Journal
EUROPACE
Volume -, Issue -, Pages -Publisher
OXFORD UNIV PRESS
DOI: 10.1093/europace/euac052
Keywords
M-health; Wearable devices; Monitoring; Early detection; Digital healthcare solutions; Artificial intelligence
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Funding
- ESC
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Digital technology has become an essential part of medicine, improving patient care and enabling individuals to better manage their own health. Wearable technologies and artificial intelligence allow for real-time monitoring and analysis of health data. Privacy and security concerns, as well as regulatory and value assessment processes, are important considerations in the development and implementation of digital tools.
Digital technology is now an integral part of medicine. Tools for detecting, screening, diagnosis, and monitoring health-related parameters have improved patient care and enabled individuals to identify issues leading to better management of their own health. Wearable technologies have integrated sensors and can measure physical activity, heart rate and rhythm, and glucose and electrolytes. For individuals at risk, wearables or other devices may be useful for early detection of atrial fibrillation or sub-clinical states of cardiovascular disease, disease management of cardiovascular diseases such as hypertension and heart failure, and lifestyle modification. Health data are available from a multitude of sources, namely clinical, laboratory and imaging data, genetic profiles, wearables, implantable devices, patient-generated measurements, and social and environmental data. Artificial intelligence is needed to efficiently extract value from this constantly increasing volume and variety of data and to help in its interpretation. Indeed, it is not the acquisition of digital information, but rather the smart handling and analysis that is challenging. There are multiple stakeholder groups involved in the development and effective implementation of digital tools. While the needs of these groups may vary, they also have many commonalities, including the following: a desire for data privacy and security; the need for understandable, trustworthy, and transparent systems; standardized processes for regulatory and reimbursement assessments; and better ways of rapidly assessing value.
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