A5101420475- Artificial Intelligence in Healthcare and Education
- Intensive Care Unit Cognitive Disorders
- Attention Deficit Hyperactivity Disorder
- Machine Learning in Healthcare
- Clinical Reasoning and Diagnostic Skills
- Schizophrenia research and treatment
- Pharmaceutical studies and practices
- Retinal Imaging and Analysis
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
- Geriatric Care and Nursing Homes
- Frailty in Older Adults
The University of Sydney
2023-2024
South West Yorkshire Partnership NHS Foundation Trust
2010
delirium is likely to be particularly common in care homes, given the clustering of known risk factors these settings. Preventing should result significant benefits, including better quality and improved outcomes for residents.to test feasibility 'Stop Delirium!', an intervention prevent homes older people, optimise parameters inform design a future trial evaluation.we delivered Stop Delirium! six over 10 months, mixed methods before after study.Stop was successfully implemented study homes....
Drug–drug interactions (DDIs) present a significant health burden, compounded by clinician time constraints and poor patient literacy. We assessed the ability of ChatGPT (generative artificial intelligence‐based large language model) to predict DDIs in real‐world setting. Demographics, diagnoses prescribed medicines for 120 hospitalized patients were input through three standardized prompts version 3.5 compared against pharmacist DDI evaluation estimate diagnostic accuracy. Area under...
Objective: To determine antipsychotic utilisation patterns in Australian adults from 2005 to 2021, with a focus on on-label and off-label prescriptions. Methods: We examined dispensing trends 2021 using 10% sample of the Pharmaceutical Benefits Scheme (PBS) dataset, which contains patient-level information medicines dispensed throughout Australia. The lack diagnostic PBS was substituted by analysing BEACH (Bettering Evaluation And Care Health) cross-sectional national survey 2000 2016,...