Research

Welcome to Tenovi’s weekly research roundup, where we summarize the latest published digital health studies, including telemedicine, remote patient monitoring, and telehealth innovations and their applications. This week, we focus on three new digital health study summaries exploring the potential of emerging technologies to transform chronic disease prevention and management in home settings. Join us

This week’s Remote Patient Monitoring Research Roundup explores three studies highlighting the use of digital tools, wearables, and chronic care remote patient monitoring (RPM). These studies provide factual insights into the perspectives, outcomes, and potential challenges associated with digital tools for chronic care management.  Perspective on Digital Tools for Chronic Disease Management A study conducted

A recent study in Scientific Reports highlights an innovative remote health monitoring system for heart failure patients, enabled by integrating Internet of Things (IoT) devices with  Artificial Intelligence (AI) algorithms. The system aims to improve prognosis and survival outcomes among heart patients by facilitating early emergency detection through real-time monitoring for heart failure. Leveraging AI

This week, we summarize an impactful study on a large-scale remote patient monitoring COVID-19 program for patients following emergency department discharge. Even months after recovering from COVID-19, many patients experience lingering effects known as long COVID, according to the CDC. People who experience long COVID have signs, symptoms, and conditions that continue or develop after

The integration of telehealth and cancer care is increasing, providing convenience, cost savings, and patient flexibility through phone, video, email, and text interactions. However, access barriers like technology literacy and broadband access can exacerbate disparities. A new study Strategies to Make Telemedicine a Friend, Not a Foe, in the Provision of Accessible and Equitable Cancer

Early detection of atrial fibrillation (AFib) prevents adverse cardiovascular events, including strokes and other heart-related issues. Furthermore, the convergence of atrial fibrillation and artificial intelligence (AI) research is leading the way in healthcare research. Researchers are working to develop AI models that enable swift and precise detection to prevent adverse cardiovascular events. Researchers at Cedars-Sinai

Digital health governance is a critical component in the advancement of healthcare. It’s a dynamic area where technology and governance work together to shape the future of healthcare. This involves striking a delicate balance between innovation and regulation. The goal is to maintain ethical, efficient, and patient-centric healthcare delivery while safeguarding patient rights. Clear guidelines