Embracing digital disruption using intelligent decision support for more responsive care, better patient outcomes and greater efficiency
Evaluate the implementation of intelligent decision support solutions within a digital hospital system.
This project seeks to demonstrate the benefits of digital hospital systems in Queensland’s Metro South Hospital and Health Service.
While it will initially use ‘offline’ records for new analytics and decision support solutions, it will also evaluate the implementation of real time analytics and decision support.
The program of research will identify the highest priority clinical areas for implementation of intelligent decision support solutions, and the clinical teams who are prepared to trial these.
The team will also demonstrate the extent to which machine learning can be used to predict key problem area events and produce actionable intelligence to guide clinical decisions if implemented in real-time.
The project aims to identify the preferred approaches for clinicians receiving and interacting with intelligent decision support solutions and produce economic models to understand the potential cost-effectiveness of this technology.
Finally, the research team will produce a prioritised list of opportunities for intelligent decision support solutions to be carried forward for further testing.
- Refereed Journal ArticlePublished 17th August 2022Inpatient fall prediction models: a scoping review
- Refereed Journal ArticlePublished 22nd June 2022A scoping review of real-time clinical deterioration alerts and evidence of impacts on patient outcomes
- Refereed Journal ArticlePublished 13th September 2021Clinical prediction models for hospital falls: a scoping review protocol