The Adelaide Score: prospective implementation of an artificial intelligence system to improve hospital and cost efficiency.

Background: The Adelaide Score is an artificial intelligence system that integrates objective vital signs and laboratory tests to predict likelihood of hospital discharge.

Methods: A prospective implementation trial was conducted at the Lyell McEwin Hospital in South Australia. The Adelaide Score was added to existing human, artificial intelligence, and other technological infrastructure for the first 28 days of April 2024 (intervention), and outcomes were compared using parametric, non-parametric and health economic analyses, to those in the first 28 days of April 2023 (control).

Saliva Proteome, Metabolome and Microbiome Signatures for Detection of Alzheimer's Disease.

As the burden of Alzheimer's disease (AD) escalates with an ageing population, the demand for early and accessible diagnostic methods becomes increasingly urgent. Saliva, with its non-invasive and cost-effective nature, presents a promising alternative to cerebrospinal fluid and plasma for biomarker discovery. : In this study, we conducted a comprehensive multi-omics analysis of saliva samples ( = 20 mild cognitive impairment (MCI), = 20 Alzheimer's disease and age- and = 40 gender-matched cognitively normal individuals), from the South Australian Neurodegenerative Disease (SAND) cohort, integrating proteomics, metabolomics, and microbiome data with plasma measurements, including pTau181.

Impact of frailty, malnutrition and socioeconomic status on perioperative outcomes.

Background: Frailty, malnutrition and low socioeconomic status may mutually perpetuate each other in a self-reinforcing and interdependent manner. The intertwined nature of these factors may be overlooked when investigating impacts on perioperative outcomes. This study aimed to investigate the impact of frailty, malnutrition and socioeconomic status on perioperative outcomes.

Copying in medical documentation: developing an evidence-based approach.

Background: Electronic medical records (EMRs) provide multiple efficiencies in communication to clinicians. The ability to copy and paste text in an EMR can be useful; however, it also conveys a risk of inaccurate documentation. Studies in international settings have described such overuse of copying to result in 'note bloat', with the dilution of relevant clinical information and potential clinical detriment.

Medication shortage behaviour change with multidisciplinary clinician-designed digital notification intervention.

Objectives: To evaluate the effect of a clinician-designed digital notification system on the use of intravenous paracetamol during a medication shortage.

Methods: An in-house digital notification platform was designed through multidisciplinary collaboration. A 4-week pre- and post-implementation methodology was employed to evaluate the effect of the intervention.