IMPACT
Intelligence based iMprovement of Personalized treatment And Clinical workflow supporT
Project description
Healthcare faces many challenges like improving patient outcome and working more cost-effectively in the face of growing demand, declining staff capacity and the rapid succession of new clinical and technological developments. The IMPACT project will address these challenges by building on preceding ITEA projects like MEDIATE and BENEFIT to add the next logical step: from evidence-based towards intelligence-based healthcare. To achieve intelligence-based healthcare the IMPACT project will promote automatic data collection and artificial intelligence throughout the complete clinical pathway.
http://www.impact-itea-project.eu
Belgium
Barco N.V.
Belgium
FEops
Belgium
Netherlands
Leiden University Medical Center
Netherlands
NewCompliance IT BV
Netherlands
Philips Electronics Nederland B.V.
Netherlands
Philips Medical Systems Nederland B.V.
Netherlands
Quantib BV
Netherlands
University of Twente
Netherlands
Utrecht University Medical Center (UMC)
Netherlands
Sweden
Project publications
- IMPACT Project profile leaflet Project Leaflet 22 March 2019 Download
- Community Talk with Herman Stegehuis Magazine article Issue 35 (March 2020) Download
- ITEA IMPACT Exploitable Results by Third Parties Exploitable Results 16 September 2021
- IMPACT project concludes first step for AI-based efficiency improvement in hospitals News item 23 September 2020
- IMPACT project optimises clinical workflows News item 10 November 2021
Work package documents
- D.5.3.1 IMPACT Clinical Busines Information Systems Final.pdf Work package document 31 July 2021
- D4.1.1 IMPACT State of the art in medical robotics and navigation.pdf Work package document 09 October 2019
- D5.1.1 IMPACT Definition of workflows and data collection methods for selected clinical workflows - public version.pdf Work package document 06 November 2019
- D7.3 IMPACT Updated SotA final.pdf Work package document 13 September 2021
- State of the art deep learning methods for 3D image segmentation Work package document 26 June 2019
- State of the Art on current MR based approaches for detecting and segmenting brain tumours Work package document 26 June 2019