Imperial College London

Daniela Rodrigues

Faculty of MedicineDepartment of Surgery & Cancer

Research Postgraduate







Sir Alexander Fleming BuildingSouth Kensington Campus





I am a PhD candidate in Health Policy at Patient Safety Translational Research Centre, Institute of Global Health Innovation. My research project focuses on combining methods from causal inference and machine learning to evaluate the adoption and impact of the online access route to general practice on patient safety and equity of care. I am being supervised by Mr Erik Mayer, Professor the Lord Ara Darzi, Professor Mauricio Barahona and Dr Noemi Kreif.

Prior to joining Imperial, I worked as an analyst at UCLPartners (Academic Health Science Network) and as a consultant in industry, supporting the design and implementation of electronic health records in the UK, Ireland and Portugal. I hold a BSc in Biomedical Sciences from the University of Beira Interior, an MSc in Biomedical Engineering from Instituto Superior Técnico (University of Lisbon) and an MSc in Health Policy, Planning and Financing from the London School of Hygiene & Tropical Medicine and London School of Economics.



Rodrigues D, Street A, Santos MJ, et al., 2022, Using patient-reported outcome measures to evaluate care for patients with inflammatory chronic rheumatic disease, Value in Health, Vol:25, ISSN:1098-3015, Pages:1885-1893

Rodrigues D, Kreif N, Lawrence-Jones A, et al., 2022, Reflection on modern methods: constructing directed acyclic graphs (DAGs) with domain experts for health services research, International Journal of Epidemiology, Vol:51, ISSN:0300-5771

Rodrigues D, Kreif N, Saravanakumar K, et al., 2022, Formalising triage in general practice towards a more equitable, safe, and efficient allocation of resources, Bmj: British Medical Journal, Vol:377, ISSN:0959-535X

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