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

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...