Centre for Intelligent Healthcare

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    Richard Crossman Building CV1 5RW Coventry United Kingdom

    United Kingdom

Organisation profile

Organisation profile

The greatest challenge facing our global healthcare system is how to maintain the health of the population. This is particularly important given that there is an increase in the prevalence of long-term conditions. Additionally, the increasing number of people with co-morbidities due to demographic changes and lifestyle choices further emphasises the need for a transformation in our healthcare services.

This will require new approaches, new technologies and new interventions as we are all responsible for ensuring we stay healthy, active and independent for as long as possible.

The Centre for Intelligent Healthcare (CIH), through its dynamic staff, advisory boards, partner organisations and horizon scanning tools will be at the forefront of this research by improving and developing innovative healthcare technologies, AI-empowered healthcare solutions and digital self-management tools and interventions, creating wearable devices for the next generation of healthcare monitoring and management and providing the evidence for change.

Our research fits squarely within the UKRI strategic plan for a "Healthy Nation" and priority area of "Transforming Community Health and Care" and "Improving Prevention and Public Health", which calls for multi-disciplinary approaches to tackle national and global challenges in our society.

Core clusters

CIH is a multidisciplinary centre that draws on expertise from transformational wearable and Wi-Fi healthcare sensing technologies; vascular optics and microvascular sensing; intelligent physiological signal processing and healthcare data analytics; fundamental advances in AI technologies and its applications in healthcare; smart mobile health system; digital self-management, and digital health interventions.

Our four research clusters interlock to develop intelligent healthcare technologies and solutions to real world problems.

  • Healthcare Sensing Technology
  • Vascular Optics & Microvascular Sensing
  • AI in Population Health
  • Digital Health Interventions

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Collaborations and top research areas from the last five years

External collaboration on country/territory level for the past five years. Dive into details by clicking on the dots or