國立陽明交通大學數據金融創新中心

    Opportunities for Global Real-World Data and Evidence to Contribute to Human Health in the Era of Artificial Intelligence
    AI時代中,全球真實世界數據與證據對人類健康的貢獻機會
    Speaker:




    Mui Van Zandt, MS

    Vice President, Global Head of Data Strategy, IQVIA

  • Time:1130-1200
    Topic:
    Moderator:James Cheng-Chung Wei 魏正宗副院長
    Vice Superintendent, Medical Research Department, Chung Shan Medical University Hospital
    中山醫學大學附設醫院醫研部、過敏免疫風濕科

    The Role of Artificial Intelligence in Evidence Search, Synthesis, and Evaluation
    AI 在證據搜尋、整合與評估中的角色
    Speaker:

    Yaolong Chen 
    陳耀龍執行院長
    Professor for health data, evidence and guidelines Dean, Institute of Health Data Science, Lanzhou University
    蘭州大學健康資料科學研究院
  • Time:1200-1330
    Lunch, Board meeting, Video demo
    午餐/理監事會議/影片示範
  • Time:1330-1400
    Topic:
    Moderator:Hao Jan Yang  楊浩然教授
    Professor and Chair, Department of Public Health, Chung Shan Medical University
    中山醫學大學公共衛生系教授兼系主任

    Global Burden of Diseases study in Rheumatic and Musculoskeletal Diseases
    全球風濕性疾病與肌肉骨骼疾病負擔研究

    Hai-Feng Pan 

    潘海峰教授
    Vice Dean of the School of Public Health at Anhui Medical University
    安徽醫科大學公共衛生學院
  • Time:1400-1430
    Topic: Moderator:Ren-In Chang  張人尹主任
    Director, Clinical Trial Division, Department of Medical Education and Research Kaohsiung Veterans General Hospital
    高雄榮民總醫院臨床試驗科

    Power of TriNetX Platform for RWE Publications TriNetX
    平台在真實世界數據 (RWE) 發表中的力量
    Speaker:


    Gema Hernández Ibarburu, PhD

    Academic Research and Education Support Lead, TriNetX

  • Time:1430-1500
    Topic:
    Moderator:Su-Boon Yong 楊樹文醫師
    Attending Physician, Division of Pediatric Allergy, Immunology, and Rheumatology, China Medical University Children’s Hospital
    中國醫藥大學兒童醫院 兒童過敏免疫風濕科 主治醫師

    The Pros and Cons of NHIRD and TriNetX
    健保資料庫及TriNetX優缺點分析
    Chun-Ying Wu
    吳俊穎所長
    Chair Professor and Director of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan
    國立陽明交通大學生物醫學資訊研究所
  • Time:1500-1515
    Break & Poster/Booth viewing
    中場休息/海報及攤位參觀
  • Time:1515-1545
    Topic:
    Moderator:Edward, Chia-Cheng Lai 賴嘉鎮教授
    Professor, School of Pharmacy National Cheng Kung University
    國立成功大學藥學系

    Monitoring the Safety of Medicines in Pregnancy Using healthcare Big Data
    利用醫療大數據監測孕期藥物安全性

    Ian Chi Kei Wong

    黃志基教授
    Professor, Department of Pharmacology and Pharmacy, University of Hong Kong
    香港大學藥理及藥劑學系

  • Time:1545-1615
    Topic:
    Moderator:Cheng-Hsien Hung  洪正憲副組長
    Vice Supervisor, Department of Pharmacy, Chang Bing Show Chwan Memorial Hospital
    秀傳醫療財團法人彰濱秀傳紀念醫院藥劑科

    Real-world analysis for drug effectiveness and safety - from single database to multi-database international studies
    藥物有效性與安全性的真實世界分析:從單一資料庫到多國多資料庫國際研究


    Edward, Chia-Cheng Lai

    賴嘉鎮教授
    Professor, School of Pharmacy National Cheng Kung University
    國立成功大學藥學系
  • Time:1615-1645
    Topic:
    Moderator:James Cheng-Chung Wei 魏正宗副院長
    Vice Superintendent, Medical Research Department, Chung Shan Medical University Hospital
    中山醫學大學附設醫院醫研部、過敏免疫風濕科


    Genomics England and the National Genomics Research Library
    英國生物資料庫及英國國家基因體研究資料庫
    Speaker:



