About The Event
This event is co-organized by the National University of Singapore (NUS), National University Health System (NUHS) and MIT Critical Data. We aim to bring together clinicians, data scientists and innovators in healthcare to address current problems in healthcare with data analytics technologies. The increasing wealth of patient data available through electronic health records has created a surge in research funding and industry interest in health data analytics. Challenges in extracting knowledge from health record databases, however, are significant.The event will strengthen cross-disciplinary collaboration around secondary analysis of electronic health record data, helping to pave the way for reliable knowledge to be translated into action, for the benefit of patients.
WHO SHOULD ATTEND?
Physicians, nurses, data scientists, data engineers, software engineers and students who are passionate about healthcare analytics, who are open to collaborate with like-minded people from a different discipline, who are energetic and fun!
WHAT WILL YOU LEARN?
The team will be addressing real clinical problems raised by participating physicians and nurses and will be generating solutions through analyzing de-identified real-world clinical data. Participants will be working in a cross-disciplinary team and will also be mentored by experienced scientists from NUS, MIT and other collaborating institutes.
Program in a Glance
27 Nov - 1 Dec Workshops
Learn the technical aspects of AI in healthcare from industry experts through various sessions.
2 - 3 Dec Expo
Get to know more about the latest trends in healthcare AI from esteemed industry and academia speakers.
3 - 5 Dec Datathon
A data-centric hackathon, we are expecting 50 cross-disciplinary teams with a mixture of physicians, data scientists, students and entrepreneurs from around the globe. We will support the teams with a number of real-world healthcare datasets and also the computational resources. Up to SGD 20,000 cash prizes and cloud service credits up for grabs!
