A cloud-based AI digital health platform (hospital 4.0) applied to nationwide cardiovascular clinical decision support

The project will implement a Cloud Artificial Intelligence (AI) digital health platform to eliminate avoidable and preventable errors in health care services by automating best practice clinical guidelines and delivering real time guidance to clinical decision makers, via notifications and escalations.

The initial clinical focus will be on cardiovascular services in rural/remote South Australia, however, the infrastructure will be commercially scalable to other chronic diseases across Australia and beyond. This project will assist health care providers to establish a central network to offer the best care possible to patients.

Outcomes (FY2020): 

  • Initial health data has been uploaded and presented on a platform, which has allowed panels of experts to quantify clinical guidance principals. 
  • Clinical AI algorithms have been developed and the team are developing user interfaces, while collecting a years worth of comparision data to prove the system.

Visit iCCnet for more details.

Case study:

Watch the video, My Health PoCiTT here.

Consortium leadIntegrated Cardiovascular Clinical Network (iICCnet)
Consortium membersAlcidion Corp, Cardihab, Chamonix Health, iCCnetl & SysLinx Pty Ltd
MTPConnect grant$256,000
Industry contribution$256,000
Project durationApril 2018 - July 2021
ContactDr Philip Tideman, iCCnet CHSA - Phil.Tideman@sa.gov.au