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article imageThe future of health is data

By Tim Sandle     Jun 15, 2018 in Health
A number of technological changes are impacting upon healthcare, from advanced scanners to the improvements to tackling disease that stem from DNA sequencing. However, data analytics will be the most revolutionary.
Data is key to Health 4.0 in many varied ways. Insights from New technologies can lead to new generations of medicines, especially more effective and targeted medications, provided patients will be willing to share information about their own health and responses to medicines with scientists. Another area where data will play an essential role is with artificial intelligence.
According to Juha Anhaka, who heads up EMEA Healthcare for JP Morgan, interviewed by Wired, algorithms are already assisting computer aided vision and image analysers. A notable example us with improved methods for the detection if cancer.
But things won't stop here the health analyst suggests. Artificial intelligence is being used to screen chemicals so that drug development happens faster. AI can even look back at current medications to see if they would, in fact, work against other disease (with what us termed 'resupposing' of medications).
Another area where artificial intelligence is showing promise is with creating a better service for consumers of healthcare, and with it alter the patient-doctor dynamic. Examples here are the use if telemedicine and chatbots. Chatbots harness natural language processing to provide rapid answer to many straightforward health questions. Recent advances with machine intelligence mean that chatbots can interpret the idiosyncrasies through which individual patients will attempt to express their health or medical queries. As an example chatbots from Babylon Health are being tested out by the U.K National Health Service.
Artificial intelligence us also being used to assess data gathered from wearable health centric devices, an area of health related technology that shows little sign if simmering down. The goal here is to use health related data collected from wearable devices with artificial intelligence to begin to make predictions about whether the user will develop an ill-health condition. An early warning could avoid expense for the wearer or even save a life. This is a step beyond from what health wearables currently do, moving them forwards to become interactive treatment tools.
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