Medicinal terminologies depend on expert-authored fully specified names (FSNs) and preferred terms (PTs) that encode implicit editorial rules not formally represented in ontologies. This work explores the use of large language models to learn and apply these rules for automated medicinal terminology naming. Using existing OWL-defined concepts from the HSE Ireland medicinal terminology, this project evaluated a four-level approach ranging from direct fine-tuning to rule-compositional cascading prompts. Results across six medicinal concept types show that the cascading prompt framework further improves accuracy, numerical robustness, and interpretability by explicitly modelling editorial decision steps, enabling scalable and consistent FSN and PT generation.
This study updated an existing health information technology maturity and staging model for nursing homes to support alignment with value-based care. Using a five-round Delphi process (November 2023-July 2024), 22 national long-term care health information technology experts reviewed and refined a validated model of 183 items across 27 content areas. Consensus-based revisions resulted in a streamlined model with 142 items across 21 content areas organised into four domains: resident care, nursing care, clinical support, and administrative activities. Most items (86%) were assigned to Stage 4 or higher, indicating readiness for bi-directional data exchange and resident-centred data use. The revised model provides an expert-informed, policy-relevant framework to guide nursing home health information technology development and value-based care readiness by 2030.
The ICD-11 has been designed to be a foundational classification for the whole of the health, disability and aged care systems, providing a basis for consistent statistics and data analytics. The Australian Institute of Health and Welfare (AIHW) is preparing a business case, planned to be presented to governments in late 2026, to inform a national decision on the scope of ICD-11 implementation in Australia. This will be based on the information that is being gathered about the potential benefits of the use of ICD-11 in the Australian context.
The Initial Patient Assessment (IPA) documentation within the selected healthcare organisation's electronic medical record (EMR) is a key component of nursing documentation and planning for patients' hospitalisations. Since its implementation in 2019, the EMR IPA documentation has not been re-assessed for usefulness or completeness. A project was developed to assess, re-design and implement an updated IPA using the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. New IPA forms were co-designed with consumers and nurses to be more conversational and implemented across the organisation for neonatal admissions, paediatric admissions, adult admissions, and adult and paediatric day ward admissions. Improvement in completeness and usefulness was sustained, and this project filled a gap in the literature by providing a co-designed approach to nursing documentation within the EMR with end-users and consumers.
Digital wellness interventions for preventive health, such as prediabetes management, often face high dropout rates due to insufficient personalisation and motivational support. This design science research study presents a self-determination theory (SDT)-informed gamification framework to address these challenges. Drawing on a systematic literature review, the study identifies engagement barriers, facilitators, and empirical evidence to guide design. The framework maps strategies to SDT's core constructs: autonomy (user-defined goals with structured guidance and selectable difficulty levels), competence (adaptive challenges with badges and points), and relatedness (collaboration-focused progress sharing). The framework was co-designed with 20 young adults in Australia and validated by six multidisciplinary experts. The study revealed that 60% of participants felt overwhelmed with fully open goal setting, highlighting that structured guidance is essential for autonomy support in preventive wellness applications. These findings informed the development of MiCARE, a progressive web app that operationalises the framework with user-centred, motivationally aligned features. This study offers a replicable, theory-driven approach for designing engaging preventive wellness interventions.
