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Big data, better health

04-Nov-2015

Key points from article :

Current electronic health records will soon be dwarfed by data generated by genetic and blood-marker tests, in addition to advanced scans and activity trackers.

Main challenge is getting unstructured health data into a meaningful form so that it can be analysed.

5 per cent of people with chronic diseases account for around 50% of healthcare spending.

Trial equipped 135 patients with telehealth monitoring technology at home – enabling a mobile intensive care team to visit patients’ homes and intervene at the first sign of trouble.

Predictive, algorithm-fuelled approach reduced hospitalisations by 45 per cent, care costs by 27 per cent and acute response costs by 32 per cent.

Mentioned in this article:

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John Huffman

Advisory Board for AI and Healthcare Platform Expert at Luxsonic Technologies Inc

NHS

UK National Health Service, publicly funded healthcare system in England

Philips Healthcare

Part of Philips providing innovative solutions for healthcare.

Topics mentioned on this page:
AI in Healthcare