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Open Access Chronic disease in a digital health environment

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This article is Open Access under the terms of the Creative Commons CC BY-NC licence.

Although we know that there are benefits to individual patients from electronic data, the next potential, and potentially the biggest, benefit will come from the technologies known as big data, machine learning, and artificial intelligence. Harnessing the potential of computers to sift through large amounts of data will result in the possibility of generating insights into individual patients, and into whole populations, predicting the risk of hospital admission for an individual, or tracking influenza epidemics to prepare adequate responses. Once the data are reliable, recorded in a computer-interpretable way, new horizons will open.
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Keywords: Ehealth; chronic disease; digital health; health systems; patient centred medicine

Document Type: Research Article

Publication date: 01 February 2018

More about this publication?
  • Family Medicine and Community Health (FMCH) is an open-access journal focusing on subjects that are common and relevant to family medicine/general practice and community health. The journal publishes relevant content across disciplines such as epidemiology, public health, social and preventive medicine, research and evidence based medicine, community health service, patient education and health promotion and health ethics. The journal has a specific focus on the management of chronic illness particularly diabetes, ischaemic heart disease, chronic heart failure, hypertension, bronchial asthma, chronic obstructive airways disease and common mental illness. FMCH is published by Compuscript on behalf of the Chinese General Practice Press

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