Background: The use of mobile technology to meet health needs, widely referred to as mobile health (mHealth), has played a critical role in providing self-management support for chronic health conditions. However, despite its potential…
Continue Reading
Background: Obsessive-compulsive disorder (OCD) is the third most prevalent mental health disorder in Singapore, with a high degree of burden and large treatment gaps. Self-guided programs on mobile apps are accessible and affordable interventions,…
Continue Reading
Background: Mobile Health (mHealth) interventions have the potential to improve health outcomes in low- and middle-income countries (LMIC) by aiding health workers to strengthen service delivery, and patients and communities to manage and prevent…
Continue Reading
Background: Smartphone apps and wearable activity trackers are increasingly recognized for their potential to promote physical activity (PA). While studies suggest that the use of commercial mobile health tools is associated with higher PA…
Continue Reading
Health systems across the country are scaling hybrid and home-based care models by integrating virtual visits with in-person services, deploying remote monitoring technologies, and partnering with home health providers to increase access while reducing…
Continue Reading
Regulated mobile health applications are called digital health applications (“DiGA”) in Germany. To qualify for reimbursement by statutory health insurance companies, DiGA have to prove positive care effects in scientific studies. Since the empirical…
Continue Reading
Background: Pulmonary hypertension (PH), is a chronic and complex condition, requiring consistent management and education. The widespread use of smartphones has opened possibilities for mobile health apps to support both patients and healthcare professionals…
Continue Reading
What You Should Know:
– Helfie AI, a global mobile health platform, has announced a strategic collaboration with Microsoft to offer its cutting-edge health assessment tools to Microsoft enterprise customers through the Azure Marketplace.
– Helfie…
Continue Reading
Background: Effective management of non-communicable diseases requires ongoing coordination and monitoring, often facilitated by e-health technologies such as mobile health (mHealth) applications. The end-user Mobile Application Rating Scale (uMARS) is a valuable tool for…
Continue Reading
This perspective article explores how process mining can extract clinical insights from mobile health data and complement data-driven techniques like machine learning. Despite technological advances, challenges such as selection bias and the complex dynamics…
Continue Reading
