An m-Health intervention to improve education, self-management, and outcomes in patients admitted for acute decompensated heart failure: barriers to effective implementation.
Georgios ZisisMelinda J CarringtonBrian OldenburgKristyn WhitmoreMaria LayQuan HuynhChristopher NeilJocasta BallThomas H MarwickPublished in: European heart journal. Digital health (2021)
Although AI-based education is promising in chronic conditions, our study provides a note of caution about the barriers to enrolment in critically ill, post-acute, and elderly patients.
Keyphrases
- liver failure
- healthcare
- heart failure
- quality improvement
- respiratory failure
- drug induced
- public health
- aortic dissection
- hepatitis b virus
- primary care
- artificial intelligence
- health insurance
- extracorporeal membrane oxygenation
- metabolic syndrome
- deep learning
- skeletal muscle
- machine learning
- acute heart failure
- climate change
- health promotion
- ejection fraction
- insulin resistance
- acute respiratory distress syndrome