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Using real world data to inform healthcare guidelines and evaluate their implementation

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INTEGRATE is a programme of work that seeks to use real world data to provide robust evidence to inform healthcare guideline development, and to evaluate their implementation and impact.

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About INTEGRATE 2 columns
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The INTEGRATE project was funded in 2023 and aims to capitalise on real world data held in electronic health records.

INTEGRATE will use electronic health records to generate robust evidence and assess whether this can inform clinical guideline development. This will involve using state of the art causal inference methods, in particular emulated target trial methodology. INTEGRATE will also capitalise on electronic health record data to evaluate implementation of guidelines, with a focus on identifying inequalities. Alongside this quantitative work, the INTEGRATE team will also work closely with clinicians and guideline developers to understand how routinely collected data in electronic health records is used in guideline development, and to understand how guidelines are used in clinical practice.

Members of the INTEGRATE team will work closely with guideline bodies at each stage of the study lifecycle to ensure that the results are informative for use in decision making at the national level.

Who we are
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Prof Laurie Tomlinson


Professor of Clinical Epidemiology


Research Fellow
Dr Emily Herrett


Associate Professor
Giulia Seghezzo

Giulia Seghezzo

Research Assistant and Doctoral Student
Prof Ruth Keogh



Sebastian Schneeweiss

Professor / Harvard Medical School

Juan Jesus Carrero

Professor / Karolinska Institutet

Van Der Meulen

Professor of Clinical Epidemiology (HCC)

Ben Goldacre

Professor / University of Oxford

Miranda Scanlon

Expert Patient

Brian MacKenna

University of Oxford


Professor of Health Economics Methodolog
Prof John Cairns


Professor of Health Economics

Amanda Adler

Professor / University of Oxford
Prof Andrew Briggs


Professor in Health Economics
Research INTEGRATE 2 columns
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Our three main areas of research are:

Using real world data held in electronic health records to create robust evidence that will inform clinical guideline development

Working directly with national guideline bodies, we identify areas of uncertainty in healthcare that have not been, or cannot be, addressed by gold standard randomised controlled trials. Using emulated target trial methodology and real world data, we aim to produce robust evidence that can be used in guideline development. We currently use UK primary care data from the Clinical Practice Research Datalink (embed link to CPRD website) and OpenSAFELY (embed link to OpenSAFELY website) along with linked hospital and mortality data. 

How evidence from real world data informs clinical guideline development

We are undertaking a programme of qualitative work to understand how real world data shapes the development of healthcare guidelines, how guidelines shape health practices, and how well real world data represents patient care and experience.

Using routinely collected data from electronic health records to evaluate implementation and impact of clinical guidelines

We work with national guideline bodies and conduct epidemiological studies to assess how guidelines are implemented using real world data from the UK. We also examine health outcomes following guidelines implementation, identify inequalities in implementation and missed opportunities for care, and the health economic impact of these.