    Matthew Brown, PhD

    Chief Scientific Officer, Genomics England, UK
  • Time: 1645-1715
    Moderator:Yao-Min Hung 洪堯民主任
    Director of Hemodialysis Unit, Taitung Hospital, Ministry of Health and Welfare
    衛生福利部台東醫院血液透析室主任

    Using big data in real-world clinical research: CSMU experience
    大數據在真實世界臨床研究的應用:中山附醫經驗
    James Cheng-Chung Wei
    魏正宗副院長
  • Time: 1715-1730
    Panel discussion and Closing
    討論與閉幕致詞
    James Cheng-Chung Wei
    魏正宗副院長
2024 Workshop: TriNetX Workshop-Beginner level
December 8th Agenda
  • TIME 時間
    AGENDA 內容
    SPEAKER 負責人員
  • Time 時間:08:30-09:00
    Agenda 內容:Registration
    報到
     
  • Time 時間:09:00-09:30
    Agenda 內容:Introduction to Big Data Research
    認識大數據研究
    Speaker 負責人員:James Cheng‑Chung Wei
    魏正宗副院長
  • Time 時間:09:30-10:00
    Agenda 內容:Overview of the TriNetX Database
    TriNetX資料庫簡介
    Speaker 負責人員:Jing-Yang Hunag
    黃景揚主任
  • Time 時間:10:00-10:30
    Agenda 內容:Introduction to the Analysis Platform of the TriNetX
    TriNetX 分析平台的基本功能介紹
    Speaker 負責人員:Jing-Yang Hunag
    黃景揚主任
  • Time 時間:10:30-10:45
    Break 休息
  • Time 時間:10:45-11:15
    Agenda 內容:Research Design and Statistical Concepts for TriNetX Research
    TriNetX research的研究設計與統計概念
    Speaker 負責人員:Jing-Yang Hunag
    黃景揚主任
  • Time 時間:11:15-12:15
    Agenda 內容:Generating Research Ideas and Approaches ~ Using TriNetX Research as an Example
    研究議題發想與切入 - 以TriNetX research 為例
    Speaker 負責人員:Renin Chang
    張人尹主任
  • Time 時間:12:15-13:30
    Lunch 午餐
  • Time 時間:13:30-15:00
    Agenda 內容:TriNetX Hands-on Operations and Exercises
    TriNetX 實務操作與練習

    ~Introduction to the interface of TriNetX
    ~界面介紹

    ~Selecting participants for your study
    ~研究個案選取
    Speaker 負責人員:Shiow-Ing Wang
    王秀英研究員
  • Time 時間:15:00-15:15
    Break 休息
  • Time 時間:15:15-16:45
    Agenda 內容:~Ensuring cohorts are balanced for comparability
    ~匹配研究個案

    ~Outcome comparison analysis
    ~分析比較

    ~Exporting research results
    ~匯出研究結果

    ~Data visualization
    ~圖表製作
    Speaker 負責人員:Shiow-Ing Wang
    王秀英研究員
  • Time 時間:16:45-17:15
    Agenda 內容:Initiating Research Proposal and General Discussion
    研究構想提案與綜合討論
    Speaker 負責人員:Jing-Yang Hunag
    黃景揚主任
  • Ming-Che Tsai

    Professor & Dean, College of Medicine, Chung Shan Medical University, Taichung, Taiwan
    1. PROFESSIONAL PREPARATION   

    Chung Shan Medical University

    Taichung, Taiwan

    School of Medicine

    M.D., 1985

    Harvard University 

    Boston, USA

    School of Public Health

    M.P.H. 1999

    Chung Shan Medical University

    Taichung, Taiwan

    Institute of Medicine

    Ph.D. 2015

    1. APPOINTMENTS

    Professor

    School of Medicine, Chung Shan Medical University

    2015- Present

    Vice president

    Chung Shan Medical University

    2020-Present

    Superintendent

    Chung Shan Medical University Hospital

    2020-Presnet


    Professor Terence Ming-Che Tsai, who served as trauma surgeon and Director of Emergency Department  in  National Cheng Kung University Hospital since 1999. He was appointed by the Ministry of Health as the Taiwanese disaster relief team leader for the Tsunami in Indonesia 2004. He retired in 2010, became director of the College of Medicine in Chung Shan Medical University in 2017. Currently, he is the Superintendent of Chung Shan Medical University Hospital starting in 2020. Dr. Tsai was interested in medical education and hospital management, who successfully led CSMUH during the Covid-19 pandemic. He received his MD degree at CSMU in 1985, Master of Public Health in Harvard U. in 1999, and PhD in 2015. He is a diligent scholar in both academic and clinical fields, full of experiences in problem solving and communication skills.  

