Abstract:This article examines how digital epidemiology and eHealth coalesce into a powerful health surveillance system that fundamentally changes present notions of body and health. In the age of Big Data and Quantified Self, the conceptual and practical distinctions between individual and population body, personal and public health, surveillance and health care are diminishing. Expanding on Armstrong’s concept of “surveillance medicine” to “quantified self medicine” and drawing on my own research on the symbolic powe… Show more
“…Artificial intelligence techniques of real time surveillance of digital medical records, for example, have proven to be superior to clinician assessments of suicide risk using structured instruments [65,66]. Indeed, sensitivity and specificity permitting, digital surveillance tools enhanced by artificial intelligence may usher in a new era of more responsive and deliberate public health interventions allowing experts to track the progress or the effects of targeted interventions in near real time [64,67]. Regardless of biomarker type, a careful process of translation is required to ensure they are implemented effectively.…”
Section: Brain Imaging and Digital Biomarkers Could Contribute To Thementioning
“…Artificial intelligence techniques of real time surveillance of digital medical records, for example, have proven to be superior to clinician assessments of suicide risk using structured instruments [65,66]. Indeed, sensitivity and specificity permitting, digital surveillance tools enhanced by artificial intelligence may usher in a new era of more responsive and deliberate public health interventions allowing experts to track the progress or the effects of targeted interventions in near real time [64,67]. Regardless of biomarker type, a careful process of translation is required to ensure they are implemented effectively.…”
Section: Brain Imaging and Digital Biomarkers Could Contribute To Thementioning
“…Samerski [41] defined e-health as follows: personal health management on the basis of statistical analyses of individual data (X). Regarding e-health, they propose digital epidemiology and digital health monitoring (X').…”
Section: Qualitative Analysis: the Three-level Modelmentioning
The United Nations Sustainable Development Goals (SDG) promote a sustainable future for all by leaving no one behind. This includes improving the access to information and communication technology (ICT) and using it to increase access to health services in all parts of a nation [1]. Electronic services that are used in healthcare are often referred to as electronic health (e-health) or mobile health (m-health). The difference between e-health and m-health is that m-health refers to services that are mobile and wireless, such as mobile phones [2]. However, some argue that m-health includes all telecommunication devices for the transfer of healthcare information between participants at different locations [3].
“…The purpose of data processing would be not only to precisely cure the individual, but to prevent illness and maintain the health of every citizen. Having every (or at least many) citizens involved would provide the desired benefit through big data analysis ( 15 ). Hence, many citizens would be willing to tick the box “I accept,” if the core of the promise was health.…”
Section: The Interaction Of Health Knowledge and Datamentioning
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