The ProEmpower procurers are looking for a diabetes management solution that will tackle unmet needs in the current treatment of diabetes, such as:
- The fragmentation in today’s healthcare systems;
- The overreliance on and the ineffectiveness of pharmacotherapy;
- The late detection of the disease and;
- The frequency of severe complications.
This new solution is to provide personalised and multi-disciplinary care to diabetes patients and empower them to become responsible actors in their care process. It should address the need for stratification of patients according to risk, and promote the adoption of a team-based approach.
The procurers aim to make diabetes care person-centred, guided by a personalised decision support system. This will make it easier to set adequate treatment goals weighing in multiple factors.
Learning healthcare system
Self-management education will be a key component of the ProEmpower solution which will foster the creation of a peer support network for patients, in order to help them maintain a healthier lifestyle. At the same time, ProEmpower will contribute to creating a learning healthcare system based in a quality oriented culture that continuously improves itself.
The procurement will take the form of a pre-commercial procurement (PCP) under which R&D service contracts will be awarded to R&D providers in parallel in a phased approach. This will make it possible to compare competing alternative solutions.
Each selected operator will be awarded a framework agreement that covers three R&D phases. The three phases are:
- Solution design;
- Prototyping and original development, and;
- Validation and testing of a limited set of first products or services.
After each phase, intermediate evaluations will be carried out to select the best of the competing solutions. The contractors with the best-value-for-money solutions will be offered a specific contract for the next phase.
Bids can be submitted until 12pm (CET), 21 March 2018 to firstname.lastname@example.org.
ProEmpower receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 727409.