Abstract
One of the inconvenient truths of the industrialised nations is that the cost of healthcare per capita is soaring. This is due to a number of reasons, ranging from an ageing population, changes in life style and environment, and more complex and expensive therapies.
A second, more disturbing problem, is that even though there is increased spending in healthcare, the individual patient outcomes are not improving at a rate that matches the spending, and therefore payers are not getting value for money.
This presentation will cover our research on the iHealth project to address these fundamental problems in the economics of healthcare provisioning. The project focuses on developing an information driven healthcare infrastructure that supports tracking patient costs across the entire clinical pathway from diagnosis to treatment, and also tracking the outcome across this pathway. With quantifiable measures for both the cost and the outcome of clinical pathways for individual patients, then, for the first time, the value of healthcare delivery can be understood. We will also present how this work can be extended, by combining research into personalized medicine to provide a new paradigm of personal healthcare for efficient and effective treatment.
About the speaker
Professor Yike Guo the Chief Innovation Officer IDBS and a professor in computing science, Imperial College London. He founded InforSense in November 1999 to commercialise his group’s pioneering distributed analytics technology for high-performance integrative data analysis on large-scale scientific data. The technology supports rapid analytical application development and process knowledge management. He has led the company’s growth since then as CEO until the end of 2008. In June 2009, the company was acquired by IDBS to provide end-to-end solutions for research and development data management. Professor Guo became Chief Innovation Officer for the combined company. He is a world leading expert in large scale data mining and Grid computing and also serves as Technical Director of the Parallel Computing Center and Head of the Data Mining Group at Imperial College London. Over the last four years he has led a number of significant academic and industrial research and development projects targeted at building next generation e-Science platforms for which he has gained UK and European funding in excess of £10million.