The Journal of mHealth Vol 1 Issue 3 (June 2014) - Page 33

Conference News Previous healthcare revolutions have not proved to be quite as revolutionary as initially hoped. Although decoding the genome was a ground-breaking achievement, rather than providing a clear blueprint of our genetic selves, it revealed how much we did not know about the interaction of genes in determining human traits and the existence of epigenetics, the interaction of genes with their environment. Similarly, whether the potential treasure trove of data that accompanies the smartphone revolution will enhance our capacity to predict health status remains to be seen. We already have, however, rich sources of data available to us. One source is claims submitted from the providers to insurers to cover medical costs. This data provides information on the frequency of individual visits to the doctor, the conditions the individual suffers from, the geographic placement of claimants, the prescriptions or treatments undertaken by the doctors, and the effectiveness of these treatments as registered by the need of the individual to return to the doctor subsequently. On the whole, insurance claims have produced some remarkable insights: »» Behavioural models: Health records provided a surprisingly accurate prediction as to those individuals who might be more susceptible to being victims of domestic violence. »» Epidemiological models: Insurance claims have proved a good proxy in the identification of disease clusters and outbreaks. »» Predictive drug affects: The safety of drugs is generally measured in comparison to a reference drug. Using network models, adverse drug effects can be detected and even predicted years in advance. There are other rich sources of existing public data. One of these is search engine query data. One study suggests an inverse relationship between the availability of abortion services in a particular US state, and Google searches for abortion services. This may suggest that demand for abortion is relatively constant across different states, it is the supply side that accounts for different abortion search rates. The wireless future of medicine: How the digital revolution will create better healthcare (Adrian Ionescu, Professor of Nanoelectronics, Ecole Polytechnique Federale de Lausanne (EPFL), and Chair, Guardian Angels Initiative) Mobile health is not just an interface between individual and device. It will soon become part of a much more expansive and wider Internet-of-Things (IoT). This Internet-of-Things will not only capture health data; it will capture pollutant data; will monitor the way we drive and we live; will measure stress levels, with the final goal of proposing personalised safe and secure services for a better quality of life. Eventually it will allow the creation of smart cities and of a smarter society. The foundation of the IoT will be trillions of tiny wireless devices. Not only will it allow for smart care, it will allow for smart energy use and smart interaction. It will form part of our strategy to tackle problems caused by population ageing; the spread of chronic disease; and the associated healthcare costs. Creating an Internet-of-Things represents a major logistical challenge. Smartphone handsets will eventually come to be seen as cumbersome relics. The IoT relies on multi-parameter sensing technology being tiny and power free. Guardian Angels are future zero-power smart autonomous systems with sensing, computation, communication, and energy harvesting features. Over three years the Guardian Angels research partnership aims to reduce current energy device consumption by a factor of 100; over a ten year period, the partnership wants to reduce device energy consumption by a factor of a thousand. This can be done through combinations of advances in biochemical technology; through the application of stacked nanowire sensors; through the use of emerging 1D and 2D nanomaterials; through nanoelectronics and nanomechanics; enabling single molecule-sensing and novel functions in forgettable devices. These sensors will be able to function by use and storage of energy from adjacent energy sources, e.g. solar, thermal or vibration. All these technologies must be able to broadcast signals to some form of receptor and ultimately processor. n Health Datapalooza Review Health Datapalooza is a national conference focused on liberating health data, and bringing together the companies, startups, academics, government agencies, and individuals with the newest and most innovative and effective uses of health data to improve patient outcomes. vices; Francis Collins, MD, PhD, Director, National Institutes of Health; and, Adriana Lukas, Founder & Organiser, London Quantified Self. Conference attendees also heard about the launch of OpenFDA, a new initiative from the FDA’s Office of Informatics and Technology Innovation (OITI). This year’s event, held in Washington DC, had over 2000 attendees, over three days of keynotes, sessions, and events. There were a wealth of digital solu tions and health applications on show with live demonstrations from ActualMeds Corp, Purple Binder, and Maxwell Health. Developers were also invited to participate in the Code-a-Palooza challenge, which was won by Lyfechannel. n Among the keynote addresses were speeches from: Kathleen Sebelius, Secretary, Department of Health and Human Ser- The Journal of mHealth 31