Health e-Research Centre

Linking data and technology for patient and public benefit

HeRC's Research and Development Team

HeRC’s Research and Development Team

The Health eResearch Centre (HeRC) is a partnership between four universities, the NHS and a network of industry partners. Working together they form a powerhouse of health data science operating across the North of England and are a founding member of the UK-wide Farr Institute.

Using a combination of public health information and technology HeRC delivers over 25 multidisciplinary research projects that are at the forefront of a new science, the science of Health Informatics.

Along with developing the methods to deliver world-leading research, HeRC is helping to build a pipeline of talent for this emerging sector by training the next generation of Health Data Scientists.

We work with and consult the public about the work we do at the Health eResearch Centre.

Aims

  • Advance methodology to harness linked health data for research and innovation.
  • Drive programmes of cutting edge research using this methodology to support healthcare, academia, industry and participating citizens.
  • Build capacity in the underpinning health informatics scholarship and professional development across Northern England.

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HeRC will integrate its aims by creating a virtuous circle between health science and service through informatics scholarship and practice.

The Centre, led by Professor Iain Buchan, will produce new computer-based methods and tools, and apply them to five areas of innovation:

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  • CoOP: Helping patients to monitor their own health in daily life using mobile technologies such as smartphones, integrated with NHS care.
  • MOD: Helping the NHS to examine complex flows of patients in order to spot missed opportunities for earlier or better targeted care.
  • SEA-3: Giving researchers more powerful tools for identifying sub-groups of people who have different patterns of health that might illuminate new targets for treatment or prevention.
  • DOT: Enabling different research teams to collaborate across different organisations to produce more powerful and timely analyses of anonymised healthcare records.
  • FIN: Making clinical trial plans more planned, more efficiently run and more relevant to patients.