Health and Community Sciences

Operational Research and Data Science (PenCHORD)

The Peninsula Collaboration for Health Operational Research and Data Science (PenCHORD) brings together expertise in operational research, data science and AI to model, evaluate and improve health and care services. We work with key stakeholders to identify questions that reflect the needs of services and patients, and to develop data modelling and analytical work that informs decision making and service optimisation. We also contribute to strengthening data science, AI and modelling capability across health and care through training, collaboration and shared learning. 

Our work covers a wide range of clinical and operational areas, including stroke care, cancer services, mental health, maternity and neonatal care, renal services, neurodegenerative conditions and surgery scheduling.

Our areas of expertise include:

  • Modelling patient pathways and the impacts of proposed changes
  • Operational planning and service optimisation, including capacity and resource planning in acute and community services, waiting list management and patient scheduling, and location and capacity analysis of outpatient services
  • Population wide linked health data research, including using electronic health records, and emerging regional and national data assets
  • Artificial intelligence and advanced analytics, including machine learning, predictive modelling and natural language processing
  • Open science and reproducible research, enabling methods and tools that can be reused across organisations and regions.

The PenCHORD team leads the national Health Service Modelling Associates (HSMA) Programme. The programme teaches public sector analysts, clinicians and managers how to use data science and operational research techniques, as well as supporting them to apply these techniques within their organisations. Free places on the programme are available to people working in health, social care and policing organisations in England.

 

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Meet the team

Name Role Contact
Tom Monks Associate Professor of Health Data Science t.m.w.monks@exeter.ac.uk 
Mike Allen Senior Research Fellow in Applied Healthcare Modelling and Data Science m.allen@exeter.ac.uk 
Robert Challen Honorary Associate Research Fellow rc538@exeter.ac.uk 
Daniel Chalk Senior Research Fellow in Applied Healthcare Modelling and Analysis D.Chalk@exeter.ac.uk 
Amy Coombe PenCHORD Administrator a.l.coombe@exeter.ac.uk 
Amy Heather Postdoctoral Research Associate a.heather2@exeter.ac.uk 
Anna Laws Research Associate a.laws2@exeter.ac.uk 
Sean Manzi Research Fellow s.s.manzi@exeter.ac.uk 
Andy Mayne Honorary Associate Research Fellow a.mayne@exeter.ac.uk 
Sebastian Rabucha Honorary Associate Research Fellow rachuba@uni-wuppertal.de 
Kerry Pearn Research Fellow K.Pearn@exeter.ac.uk 
Sammi Rosser Postdoctoral Research Fellow S.J.Rosser@exeter.ac.uk 
Yinghui Wei Professor Y.Wei3@exeter.ac.uk 
Jemma Phillips Research & Communications Administrator, PenARC J.Phillips17@exeter.ac.uk 

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