Within a short span of time, mobile phones and low cost peripherals are likely to provide an enormous opportunity to deliver affordable diagnostics and decision support to the majority of the world's poor. There are also significant barriers and pitfalls, including over-diagnosis with the potential to overwhelm healthcare systems, the proliferation of devices and applications with little scientific validity, over-regulation and over-patenting, all leading to cost increases and barriers to innovation. I will discuss some of these topics and present a few examples of healthcare projects which may address these issues.
About the speaker:
Prof Gari Clifford is the founding Director of the Centre for Affordable Healthcare Technology at Kellogg College and an Honorary Professor in the Dept of Neuroscience at the University of Oxford, where he leads the biotech theme at the Sleep & Circadian Neuroscience Institute. He recently joined the faculty at Emory University's Dept. of Bioinformatics, and the Dept. of Biomedical Engineering at the Georgia Institute of Technology to introduce Big Data to Critical Care. Prof. Clifford's research group is focused on using machine learning and signal processing with low cost hardware to create globally scalable healthcare diagnostics and decision support.