  • Paul Chien-Chang Lee

    Education

    2014, Harvard University, Epidemiology, ScD

    2004, National Taiwan University, Clinical Research Institute, MSc

    1997, National Taiwan University, Medicine, MD

     

    Current Position

    1. Director, Department of Information Management , Ministry of Health and Welfare

    2. Professor, Department of Emergency Medicine, College of Medicine, National Taiwan University

    3. Consultant, NTUH Center for Intelligent Healthcare

  • Min-Huei Hsu


    2009.08~2010.07 Director of Neurosurgery, Taipei Municipal Wanfang Hospital 

    2011.03~2012.06 Director of Information Center, Department of Health, Executive Yuan

    2012.07~2019.03 Director of Office of International Cooperation, Ministry of Health and Welfare 

    2019.03~ Professor and Director, Graduate Institute of Date Science, Taipei Medical University

    2019.12~ Chief Data Officer, Office of Data Science, Taipei Medical University

  • Mui Van Zandt

    Director Product Development, IQVIA

    Mui is a Director of Product Development at IQVIA, managing the OMOP Factory. Mui’s area of expertise include software development, data conversions, agile process, and project management. The OMOP Factory has been performing OMOP ETL conversions on over 12 different datasets in 6 different countries. Mui has gained extensive knowledge working on large patient databases in the OMOP model and the standard vocabularies that are needed to support these conversions.

    Mui is an active contributor to the community through various OHDSI working groups. She is one of the co-leaders of the China OMOP CDM/Vocabulary working group. She leads two of the sub-working groups within the THEMIS working group. She has and continues to perform OMOP tutorial trainings to many different organizations and conference, such as the OHDSI Symposiums, the China Hackathons, and individual universities.

  • Yu Shyr, PhD, Dr(hc), FASA, FAAAS, FAACR

    Harold L. Moses Chair in Cancer Research

    Yu Shyr received his PhD in biostatistics from the University of Michigan in 1994 and subsequently joined the faculty at Vanderbilt University School of Medicine, where he won the Hawiger Award for Excellence in Teaching in 2012 and was inducted into the Academy for Excellence in Education in 2013. Renowned for his development of integrative methods and high-impact applications of those methods, Shyr is an elected fellow of the American Statistical Association (ASA), the American Association for the Advancement of Science (AAAS), and the American Association for Cancer Research (AACR), and he holds an honorary doctorate from National Cheng Kung University. He has published more than 550 peer-reviewed papers (h-index = 124) and serves as an associate editor for JAMA Oncology and Journal of Thoracic Oncology. Shyr has presented more than 450 invited talks, workshops, and courses around the world and currently co-directs the BMSF-AACR Design and Implementation of Clinical Trials Workshop, part of Bristol Myers Squibb Foundation’s initiative to diversify clinical research.

    In demand as an expert on external advisory boards and data safety monitoring committees across the United States, Shyr was a voting member of the US Food and Drug Administration (FDA) Anti-Infective Drugs Advisory Committee and has served on dozens of National Cancer Institute (NCI) study sections and panels. As principal investigator of the Barrett’s Esophagus Translational Research Network Coordinating Center (BETRNetCC), funded by an NCI U24 grant, Shyr led a team that provided crucial support for the collection, management, analysis, and dissemination of data among multiple research centers. His current projects include developing novel statistical and bioinformatic tools for biomedical research and improving experiment and clinical trial design, particularly in the areas of proteomics and genomics, with special focus on single cell RNA sequencing.

  • Yaolong Chen

    Professor MD, M.Sc., M.B.B.S.

    Dr Yaolong Chen is a professor and a guideline methodologist at the Evidence Based Medicine Centre of Lanzhou University. He is co-Director of WHO Collaborating Centre for Guideline Implementation and Knowledge Translation. He studied guideline development in McMaster University between September 2010 and March 2011 as a visiting research fellow and worked for the WHO Guidelines Review Committee between September 2013 and March 2014 as a volunteer.

