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: Over the last 12 months, the program has been comparing AI intervention compared to manual intervention in more than 3000 cases. Patients were relatively stable over the 12 months of monitoring which meant that it was not possible to draw statistically significant results, however early data shows promising results that the clinically-derived algorithms can allow scale up of home monitoring software.
| State | South Australia |
| Consortium lead | Integrated Cardiovascular Clinical Network (iICCnet) |
| Consortium members | Alcidion Corp, Cardihab, Chamonix Health, iCCnetl & SysLinx Pty Ltd |
| MTPConnect grant | $253,420 |
| Industry contribution | $408,341 |
| Project duration | April 2018 - July 2021 (Finished) |
| Contact | Dr Philip Tideman, iCCnet CHSA - Phil.Tideman@sa.gov.au |
Visit iCCnet for more details.
Watch the video, My Health PoCiTT here.
Case study: AI platform improving health outcomes for patients with chronic illness in rural South Australia