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Keywords:

Remote Health Monitoring Long-Term Care (LTC) Wearable Health Devices AI in Long-Term Care Remote Patient Monitoring

AI-Enabled Remote Health Monitoring for Long-Term Care Residents

Authors

Bhanu Prakash Manjappasetty Masagali1
Leading Long Term Care Insurance Company in USA 1

Abstract

As the global population ages, the demand for long-term care (LTC) services has risen significantly. Long-term care facilities that support residents with chronic illnesses, disabilities, or age-related conditions face numerous challenges in delivering effective and efficient care. Traditional methods of monitoring residents' health often rely on periodic check-ups, which may overlook subtle changes in health, contributing to delayed interventions and escalating healthcare costs.

AI-enabled remote health monitoring represents a transformative solution to these challenges. By leveraging artificial intelligence (AI) technologies, such as wearable devices, smart sensors, and predictive analytics, healthcare providers can continuously monitor vital signs, detect health issues early, and personalize care plans for each resident. This white paper explores the current landscape of AI-driven monitoring in LTC, its benefits, challenges, and future potential.

Article Details

Published

2024-12-17

Section

Articles

License

Copyright (c) 2024 International Journal of Engineering and Computer Science Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

AI-Enabled Remote Health Monitoring for Long-Term Care Residents. (2024). International Journal of Engineering and Computer Science, 13(12), 26714-26718. https://doi.org/10.18535/ijecs/v13i12.4952