Hypertension management in 2030: a kaleidoscopic view.
Spoorthy KulkarniPublished in: Journal of human hypertension (2020)
The last decade has witnessed the healthcare system going paperless with increased use of electronic healthcare records. Artificial intelligence tools including smartphones and smart watches have changed the landscape of day-to-day lives. Digitisation, decentralisation of healthcare and empowerment of allied healthcare providers and patients themselves have made shared clinical decision-making a reality. The year 2020 quickly turned into an unprecedented time in our lives with the entry of COVID-19. Amidst a pandemic, healthcare systems rapidly adapted and transformed, and changes that otherwise would have taken a decade, took a mere few weeks (Webster, Lancet 395:1180-1, 2020). This essay reviews evidence of transformation in the realm of hypertension management, namely diagnosis, lifestyle changes, therapeutics and prevention of hypertension at both individual and population levels, and presents an extrapolation of how this transformation might shape the next decade.
Keyphrases
- healthcare
- artificial intelligence
- blood pressure
- coronavirus disease
- sars cov
- end stage renal disease
- machine learning
- decision making
- chronic kidney disease
- newly diagnosed
- big data
- deep learning
- cardiovascular disease
- metabolic syndrome
- prognostic factors
- peritoneal dialysis
- ejection fraction
- small molecule
- health information
- weight loss
- single cell
- affordable care act
- patient reported outcomes
- patient reported