The DynAIRx Project Protocol: Artificial Intelligence for dynamic prescribing optimisation and care integration in multimorbidity.
Lauren Elizabeth WalkerAseel S AbuzourDanushka BollegalaAndrew CleggMark GabbayAlan GriffithsCecil KulluGary LeemingFrances S MairSimon MaskellSamuel ReltonRoy A RuddleEduard ShantsilaMatthew SperrinTjeerd Van StaaAlan WoodallIain BuchanPublished in: Journal of multimorbidity and comorbidity (2022)
By implementing and evaluating an AI-augmented visualisation of care records in an existing prescribing audit and feedback system we will create a learning system for medicines optimisation, co-designed throughout with end-users and patients.
Keyphrases
- artificial intelligence
- quality improvement
- primary care
- machine learning
- healthcare
- end stage renal disease
- big data
- palliative care
- deep learning
- ejection fraction
- newly diagnosed
- chronic kidney disease
- randomized controlled trial
- prognostic factors
- peritoneal dialysis
- pain management
- emergency department
- chronic pain