     

    Professor Chen is the Co-Founder of ADVANCED (AI-Driven deVelopment and AssessmeNt of healthCare guidElines and standard), which aims to empower healthcare with AI to deliver personalized, high-quality recommendations for all. He has authored and co-authored more than 500 peer reviewed articles on evidence-based medicine and practice guidelines. He has been invited to give numerous presentations in Cochrane colloquiums, GIN conferences and other national and international symposiums. He was involved in the development of more than 100 national and international practice guidelines over the last ten years.

  • Hai-Feng Pan

    Medical Doctor, Professor, Doctoral Supervisor, and Postdoctoral Cooperative
    Supervisor. He is a specially-appointed professor of leading talents in Anhui
    Province, a reserve candidate for academic and technical leaders in Anhui
    Province, a recipient of the Anhui Youth May 4th Medal, an advanced worker in
    Anhui Province, and an outstanding youth in Anhui Province. He once served as
    the deputy director of the Hefei Municipal Health Commission. Currently, he is
    the vice dean of the School of Public Health of Anhui Medical University, the
    director of the Medical Data Processing Center, the deputy director of the
    Institute of Kidney Diseases and Inflammatory Immune Diseases, and the deputy
    director of the management office of the Inflammatory Immune Diseases Laboratory
    of Anhui Province. He serves as the editor-in-chief of "Clinical and Molecular
    Epidemiology", the deputy editor-in-chief of "International Journal of Rheumatic
    Diseases", the deputy editor-in-chief of "Frontiers in Public Health", a member
    of the editorial board of "Current Pharmaceutical Design", and the executive
    editorial board member of "Chinese Journal of Disease Control and Prevention".
    At present, as the first author or corresponding author, he has published more
    than 150 papers in SCI journals such as "JAMA Pediatrics", "Nature Reviews
    Rheumatology", and "Annals of the Rheumatic Diseases", with an H-index of 44. He
    has won one first prize of the Chinese Medical Science and Technology Award, one
    second prize of the Anhui Science and Technology Progress Award, and one third
    prize of the Anhui Science and Technology Progress Award. He has presided over
    four National Natural Science Foundation of China projects. He is listed in the
    global top 2% leading scientists list. In 2023, he ranked third in the academic
    influence of scholars in the field of rheumatology and immunology in China. He
    is listed in the Expertscape global expert ranking list for systemic lupus
    erythematosus and ranks first in China. One of his papers was selected as the
    first in the TOP100 high-value papers in the field of rheumatology and
    immunology in China in 2022. He is a member of the teaching team of the first
    batch of national excellent resource sharing courses "Epidemiology" and one of
    the main lecturers of the first batch of national first-class undergraduate
    courses "Epidemiology". He has edited/co-edited three national planning
    textbooks. He has won three first prizes and two third prizes of Anhui Teaching
    Achievement Awards.
  • Gema Hernández

    Academic Research and Education Support Lead
    Gema Hernández is a recognized expert in RWE research. In her role, she supports and educates investigators on leveraging TriNetX and its datasets for academic research, drawing on her extensive knowledge of the potential and challenges of healthcare RWD.
    She holds a BSc in Biomedical Engineering, as well as an MSc and a PhD (Cum Laude) in Artificial Intelligence from the Polytechnic University of Madrid. Her research has been published in numerous high-impact scientific journals, including Blood Cancer Journal, Haematologica, and Diabetologia.
  • Chun-Ying Wu

    Institute of Biomedical Informatics, NYCU, Taiwan
    Prof. Chun-Ying Wu received his M.D. degree from National Taiwan University (NTU) in 1991, M.P.H. degree from Harvard School of Public Health in 1993, LL.B. degree from College of Law in 2000, Tunghai University, LL.M. degree from Harvard Law School in 2023, and Ph.D. degree from NTU in 2007. Prof. Wu is currently the Chair Professor and Director of Biomedical Informatics, at National Yang Ming Chiao Tung University (NYCU) and the Director of both Health innovation Center and Microbiota Research Center at NYCU. He establishes and serves as the Director of Taiwan National Human Microbiota Core Facility, which is supported by Taiwan National Science and Technology Council (NSTC) since 2023. He also establishes Taiwan Microbiota Consortium (TMC) and serves as the first TMC President since 2017. He is now the Editor-in-Chief of Advances in Digestive Medicine, associate editor of the Journal of Gastroenterology and Hepatology, and editorial member of Gut.
    Prof. Wu’s research interests focus on digestive cancer translational research, health big data and AI research, microbiota research, and legal research. Prof. Wu has published more than 300 articles in SCI journals, including JAMA, JAMA Int Med, JAMA Ped, J Clinical Oncology, Gastroenterology, Gut, J of Hepatology, Int J Surg, Hepatology, etc. He is listed as one the World’s Top 2% Scientists with H-index=64 and more than 15,000 citations. He gets several patents, such as gastric cancer screening, hepatitis B virus quantitative detection methods, microbiota to treat metabolic syndrome, etc. Prof. Wu is the winner of the 2021 and 2015 Outstanding Research Awards of Taiwan NSTC, the 2016 National Innovation Award, and the 2015 Asia-Pacific Emerging Leadership Award. Prof. Wu published 4 law textbooks and more than 100 law articles, which contribute to change the Taiwan malpractice litigation system. It is the reason.
  • Ian Chi Kei Wong

