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EUREKA ITEA4 SYMPHONY - Ecosystem for disease specific clinical workflow and data integration

Reference number
Coordinator Cuviva AB
Funding from Vinnova SEK 14 580 000
Project duration October 2022 - December 2025
Status Ongoing
Venture Eureka cluster co-funding 

Purpose and goal

The Swedish SYMPHONY project aims to create an ecosystem based on vendor-neutral data models to enable solution providers in health tech to create value based on their respective areas of expertise and business interests. The Swedish consortium will pilot the ecosystem with respect to application development, data interoperability and data reusability in the prostate cancer care flow at Karolinska University Hospital (KAR).

Expected effects and result

The immediate effects of this project include creating understanding for the clinical and digital challenges among tech providers and end users, which will lead to better products and better (public) procurement processes.The long-term effects of the full clinical implementations include dramatic reduction in administrative burden for medical staff, reduced development and implementation efforts needed for new technical add-ons, reduced development/implementation costs, and, arguably most importantly, improved care quality and reduced cancer burden in the society.

Planned approach and implementation

The Swedish partners will work in a total of 7 work packages: 1. Use Cases, Requirements and Validation (Leader: Karolinska University Hospital) 2. Architecture & Specifications (Leader: Philips) 3. Clinical Pathway Modelling (Leader: Cuviva) 4. Pluggable AI Application Components and Services (Leader: Karolinska Institutet) 5. Open Data Backbone (Leader: Cambio) 6. Integration, demonstration and Verification (Leader: Karolinska University Hospital) 7. Project management, dissemination, exploitation and standardization (Leader: Philips)

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 28 November 2024

Reference number 2022-01275