Successful remote patient monitoring depends on bidirectional interaction between patients and multidisciplinary clinical teams. Invasive pulmonary artery pressure monitoring has been shown to reduce heart failure (HF) hospitalizations, facilitate guideline-directed medical therapy optimization, and improve quality of life. Cardiac implantable electronic device-based multiparameter monitoring has shown encouraging results in predicting future HF-related events. Potential expanded indications for remote monitoring include guideline-directed medical therapy optimization, application to specific populations, and subclinical detection of HF. Voice analysis, inferior vena cava diameter monitoring, and artificial intelligence-based remote electrocardiogram show potential to gain some merit in remote patient monitoring in HF.
Keyphrases
- heart failure
- artificial intelligence
- pulmonary artery
- inferior vena cava
- acute heart failure
- coronary artery
- machine learning
- end stage renal disease
- pulmonary hypertension
- newly diagnosed
- pulmonary embolism
- pulmonary arterial hypertension
- stem cells
- deep learning
- case report
- chronic kidney disease
- atrial fibrillation
- risk assessment
- bone marrow
- mesenchymal stem cells
- climate change
- peritoneal dialysis
- current status
- human health
- label free