    Professor, University of Hong Kong and Aston University, UK

    that Prof. Wu got the 2018 Taiwan Medical Model Award from Taiwan Medical Association.

    Professor Ian Wong is a professor and former Head of Department of Pharmacology and Pharmacy, University of Hong Kong. He is also the holder of Regius Chair in Pharmacy at the Aston University, UK.
    As an academic pharmacist with research expertise in big data analytics and neuropsychopharmacology. He has led many research programmes in the UK, European and Hong Kong. Professor Wong has over 600 publications with publication in prominent journals including Nature portfolio journals, JAMA Network Journals, The Lancet family journals, BMJ journals. According to Clarivate Analytics' Essential Science Indicators, Professor Wong has been a top 1% scholar in pharmacology and pharmacy research from 2015 to 2024.
    In recognition of his research, Professor Wong has received numerous awards for his work as an academic pharmacist. He was awarded the Chemist and Druggist Pharmacy Practice Research Conference Medal from the Royal Pharmaceutical Society of Great Britain in 2004, an Honorary Fellowship from the Royal College of Paediatrics and Child Health in the UK in 2011, an Honorary Fellowship from the College of Pharmacy Practice in Hong Kong in 2013, and a Fellowship from the Royal Pharmaceutical Society in 2013, a Fellowship from British Pharmacological Society and International Society of Pharmacovigilance in 2020.
  • Edward Chia-Cheng Lai, Ph.D., FISPE

    Professor, School of Pharmacy, National Cheng Kung University, Tainan, Taiwan
    Edward is a Professor at the School of Pharmacy, National Cheng Kung University, Taiwan. He has expertise in the use of a variety of healthcare databases across Asia, Oceania, North America, and Europe in the conduct of international multi-database pharmacoepidemiologic research. His research interests include the safety and effectiveness of psychotropic, rheumatologic, and oncologic medications. He has published 100+ research articles in top journals such as BMJ, JAMA Internal Medicine, Annals of Internal Medicine, and Lancet Psychiatry. He has served as an Associate Editor of Pharmacoepidemiology and Drug Safety since 2013. He served as the chair of the Asian Pharmacoepidemiology Network (AsPEN) (2016-2018). He is an active Neurological and mental health Global Epidemiology Network (NeuroGEN) member. He was awarded the Fellow of the International Society for Pharmacoepidemiology (FISPE) designation in 2023.
  • Mattew Brown, Ph.D (UK)

    Chief Scientific Officer of Genomics England
    Professor Matthew Brown, an internationally renowned clinician-scientist, joined Genomics England as Chief Scientific Officer in 2021.
    Prior to this he served as Director of the National Institute for Health Research (NIHR) Guy’s and St Thomas’ Biomedical Research Centre. He is also Professor of Medicine within the Faculty of Life Sciences and Medicine, King’s College London.
    Professor Brown trained as a clinician-scientist and a rheumatologist in Australia and the UK. Previous positions include Professor of Musculoskeletal Sciences at the University of Oxford; Director of the Australian Translational Genomics Centre, Distinguished Professor, and Director of Genomics at the Queensland University of Technology; and Director of The University of Queensland Diamantina Institute and Professor of Immunogenetics at The University of Queensland.
    He has made contributions to the development of gene-mapping approaches in human diseases and genome-wide association study methodology, leading to the discovery of thousands of genetic variants, with a particular interest in ankylosing spondylitis, rheumatoid arthritis, and osteoporosis.
    In the genetics of rare human diseases, he has identified genes responsible for monogenic forms of arthritis, ectopic bone development, and skeletal dysplasias. He has also led efforts in Australia to translate research sequencing capability into precision medicine programs for cancer patients.
    Professor Brown was elected a Fellow of the Australian Academy of Sciences in recognition for his achievements in genetics research. He still practises medicine, in the specialty of rheumatology, with a particular focus on axial spondyloarthropathies.
  • James Cheng-Chung Wei, MD, PhD, FACR.

