Health System Analytics
Evidence-based performance and productivity improvements for the health system
CSIRO has solutions to improve productivity and efficiency within the health system.
Talk To Us About
Health System Productivity & Efficiency
• Predicting demand for patients presenting to the health system
• Capacity modelling and simulation to identify bottlenecks/overcrowding
• Bed configurations for current and future demand
• Winter bed planning and Syndromic surveillance
• Optimisation of surgery scheduling and theatre utilisation
• Early identification of patient deterioration
Hospital Avoidance
• Risk stratification to reduce re-admissions and preventable hospitalisations
• State of the art machine learning to combat the burden of chronic disease
• Improving care planning in a learning health system
Evidence Based Healthcare Delivery
• Evidence driven workflow and health system KPIs
• Informing policy around proposed changes such as after-hours healthcare delivery
• Understanding the drivers of evidence-based practices into routine health care
• Evaluation of care models and measuring translation of evidence to practice
Our Science Capabilities
Some Recent and Current Projects
Real-time Clinical Decision Support
• CSIRO-designed algorithm employed for Health Care Homes recruitment in Australian GP practices
• Real-time in-hospital decision support to reduce unplanned chronic disease rehospitalisation trialled in hospital and currently being developed for state-wide risk stratification
• FHIR based delivery of clinical decision support successfully trialled in NSW demonstrator project
• Data from Queensland’s integrated electronic Medical Record (ieMR) used to develop algorithms to predict patient risk of deterioration in near real time
Evaluation of Victorian HealthLinks Chronic Care Program
• Evaluating the effectiveness of flexible funding to reduce hospital readmissions for an at-risk group
• Ten Victorian health services participated in the trial
• At-risk group identified using a statistical model-based algorithm
• Mixed-methods design using the RE-AIM framework to measure outcomes
Helping health services respond to crisis and manage “Business as Unusual”
• Developing demand prediction and aberrance detection algorithms to support real time operational decision making at the Queensland Patient Access Coordination Hub (Q-PACH)
• Comprehensive patient flow analytics for a major tertiary QLD hospital
• Supporting state health services with the development and review of COVID forecasting models and intelligent tools like the COVID Barometer to inform and support decision making
• Development of a simulation tool to support improved planning & management of Operating Theatres
As Australia’s national science agency and innovation catalyst, CSIRO is solving the greatest challenges through innovative science and technology.
We are part of CSIRO’s national digital health program, the Australian e-Health Research Centre. We have been delivering scalable, innovative research and solutions to solve some of the greatest health and healthcare challenges throughout Australia and the world for more than 15 years.
The Australian e-Health Research Centre (AEHRC) is CSIRO's digital health research program and a joint venture between CSIRO and the Queensland Government. The AEHRC works with state and federal health agencies, clinical research groups and health businesses around Australia.