Data-driven monitoring in patients on left ventricular assist device support.
Lieke NumanMehran MoazeniMarish I F J OerlemansEmmeke AartsNiels P van der KaaijFolkert W. AsselbergsLinda W Van LaakePublished in: Expert review of medical devices (2022)
Several studies described initial experiences on telemonitoring in LVAD patients, using mobile phone applications to collect clinical data and pump data. This may replace frequent hospital visits in near future. In addition, algorithms were developed aiming to early detect pump thrombosis or driveline infections. Since not all complications are reflected by pump parameters, data from different sources should be combined to detect a broader spectrum of complications in an early stage. We need to focus on the development of sophisticated but understandable algorithms and infrastructure combining different data sources, while addressing essential aspects such as data safety, privacy, and cost-effectiveness.
Keyphrases
- electronic health record
- big data
- end stage renal disease
- early stage
- machine learning
- newly diagnosed
- left ventricular assist device
- ejection fraction
- chronic kidney disease
- prognostic factors
- drinking water
- mental health
- radiation therapy
- peritoneal dialysis
- emergency department
- patient reported outcomes
- data analysis
- artificial intelligence
- patient reported