Development and evaluation of a text analytics algorithm for automated application of national COVID-19 shielding criteria in rheumatology patients.
Meghna JaniGhada AlfattniMaksim BelousovLynn LaidlawYuanyuan ZhangMichael ChengKarim WebbRobyn HamiltonAndrew S KanterWilliam Gregory DixonGoran NenadicPublished in: Annals of the rheumatic diseases (2024)
An automated algorithm for risk stratification has several advantages including reducing clinician time for manual review to allow more time for direct care, improving efficiency and increasing transparency in individual patient communication. It has the potential to be adapted for future public health initiatives that require prompt automated review of hospital outpatient letters.
Keyphrases
- machine learning
- deep learning
- public health
- quality improvement
- healthcare
- end stage renal disease
- coronavirus disease
- newly diagnosed
- ejection fraction
- sars cov
- big data
- prognostic factors
- high throughput
- palliative care
- peritoneal dialysis
- emergency department
- smoking cessation
- current status
- chronic pain
- patient reported outcomes
- health insurance
- systemic lupus erythematosus
- climate change
- juvenile idiopathic arthritis
- single cell
- acute care
- affordable care act