Hackathon on Health IoT (HiOT) 健康物聯網黑客松
October 6 - 8, 2017
Theme : Evolving HIoT Big Data to Health Artificial Intelligence (HIoT 2 HAI)
Taipei Medical University Da'an Campus - B2, Conference Hall
台北市大安區基隆路二段172-1號(No. 172-1, Section 2, Keelung Rd, Da’an District, Taipei City, 106)
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Awards and Prizes
NT$ 80,000 /team
NT$ 60,000 /team
NT$ 40,000 /team
NT$ 20,000 /team
NT$ 10,000 /team
The Most WOW Prize
The Most Innovative Hack
Day 1 2017-10-06 Fri
- Opening Ceremony
- Keynote Speech 1
Title: Artificial Intelligence in Medicine
Speaker: Dr. Leo Anthony G. Celi
- Keynote Speech 2
Speaker: Director General Po-Chang Lee Director General, National Health Insurance Administration, Ministry of Health and Welfare
- Visit Simulated Wards (19F)
- Ice Breaker/Team Introduction
- Introduction to Mentors
- Coffee Break + Team Discussion with Mentors
- Night Snack
Day 2 2017-10-07 Sat
Title: Title: Providing Anesthesia and Intensive Care during a Mission to Mars
Moderator: Dr. Ho-Pen Chang
Project Director, Formosat-5 Program, National Space Organization (10 Minutes)
Speaker: Dr. Matthieu Komorowski
Title: Biotech and Entrepreneurship
- Dr. Ming-Fong Lu, Taipei Biotech Association
- Dr. Lin, Yen-Kuang, Associate Research Fellow/Assistant Professor, Biostat Research Center, Taipei Medical University（10 mins）
Speaker: Dr. James W. Weis
- Idea Shark Tank (Mentor's Feedback)
- Coffee Break
- Meeting with Mentors
- Night Snack
Day 3 2017-10-08 Sun
- Mentors' Meeting + Announcement of Evaluation Standard
- Team Presentation 6 min + Q&A 2 min (8 min in total)
- Evaluation & Reflections on Learning
- Results Announcement & Final Comments
- Closing Ceremony
Prof. Dr. Yu-Chuan (Jack) Li has been a pioneer of Medical Informatics research in Asia. He served as a Vice President of Taipei Medical University (TMU) (2009-2011) and currently, he has been the Dean of College of Medical science and Technology since 2011 and a professor of Graduate Institute of Biomedical Informatics since 1998. He obtain his M.D. from TMU in 1991 and his PhD in Medical Informatics from University of Utah in 1994. Due to his achievement in establishing EHR exchange models among hospitals and his dedication to IT applications in patient safety and care, he was awarded as one of the Ten Outstanding Young Persons of the Year in 2001. His main areas of expertise are: Medical Decision Support Systems, Patient Safety Information Systems, and Medical Big Data Analytics.
Professor Terry B.J. Kuo is a professor of Institute of Brain Science, National Yang- Ming University, Taipei, Taiwan. His research interest ranges from medical engineering, cardiovascular physiology and neurophysiology to sleep medicine. Prof. Kuo has also developed original techniques related brain science research including both hardware and software. Prof. Kuo has published more than 100 research articles, and patented more than 50 of his inventions. Prof. Kuo was the recipient of numerous awards in academic and research, including the 2004 Ten Outstanding Young Individuals in Taiwan. Prof. Kuo is also a key medical educator promoting clinician scientist training in Taiwan.
Dr. Shabbir Syed-Abdul, is an assistant professor of Health informatics at Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taiwan. He is a leading researcher and a principal investigator at the International Center for Health Information Technology, Taipei, Taiwan. He is educator for MOOCs on FutureLearn, one of his renowned course is on the role of Social Media in Healthcare: Opportunities and Challenges. Syed-Abdul is principle investigator of various Health IT projects like Biosensors, TrEHRT, PWAS, DzMap, Big data analytics and visualization. His research interests are Telemedicine, mHealth, Social media, Personal Health Records. He wants to focus on the management and flow of the medical information among healthcare providers and patients. He is focused on patient empowerment and engagement through social media. His research papers and viewpoints were published in prestigious journals like JAMIA, Journal of Medical Internet Research and The Lancet.
Leo Anthony Celi has practiced medicine in three continents, giving him broad perspectives in healthcare delivery. His research is on secondary analysis of electronic health records and global health informatics. He founded and co-directs Sana at the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. He also holds a faculty position at Harvard Medical School as an intensivist at the Beth Israel Deaconess Medical Center and is the clinical research director for the Laboratory of Computational Physiology at MIT. Finally, he is one of the course directors for HST.936 at MIT – innovations in global health informatics and HST.956 – secondary analysis of electronic health records.
