C3-Cloud | Smart solutions for management of multimorbidity

C3-Cloud is a European Commission sponsored project that is developing innovative ICT solutions to support multi-morbidity.

Patients

C3-Cloud is developing easy to use online programmes for patients and their caregivers to use, to better manage multiple conditions.

Health and care professionals

C3-Cloud is developing care planning applications for multi-professional team use, to better co-ordinate care across diseases.

Health and care provider organisations and health system funders

C3-Cloud is aligning clinical guidelines, streamlining care pathways and optimising multi-morbidity treatment options.

Health ICT sector

The C3-Cloud solution is capable of integration as components or as a whole solution into different existing EHR systems.

Personalised care for multimorbidities

Multi-morbidity

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Polypharmacy

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Patient empowerment

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Personalised care planning

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Between 2015 and 2035, multi-morbidity prevalence is estimated to increase, the proportion with 4+ diseases almost doubling

Kingston A et al. Projections of multi-morbidity in the older population in England to 2035: estimates from the Population Ageing and Care Simulation (PACSim) model

Age and Ageing, Volume 47, Issue 3, May 2018, Pages 374–380, https://doi.org/10.1093/ageing/afx201

%

2015

%

2035

Latest News

C3-Cloud and Trillium II collaboration

Mar 25, 2019

C3-Cloud is delighted that it has signed a collaboration agreement with the Trillium II project (https://trillium2.eu/). C3-Cloud and Trillium II participated jointly in the EUModex exercise in Romania last year and are now...

Latest Events

Drug Interaction Advisory Service for Clinical Decision Support of Multimordity Patient Centric Care Plans in the C3-Cloud System. Stud Health Technol Inform, 262 (2019)

Jul 5, 2019

Despotou G, Yuksel M, Sarigul B, Arvanitis TN. Drug Interaction Advisory Service for Clinical Decision Support of Multimordity Patient Centric Care Plans in the C3-Cloud System. Studies in Health Technology and Informatics. Volume 262, pp 388-391 (2019). Published...