Health Data Generation in Digital Healthcare and ‘Keeping the Patient Well’

Tayyib, N., Alsolami, F., Asfour, H. I., Ramaiah, P., Ahmed, E. E. & Lindsay, G. M.*

Faculty of Nursing, Umm Al-Qura University, Kingdom of Saudi Arabia

Dr. Lindsay, G. M., Faculty of Nursing, Umm Al-Qura University, Kingdom of Saudi Arabia.

Keywords: Digital Healthcare; Healthcare Data; Generation of Patient Data; Wearable Technologies


Everyday life has experienced an increase in the availability of mechanisms to measure health data and activities associated with health and well-being. The concept is not new as is evidenced by the historical availability and use of domestic body weight monitoring scales. The invention of Wi-Fi and digital processing of human activity has transformed the population’s capability to assess and monitor a large and growing body of health-related data. The data can be viewed locally, can be interpreted and stored and in some cases for linkage to remote consultation and/or consultation services. The emergence of artificial intelligence (AI), a capability for the analysis and interpretation of meaning in datasets, is central to the functionality of many of the outputs from health device. AI-powered devices are integrated into many of the anticipatory functions available on mobile phones, ‘SMART’ appliances and in searching for subjects via the internet guided by an analysis of your previous use, demographics and perhaps unknown factors identified for the user.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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