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2016 Gibbons Lecture 4: Using IT to improve health delivery for management of chronic illness

2016 Gibbons Lectures in association with IITP

The Computer Science Department at the University of Auckland, in association with IITP, is pleased to announce the Gibbons Lecture Series for 2016. This year the lectures address aspects of the application of Information Technology in Medicine.

The applications discussed range from modeling of human physiology and analysis of DNA to the evolution of CT scanning and improved management of chronic illness.

Lecture 4: Using IT to improve health delivery for management of chronic illness

It has been suggested that more could be done to improve human health by better delivering what we already know, rather than by developing further medical knowledge.

There are enormous gaps in health delivery, including inadequate detection of individuals at high risk and mismanagement of risk factors once they are identified. IT can help through the use of decision support systems that compute estimates of risk and recommend appropriate management.

IT can also serve to make screening for risk factors more systematic, and consumers can receive direct 'eTherapy' for problems such as anxiety or to aid in quitting smoking.

About the Speaker

Jim Warren is Professor of Health Informatics at the University of Auckland. He has a BSc in Computer Science and a PhD in Information Systems from the University of Maryland.  He has worked at the University of South Australia where he was the director of their Health Informatics Laboratory. He has been at the University of Auckland since 2005.

Based in the Department of Computer Science, Professor Warren works closely with the University's School of Population Health and National Institute for Health Innovation. In 2008-2010 he served a term as Chair of Health Informatics New Zealand, the member body of the International Medical Informatics Association for New Zealanders. He is also a founding Fellow of the Australasian College of Health Informatics.

Jim's primary research interest is in IT for chronic condition management, whether this is through improved `business intelligence' (or data mining), clinical decision support tools for health providers, or information systems to better empower health consumers. He has been interested in the question of how to get useful clinical quality improvement information out of general practice electronic medical records since the early 1990s.

Registration Details:

Attendance is free, however please register below for catering and to secure your place.

Please note that this session may be video or audio recorded for viewing by other members at a later date. As it is possible that audience members may be incidentally recorded, please let us know if you specifically want to be excluded and we will ensure you are not shown.