Cerebral palsy is the most common physical disability and the fifth most common cause of death in childhood. There is no known cure for this lifelong condition that has complex variations in symptoms and severity. Families are faced with challenges in how to find new, safe and effective interventions and how to choose treatments that align with their family priorities. People with the lived experience of cerebral palsy were connected with clinical experts, software developers and mHealth researchers through focus groups and workshops. Together, a mobile health (mHealth) aide was codesigned and developed to streamline and filter treatments based on family priorities. The aide contains a step-by-step guide, a search function, treatment factsheets, and support resources to empower evidence-based personalised decision making. The mHealth app has been endorsed by research partners and will be freely available in app stores worldwide.

In Australia, heatwaves result in more fatalities than any other natural disaster, underscoring their significant public health impact. Heatwaves have been associated with heightened ambulance demand, and this study examines their relationship with emergency department (ED) presentations for circulatory and respiratory diseases. The analysis, focusing on the peak heatwave months of December and January over five years, revealed a positive correlation between maximum temperatures and ED presentations. Specifically, ED presentations increased by approximately 4.2% during heatwave periods and 3.9% during non-heatwave periods for every one-degree Celsius rise in maximum temperature. These findings suggest that, alongside well-recognised factors such as population growth and an ageing population, climate change poses an additional and significant challenge to the healthcare system. As maximum temperatures rise, the increased demand for emergency healthcare services could hinder the timely delivery of critical care, necessitating proactive planning and adaptation to ensure resilience in the face of a warming climate.

Eating disorders are complex mental health conditions with significant morbidity and mortality, and a rising prevalence in children and adolescents. Despite global research and clinical efforts to improve outcomes, establishing routine, longitudinal data collection that facilitates individualised care in real-time and outcome assessment across clinical cohorts is crucial. The Royal Children's Hospital Eating Disorders Service have developed a world-first evaluation program that is integrated into the electronic medical record in a paediatric setting, capturing demographics, clinical characteristics, and treatment outcomes of young people receiving care over time. The design can be scaled across services to expand the dataset and enable comparisons of treatment modalities and subgroup outcomes - improving clinical decision making and, enabling longitudinal data collection, and facilitating national and international collaboration.

High latency in large neural networks, such as bidirectional encoder representations from transformers (BERT), poses a challenge for real-time applications. This study explores reducing the size of BERT through model distillation using DistilBioBERT, CompactBioBERT, and TinyBioBERT and by removing layers, with the goal of lowering computational and memory requirements for efficient semantic search of clinical terminology. Using a newly developed clinical dataset, the performance of these compact models is evaluated against pre-trained biomedical BERT variants with progressively fewer layers.

Prediabetes presents a critical window to prevent type 2 diabetes, a rising global health crisis, yet young adults often lack engaging preventive tools. This ongoing study aims to design and evaluate a web application to enhance health knowledge, engagement, and self-management for this at-risk group. This theoretical lens combines Design Science Research Methodology (DSRM), the theory of Task-Technology Fit (TTF), and the Unified Theory of Acceptance and Use of Technology (UTAUT). The proposed solution incorporates a unique combination of features learned through a previously conducted systematic literature review (SLR). Features include Machine Learning (ML)-based recommendations, educational modules, goal setting, gamification elements, and an artificial intelligence (AI)-incorporated chatbot. The proposed design to date is presented, in addition to the planned scenario-driven use cases to highlight the relevance of the proposed solution. A pilot study will assess usability, usefulness, satisfaction, and health knowledge via initial, midway, and final surveys mapped along with the design process. The data will be analysed via descriptive statistics and thematic analysis. This work-in-progress paper offers a streamlined, user-centred approach to designing and developing digital health interventions for prediabetes prevention while contributing insights for personalised digital health interventions.

Nurse practitioners have the clinical capability to support healthcare delivery services in geographically isolated communities and readily demonstrate a cost-effective, safe and competent alternate model of primary care for older adults. Despite carefully evaluating the pre-implementation context, recruitment challenges resulted in the ability for only one nurse practitioner to provide a telehealth support model. Guard rails to practise in the setting, necessary within the current profile of rural aged care and government policy flux, resulted in poor engagement and use of the provided advanced practice support. 'Grow your own' strategies are recommended as one potential solution.

The digital health technology readiness of nurses, nursing students, nurse academics, and nurse leaders in Australia was explored. Dominant themes included disillusionment between expectation and reality, and shared responsibility for the development of digital expertise. Adoption of existing capability and competence frameworks into curricula may be slow because of the accreditation requirements for nursing and midwifery programs. Health services collaborating with universities to provide nursing students with the opportunity for learning digital technologies while on clinical placement may enhance their confidence, enabling them to move beyond using technology effectively to focusing on learning to identify how data can inform improvements to patient care.

The SNOMED Expression Constraint Language (ECL) is a powerful but complex tool for querying clinical concepts within SNOMED CT, playing a critical role in clinical decision support, data analysis, and healthcare interoperability. However, its steep learning curve - requiring both syntactic expertise and in-depth knowledge of SNOMED CT's coding system - creates significant challenges for non-specialists. To address this issue, a novel approach is proposed that leverages state-of-the-art Large Language Models (LLMs) to translate natural language questions into ECL queries. The model is designed to perform bidirectional tasks: generating ECL queries from user questions and providing natural language explanations for ECL queries, making the language more accessible and easier to understand. This work represents the first research effort to tackle this specific translation challenge, supported by the development of custom datasets and a novel pipeline that integrates multiple AI agents. Evaluation results demonstrate that the proposed model achieves 83.78% accuracy, highlighting the significant potential of LLMs for translating natural language questions into SNOMED ECL.

The increasing use of digital technologies in healthcare in Australia necessitates the need for higher education institutions to equip undergraduate students with the necessary skills to use these digital tools effectively and efficiently. The rise in consumer engagement and expectations requires graduates to be more digitally literate to provide education to their clients. Equipping students with key foundational digital health skills and knowledge is important when students are entering the real world through practicums and eventual graduate programs.

This article has been withdrawn from publication at the request of the corresponding author.