Future Scope of Wearable Devices and AI in End-of-Life Care
cancer, terminal cancer, death
CANCER, TERMINAL CANCER, EVENTS
Many patients with terminal cancer expressed a preference for living and dying at home, as it provides comfort, autonomy, security, and social interaction [External validation: validate the robustness of prediction models in different health care facilities and among diverse populations, including patients at the end of life without a cancer diagnosis, to ensure the generalizability of the models.Prediction of other important events: explore the prediction of crucial events other than death in end-of-life care, such as emergent medical needs that require timely intervention. These predictions can significantly impact the quality of care provided to home-based patients.Real-world application: assess the benefits of integrating wearable devices and AI into real-world end-of-life care settings. For example, determine whether AI-powered predictions can help reduce emergency department visits or whether wearable devices enhance patients’ sense of safety during home care. Further research is needed to examine the practical application of wearable devices and AI in end-of-life care, with a focus on improving the overall quality of the care provided.