Eric Winkler (BS Physics, BS Computer Science, MIT Lecturer). Eric is the lead software developer of the open source Sana Mobile telemedicine platform. He has collaborated on mHealth research projects globally including locations in Argentina, Brazil, Haiti, India, and Lebanon.
Dr. Kenneth Paik is a clinical informatician driving quality improvement and democratizing access through technology innovation, combining a multidisciplinary background in medicine, artificial intelligence, business management, and technology strategy. He is a research scientist at the MIT Laboratory for Computational Physiology investigating the secondary analysis of health data and building intelligent decision support system. As the co-director of Sana, he leads programs and project driving quality improvement and building capacity in health.
An experienced anaesthetist and intensivist with 10 years in training and practice, Matthieu Komorowski hold full specialist board certification in both France and the UK. A former medical research fellow at the European Space Agency, he completed a Master in Biomedical Engineering at Imperial College London. He currently pursues a PhD at Imperial College and a research fellowship in intensive care at Charing Cross Hospital in London. A visiting scholar at the Laboratory of Computational Physiology at Harvard/MIT, he belongs to the MIT Critical Data group (Professor Leo Celi) where he apply machine learning to large critical care databases, with the objective of developing decision support systems for sepsis, the number one killer in intensive care.
Miguel Ángel Armengol de la Hoz, MBE is a Senior Research Associate at Harvard-MIT Division of Health Sciences and Technology and the Chief Technology Officer and International Advisor in the Innovation Unit of the Health Research Institute of Hospital Clínico San Carlos in Madrid (UCM). He holds a M.S. in Biomedical Engineering from Universidad Politécnica de Madrid and is currently a PhD Candidate in Biomedical Engineering at the same university. Besides, he has a B.E. in Telecommunication Engineering from Universidad Alfonso X which was also pursued at Clemson University, South Carolina for a year abroad. After being awarded with the Real Colegio Complutense - Harvard Research Grant, he was hired as a Senior Research Associate (Data Science Researcher), at the Department of Anesthesia, Critical Care & Pain Medicine of Beth Israel Deaconess Medical Center (Harvard Medical School). As an affiliate at the Laboratory of Computational Physiology (MIT Critical Data group), he is involved on numerous projects involving Secondary Analysis of Electronic Health Record Data in Critical Care Patients from MIMIC (Medical Information Mart in Intensive Care database) and Philips eICU databases. Working at the Center for Anesthesia Research Excellence (BIDMC) he is using and developing different tools, techniques and platforms, with the aim of improving knowledge and evidence about patients, surgeons and anesthetists from the anesthesia department. His main fields of expertise are innovation, data science, design, marketing, big data, cutting-edge technologies, medical devices, machine learning, intellectual property protection, internationalization and e-health project management.
James W. Weis has founded and led multiple initiatives aimed at increasing the pace of innovation in technology and healthcare. He is currently a Partner at Nest. Bio Ventures, a venture firm that takes a uniquely international and holistic approach to developing, funding, and commercializing next-generation technologies. Previously, as Founding President of the MIT Biotechnology Group, the first MIT student group dedicated to connecting academia to the biotechnology industry, James oversaw growth to over 2,000 members in under two years. James also founded and leads the MIT Alumni Life Sciences Angel Group, which connects MIT affiliated startups with alumni investors, and is an active investor in, and advisor for, MIT affiliated startups.
Richard Lu (MD), Postdoctoral Fellow, Massachusetts General Hospital. I help edit papers, conduct retrospective cohort studies on large healthcare databases, and write software for mobile devices. I am interested in applied clinical informatics. I think that mobile health is the next big frontier for informatics, and I am exploring ways to use mobile technology to improve public health in Asia.
Dr. Ben-Chang Shia, Associate Dean of College of Management of Taipei Medical School (TMU), has Ph. D. degree of Agronomy from the National Taiwan University. He is a consultant of Taipei City Government (2014- ) and member of Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C. (2006- ) Prior to that, he was a Chief of the General Affairs of Fu-Jen Catholic University (FJU) (2003-2005), director of School of continuing education Fu-Jen Catholic University (FJU) (2004-2005) and director of Graduate School of Business Administration(FJU) (2010-2011 ). He says, the progress of Taipei Medical University (TMU) had achieved in both World-Ranking advancing and managing of Hospital in notable quality are based on The fully supports from the senior officers. With prime professional executive team, TMU are processing to globally-highly-ranked school in both educating and academic Researching. Within enhancing the quality in medical service and educating. The Newly-established business-school would have done its duty to construct the Profession-based program and to create the polymorphic faculty for student. He wishes, every student of TMU resolved to establish successful career by emerging Expertise and Big data-based technique provided by big data school program in TMU. He advocates, “Learning by doing” and “educating via life-based thoughts” is the best Solution for education. He assists students to master both skills in management and Information technology. With such skills, students are capable to succeed in different Areas.
Who is eligible for TMU-MIT (Sana) Hackathon?
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