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Our programmes

CHIL aims to build a sustainable critical mass of research and innovation that tackles global health challenges and drives positive change for the people of the Liverpool City Region. Our approach cross-fertilises existing funded programmes and develops new initiatives that target key science and technology gaps health systems need to fill in order to innovate.

  • MRIC is a key demonstrator site for the UK’ Mental Health Mission that is building new capacity for research in the UK’s largest mental health and community services NHS Trust, Mersey Care, and developing new UK capability in digital mental health embedded in health system wide dataflows. 

  • CDC is the UK’s first civic cooperative of data rightsholders, controllers and innovators, working together to mobilise data securely into trustworthy AIs that improve health, social wellbeing and inclusive economic growth.

  • A population health management system of programmable prevention, precision and payment (System-P) fed by the Combined Intelligence for Population Health Action (CIPHA) infrastructure that links analytics with care workflows, and feeding research via the Northwest NHS Subnational Secure Data Environment (SDE) and its allied Data-Action Accelerator initiative including training in data science and digital innovation.

  • The CHI-Zone is a programme funded by the Liverpool City Region Life Sciences Innovation Zone. Our mission is to drive transformative innovation in health and care by connecting forward-thinking HealthTech developers with world-class expertise and opportunities.

  • Research into Artificial Intelligence (AI) to help optimise prescriptions for patients with multiple long-term conditions on multiple medicines, avoiding medication harms and improving outcomes including quality of life. 

  • The Data Action Accelerator is a regional collaboration driving faster, deeper, and more impactful digital health innovation across the North West. Funded by the Office for Life Sciences, we work with the NHS, academia, and industry to turn advanced health data science into actionable insights that improve care, reduce inequalities, and strengthen local health economies.

  • The C-GULL study aims to understand how inequalities affect health from early life, involving 10,000 first born babies with biological samples from the individual, their mother and partner, plus study of their ‘digital twin’s journey’ with data linked from multiple public service contacts and research measurements.

  • A real-world evidence study of vaccine uptake and outcomes in partnership with sponsor Seqirus.

  • CHIL provides CAMO-Net with a UK data science and real-world digital innovation site for its multidisciplinary global collaboration working to address the impact of antimicrobial resistance on human health. AMR-X is building and testing components of an antimicrobial learning system in Cheshire and Merseyside.

  • The NIHR Applied Research Collaboration (ARC) NWC, part of the National Institute for Health and Care Research (NIHR) and hosted by NHS Cheshire and Merseyside ICB in partnership with the University of Liverpool, is committed to applied health and care research.

  • An action-research network providing public health research support for front-line public health teams to answer questions with CHIL’s data science support.

  • Data science, digital and civic innovation support to the HPRU EZI, including intelligence frameworks for pandemic testing building on the mass-testing work of CHIL’s team in COVID-19.

  • Learning system informatics approaches from the CHIL team applied to continuous improvement of atrial fibrillation care, including new clinical prediction methods leveraging machine learning techniques.

  • Building capacity to study the wider determinants of health with and for Liverpool city residents, including state-of-the art civic data science and governance.

  • The PreCAP programme, with national data and stakeholder engagement, aims to establish evidence and recommendations for improved cardiovascular disease prevention and management in individuals prescribed antipsychotic medications.