Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs).
Diederik De CockElena MyasoedovaDaniel AletahaPaul StudenicPublished in: Therapeutic advances in musculoskeletal disease (2022)
Health care processes are under constant development and will need to embrace advances in technology and health science aiming to provide optimal care. Considering the perspective of increasing treatment options for people with rheumatic and musculoskeletal diseases, but in many cases not reaching all treatment targets that matter to patients, care systems bare potential to improve on a holistic level. This review provides an overview of systems and technologies under evaluation over the past years that show potential to impact diagnosis and treatment of rheumatic diseases in about 10 years from now. We summarize initiatives and studies from the field of electronic health records, biobanking, remote monitoring, and artificial intelligence. The combination and implementation of these opportunities in daily clinical care will be key for a new era in care of our patients. This aims to inform rheumatologists and healthcare providers concerned with chronic inflammatory musculoskeletal conditions about current important and promising developments in science that might substantially impact the management processes of rheumatic diseases in the 2030s.
Keyphrases
- healthcare
- artificial intelligence
- big data
- end stage renal disease
- public health
- quality improvement
- palliative care
- machine learning
- ejection fraction
- electronic health record
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- rheumatoid arthritis
- affordable care act
- health information
- deep learning
- primary care
- pain management
- prognostic factors
- mental health
- risk assessment
- oxidative stress
- physical activity
- single cell
- smoking cessation
- social media