Telehealth Monitoring Lensing Deep Neural Learning Structure: Ambient Patient Wellness via Wearable Devices for Real-time Alerts and Interventions

Authors

  • Bhupinder Singh

Keywords:

Deep Neural Learning, Patient Wellness, Real-time Alerts, TeleHealth, Wearable Devices

Abstract

Telehealth monitoring coupled with a sophisticated deep neural learning structure is ushering in a new era in healthcare by introducing ambient patient wellness. At the core of this paradigm is the seamless integration of wearable devices that enable real-time monitoring of vital health parameters. As utilization of wearable devices represents a pivotal shift in healthcare, allowing for unobtrusive and continuous monitoring. These devices equipped with sensors capture a plethora of health-related data, ranging from basic vitals such as heart rate and blood pressure to more nuanced metrics like sleep patterns and physical activity. The application of such wearables in the fabric of daily life ensures a holistic and ambient approach to patient wellness. Telehealth monitoring and deep neural learning structures are revolutionizing patient care. Ambient Patient Wellness through wearable devices and real-time interventions signifies a paradigm shift toward a proactive, personalized, and integrated healthcare system. As technology continues to evolve, the prospects for improving patient outcomes and overall wellness through this innovative framework are limitless.

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Published

2023-10-16

How to Cite

Singh, B. . (2023). Telehealth Monitoring Lensing Deep Neural Learning Structure: Ambient Patient Wellness via Wearable Devices for Real-time Alerts and Interventions. Indian Journal of Health and Medical Law, 6(2), 32–36. Retrieved from https://lawjournals.celnet.in/index.php/ijhml/article/view/1394