    Vice superintendent, Chung Shan Medical University Hospital

    Dr James Cheng-Chung Wei obtained his MD degree in National Yang Ming University and PhD degree in Chung Shan medical university. After training in rheumatology and clinical immunology at Taichung Veterans General Hospital and Kaohsiung Veterans General Hospital, he undertook a fellowship at the Royal National Hospital for Rheumatic Diseases in Bath, UK, under the supervision of Professor Andrei Calin, and a research fellowship at the University of California, Los Angeles (UCLA) under Professor David Yu, investigating the clinical and pathogenesis of spondyloarthritis. 

    He had conducted over 200 global clinical trials and about 50 investigator-initiated clinical trials. He is currently a full member of the ACR, GRAPPA and ASAS. He is also the scientific advisory board of the APALR, and Editor-in-Chief of the International Journal of Rheumatic Diseases and associate editor of the Frontiers in Immunology.

    Dr Wei had published more than 600 papers in peer-reviewed SCI journals , such as the NEJM, JAMA, JAMA Network Open, Lancet, Annals of the Rheumatic Diseases, Arthritis & Rheumatology, JAAD, Rheumatology, Journal of Autoimmunity  & International Journal of Rheumatic Diseases…etc.

    His major research interests are translational research in ankylosing spondylitis, clinical trials and big data research in rheumatology.

  • Jing-Yang Huang

    1. Director, Health Data Science Center, Chung Shan Medical University Hospital
    2. Assistant Professor, Institute of Medicine, Chung Shan Medical University
    3. Supervisor, Taiwan Medical Big Data Research Society
  • Shiow-Ing Wang

    1. Research fellow, Center for Health Data Science, Chung Shan Medical University Hospital
    2. Academic Teaching Rank Accreditation Certificate Assistant Professor
    3. Business Intelligence Data Analyst (IBM SPSS Software Certificate)
  • Cheng-Hsien Hung

    1. Vice Supervisor of Department of Pharmacy, Chang Bing Show Chwan Memorial Hospital
    2. Directors of Taiwan Medical Big Data Research Society
    3. Committee Member of the Youth Committee, Taiwan Evidence-Based Medicine Association
  • Su-Boon Yong M.D., PhD.

    1. Consultant of Pediatrics, Asthma, Allergy, Immunology and Rheumatology.
    2. China Medical University Children’s Hospital (CMUCH), Taichung, Taiwan.
    3. Executive Editor of Journal of Microbiology, Immunology and Infection
    4. Associate Editor of International Journal of Rheumatic Diseases
  • Yao-Min Hung, M.D., MPH, PHD

    1. Medical director, Dialysis center, Taitung Hospital, Ministry of Health and Welfare
    2. Associate Editor, International Journal of Rheumatic Diseases
    3. Guest editor, Pathogens Special Issue : Epidemiology of Human Papillomavirus Infection
    4. Assistant Professor of National Taitung University, Taitung , Taiwan
  • Ren-In Chang

    1. Resident Physician, Department of Internal Medicine, Kaohsiung Veterans General Hospital
    2. Attending Physician, Department of Internal Medicine, Division of Chest Medicine and Critical Care Medicine, Kaohsiung Veterans General Hospital
    3. Executive Director, Taiwan Medical Big Data Research Society
  • Chih-Wei Chen

    1. Deputy Director, Data Finance Innovation Center, National Yang Ming Chiao Tung University
    2. Member, National Council for Sustainable Development, Executive Yuan, Taiwan Govt.
    3. Member, National Action Plan, Executive Yuan, Taiwan Govt.
  • Thomas Chiou

    1. Professor and Chair, Department of Health Policy ang ManagementChun Shan Medical University
    2. Vice President, Taiwan Medical Tourism Development Assosiation
    3. Executive Supervisor, Taiwan Medical Big Data Research Society
  • Hao-Jan Yang

    1. Professor and Chair of Department of Public Health, Chung Shan Medical University, Taichung, Taiwan.
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