As technology advances, telemedicine has become a promising field of research, addressing various aspects of healthcare. This blog post covers 3 studies on telemedicine research topics, including patient care outcomes for diabetes, blood pressure, and cancer care. 1) Telemedicine Research
Tenovi Fast Facts About Remote Patient Monitoring provides a quick and engaging opportunity to advance your awareness of telehealth, telemedicine, and remote patient monitoring statistics and topics. In addition, these RPM facts are perfect for encouraging conversations with stakeholders. All
Remote patient monitoring (RPM) for Alzheimer’s disease can help measure cognitive and functional decline in Alzheimer’s and dementia patients. The benefit of RPM is that it offers a real-world view of patients in their home environment. In this blog post,
A new remote health innovation has been approved for at-home health monitoring in cancer patients. Entia, a data analytics and remote patient monitoring company dedicated to improving cancer patient experiences, received approval for the world’s first at-home blood count analyzer
Value-based care in oncology is gaining traction as a model that emphasizes patient outcomes and cost-efficiency. One of the critical challenges within this framework is managing inpatient admissions, particularly for oncology patients who often require extensive hospital stays. Value-based care
International Men’s Health Week, celebrated each June, raises awareness about the unique health concerns that affect men. Hypertension, commonly known as high blood pressure, is a chronic condition prevalent among men. In recent years, remote blood pressure monitoring devices have
Remote patient monitoring (RPM) is improving patient care and reducing costs. However, implementing RPM into healthcare workflows can seem like a big challenge. This article explores these challenges and proposes solutions to these obstacles. Understanding and addressing challenges is key
In clinical research, data is everything. The quality and accuracy of the data collected during remote patient monitoring (RPM) clinical trials are key to understanding the safety and efficacy of new drugs and medical treatments. However, traditional methods of collecting
The Integrating artificial intelligence (AI) into remote patient monitoring (RPM) systems has improved patient outcomes and efficiencies in the rapidly advancing healthcare field. A recent study, “The Effect of an AI-Based, Autonomous, Digital Health Intervention Using Precise Lifestyle Guidance on
Subscribe to Our Monthly Newsletter