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
- coronavirus disease
- end stage renal disease
- ejection fraction
- high throughput
- big data
- sars cov
- newly diagnosed
- palliative care
- prognostic factors
- artificial intelligence
- case report
- juvenile idiopathic arthritis
- chronic pain
- adverse drug
- smoking cessation
- pain management
- neural network
- climate change
- human health