Wearable Technology in the Management of Chronic Diseases: A Growing Concern

Wearable technology in the management of chronic diseases has emerged as a significant and growing concern in healthcare. These technologies, including smartwatches, fitness trackers, and other sensor‐based devices, offer continuous monitoring and real‐time data collection for individuals with chronic conditions. The data collected can include vital signs, activity levels, sleep patterns, and more, providing valuable insights into a patient's health. This trend is particularly relevant in the context of chronic diseases, such as diabetes, cardiovascular conditions, and respiratory disorders, where continuous monitoring is crucial for effective management. Wearable devices empower patients to actively participate in their healthcare by facilitating self‐monitoring and promoting healthy behaviors. Healthcare providers can also leverage the data generated by these devices to make informed decisions, personalize treatment plans, and intervene proactively. However, challenges exist, such as data security and privacy concerns, the accuracy of the collected information, and the need for effective integration into existing healthcare systems. Despite these challenges, the increasing adoption of wearable technology in chronic disease management reflects a promising avenue for improving patient outcomes and reducing healthcare costs through preventive and personalized care. Wearable technology enables continuous monitoring of vital signs, activity levels, and other health metrics for individuals with chronic conditions, empowering patients to actively participate in their healthcare. This self‐monitoring promotes healthy behaviors and enhances patient engagement, contributing to better health outcomes and more personalized treatment approaches. Despite the advantages, incorporating wearable technology into clinical care is complex due to concerns over data privacy, device accuracy, and high costs. Additionally, effective integration requires addressing standardization issues in data collection and interpretation and maintaining patient trust by securing sensitive health information.