Heart failure (HF) remains a leading cause of mortality, morbidity and a burden to the healthcare system. Despite advancements in care, the incidence of HF remains high and patients with HF are at particularly high risk for frequent admissions. Remote monitoring technologies may improve patient care by increasing patient compliance, providing early indications of HF decompensation and potentially allowing for optimization of therapy to prevent HF admissions. While recent studies in invasive hemodynamic monitoring have already shown efficacy by reducing HF admissions and even mortality, multiple new and novel non-invasive methods have arisen as well, providing hope for millions of patients worldwide.
In this Research Topic, we will accept high-quality publications related to remote monitoring, including but not limited to: invasive monitors (including hemodynamic and other), sensors, non-invasive remote monitors, prediction tools based on big data and artificial-intelligence-based methods, and remote tools to improve patient compliance. Special emphasis will be put on innovative technologies and methods, as well as ground-breaking translational research.
Heart failure (HF) remains a leading cause of mortality, morbidity and a burden to the healthcare system. Despite advancements in care, the incidence of HF remains high and patients with HF are at particularly high risk for frequent admissions. Remote monitoring technologies may improve patient care by increasing patient compliance, providing early indications of HF decompensation and potentially allowing for optimization of therapy to prevent HF admissions. While recent studies in invasive hemodynamic monitoring have already shown efficacy by reducing HF admissions and even mortality, multiple new and novel non-invasive methods have arisen as well, providing hope for millions of patients worldwide.
In this Research Topic, we will accept high-quality publications related to remote monitoring, including but not limited to: invasive monitors (including hemodynamic and other), sensors, non-invasive remote monitors, prediction tools based on big data and artificial-intelligence-based methods, and remote tools to improve patient compliance. Special emphasis will be put on innovative technologies and methods, as well as ground-breaking translational research.
