Embracing digital disruption using intelligent decision support for more responsive care, better patient outcomes and greater efficiency
Project Participants
Status: Ongoing
Opportunity
Evaluate the implementation of intelligent decision support solutions within a digital hospital system.
Project objective
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.
Publications
- Refereed Journal ArticlePublished 11th April 2024Consumer Preferences for a Healthcare Appointment Reminder in Australia: A Discrete Choice Experiment
- Refereed Journal ArticlePublished 18th October 2023Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care Settings: Scoping Review
- Refereed Journal ArticlePublished 24th February 2023Implementation costs of hospital-based computerised decision support systems: a systematic review
- Refereed Journal ArticlePublished 26th July 2023Identifying barriers and facilitators to successful implementation of computerized clinical decision support systems in hospitals: a NASSS framework-informed scoping review
- Refereed Journal ArticlePublished 1st July 2023Vital signs-based deterioration prediction model assumptions can lead to losses in prediction performance
- Refereed Journal ArticlePublished 23rd March 2023Evaluating the costs and consequences of computerized clinical decision support systems in hospitals: a scoping review and recommendations for future practice
- Refereed Journal ArticlePublished 7th June 2023Digital health solutions for reducing the impact of non-attendance: A scoping review
- Refereed Journal ArticlePublished 25th March 2023Integrating economic considerations into cutpoint selection may help align clinical decision support toward value-based healthcare
- Refereed Journal ArticlePublished 5th April 2023predictNMB: An R package to estimate if or when a clinical prediction model is worthwhile
- 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