Andy
Senior Member (Voting rights)
Beyond Symptoms: How mHealth and Wearables Are Revolutionising Chronic Illness Monitoring
In an age of data-driven medicine and remote care, real-time symptom tracking is increasingly crucial, especially for people with chronic conditions. Symptom tracking is the practice of regularly monitoring physical and/or mental symptoms1, 2, from handwritten diaries to advanced mobile health (mHealth) applications and wearable devices1, 2, supporting patient autonomy, clinical decisions, and health equity.
At its core, symptom tracking allows individuals to log details about the type, severity, frequency, and context of symptoms over time. Though simple, it is transformative for chronic illnesses like rheumatoid arthritis, lupus, Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, and now long-COVID, where symptom vary in type, severity, and frequency3-6. Understanding these patterns can help clinicians and patients identify triggers, evaluate treatment efficacy, and make informed behavioural or medical choices. The COVID-19 pandemic has increased urgency for such tracking. While post-viral fatigue syndromes have long been known7, over two million UK residents reported long-COVID by early 20238. With post-exertional malaise being a sporadic and variable hallmark of both long-COVID and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome9, 10, symptom tracking is essential for effective management.
Open access
In an age of data-driven medicine and remote care, real-time symptom tracking is increasingly crucial, especially for people with chronic conditions. Symptom tracking is the practice of regularly monitoring physical and/or mental symptoms1, 2, from handwritten diaries to advanced mobile health (mHealth) applications and wearable devices1, 2, supporting patient autonomy, clinical decisions, and health equity.
At its core, symptom tracking allows individuals to log details about the type, severity, frequency, and context of symptoms over time. Though simple, it is transformative for chronic illnesses like rheumatoid arthritis, lupus, Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, and now long-COVID, where symptom vary in type, severity, and frequency3-6. Understanding these patterns can help clinicians and patients identify triggers, evaluate treatment efficacy, and make informed behavioural or medical choices. The COVID-19 pandemic has increased urgency for such tracking. While post-viral fatigue syndromes have long been known7, over two million UK residents reported long-COVID by early 20238. With post-exertional malaise being a sporadic and variable hallmark of both long-COVID and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome9, 10, symptom tracking is essential for effective management.
Open access