C3-Cloud: the Digital Coordinated Care Platform of the Future

C3-CloudTypically, when a patient is receiving care from GPs and Hospitals, these are normally uncoordinated and the patient is often presented with conflicting advice, or clinicians are required to assess patients without access to all of the patient's relevant history, often making care fragmented and inefficient, particularly for an ageing population who may have multiple conditions and need care from multiple specialists and stakeholders.

Healthcare has seen an explosive growth in the amount of data produced, which has led to more data driven and evidence based protocols. However, this has also presented challenges as data can become locked in silos or to particular vendors, limiting their availability for reuse, dissemination and potential to improve patient outcomes.

However, C3-Cloud (collaborative cure and care system) is a digital infrastructure offering integrated care capability for multi-morbidity management. It enables collaboration across a number of healthcare systems and settings, allowing clinicians to semi-automatically generate a holistic personalised care plan, which offers an integrated view of the patient's conditions, measurements, medication and goals.

Patients and their multi-disciplinary care team can collaboratively create, review and edit the plan, empowering the patient to make decisions about their care. The care plan personalisation process is supported by a Clinical Decision Support module, implementing over 500 rules, consolidating and reconciling multiple clinical practice guidelines of common comorbidities (for example, diabetes, heart failure, renal failure and depression). The system accommodates local organisational aspects such as roles, as well interoperability to existing systems, it is currently deployed in three pilot sites in the UK, Spain and Sweden, integrating with their health systems and supporting coordinated care.

The C3-Cloud technology is flexible enough to support other conditions, including supporting remote management generally, which can be applied to situations, such as in the current COVID-19 pandemic. The project has recently investigated plans for deployment in such pandemic scenarios.

Professor Theo Arvanitis, the C3-Cloud project co-ordinator from the Institute of Digital Healthcare at WMG, University of Warwick comments: "As the world develops and becomes more digital it is essential our healthcare system does too. With an ever growing population and life expectancies increasing it’s important to make a digital healthcare system that works for everyone and that is what the C3-Cloud does.

"Not only does the C3-Cloud work across all systems, it can recommend treatments for patients with multiple health problems, which is helpful when someone is seeing multiple care outlets such as their GP and local hospital for different care needs.

"Our first pilot has taken place, and with the European Innovation Radar identifying C3-Cloud's key components as tech, ready our next step is to expand this to large scale trials in multiple countries, this could lead to an enrolment in the system, and if there's ever a pandemic like COVID-19 again different strategies for people with different health problems could be deployed rapidly."

For further information, please visit:
https://c3-cloud.eu

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...