To access this element change to forms mode OFF
Grant Award View - GA320147
Applying artificial intelligence for surveillance of infections in...
GA ID:
GA320147
Agency:
Department of Health and Aged Care
Approval Date:
22-Apr-2023
Publish Date:
5-Jul-2023
Category:
Medical Research
Grant Term:
15-Jun-2023 to 6-Nov-2027
Value (AUD):
$2,883,741.00
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
DoHAC 22/23 Health Policy Research and Analysis
Grant Program:
Medical Research Future Fund
Grant Activity:
Applying artificial intelligence for surveillance of infections in cancer
Purpose:
| The next-generation digital EINSTEIN (enhancing infection surveillance to transform excellence in national cancer care) platform will utilise a digital learning health framework and novel data science to address the unmet need of detecting serious and emerging infections in the immune-compromised cancer population. The project will prospectively develop a national scalable system standardising digital algorithms that will support the continual improvement and validation of existing and new algorithms in a research environment. The supply of algorithm outputs to clinicians will be facilitated by building a clinical portal to accommodate everyday workflows in an electronic health record environment for regular clinical use. |
GO ID:
GO Title:
MRFF 2022 National Critical Research Infrastructure Grant Opportunity
Internal Reference ID:
MRFCRI000188
Selection Process:
Open Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
UNIVERSITY OF MELBOURNE
Recipient ABN:
84 002 705 224
Grant Recipient Location
Suburb:
MELBOURNE
Town/City:
MELBOURNE
Postcode:
3010
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3052
Country:
AUSTRALIA