Telemedicine in Heart Failure in the COVID-19 and Post-Pandemic Era: What Have We Learned?
Mateusz SokolskiMarta Kalużna-OleksyAgnieszka TycińskaEwa Anita JankowskaPublished in: Biomedicines (2023)
Numerous studies showed that patients with heart failure (HF) and COVID-19 are at high risk of in-hospital complications and long-term mortality. Changes in the organisation of the medical system during the pandemic also worsened access to standard procedures, increasing the general mortality in HF and forcing the systems to be reorganised with the implementation and development of telemedical technologies. The main challenges for HF patients during the pandemic could be solved with new technologies aimed to limit the risk of SARS-CoV-2 transmission, optimise and titrate the therapy, prevent the progression and worsening of HF, and monitor patients with acute HF events in the course of and after COVID-19. Dedicated platforms, phone calls or video conferencing and consultation, and remote non-invasive and invasive cardiac monitoring became potential tools used to meet the aforementioned challenges. These solutions showed to be effective in the model of care for patients with HF and undoubtedly will be developed after the experience of the pandemic. However, the multitude of possibilities requires central coordination and collaboration between institutes with data protection and cost reimbursement to create effective mechanisms in HF management. It is crucial that lessons be learned from the pandemic experience to improve the quality of care for HF patients.
Keyphrases
- sars cov
- coronavirus disease
- acute heart failure
- healthcare
- respiratory syndrome coronavirus
- heart failure
- end stage renal disease
- palliative care
- chronic kidney disease
- newly diagnosed
- quality improvement
- risk factors
- stem cells
- emergency department
- coronary artery disease
- cardiovascular disease
- machine learning
- electronic health record
- bone marrow
- big data
- acute care
- patient reported
- affordable care act
- cell therapy
- artificial intelligence