Imperial College London


Faculty of MedicineInstitute of Global Health Innovation

Honorary Research Fellow



j.symons Website




Queen Elizabeth and Queen Mary HospitalSt Mary's Campus





Mr Symons was recruited by Professor the Lord Ara Darzi in 2010 as an Honorary Research Fellow. He currently leads and lectures on behalf of the Big Data & Analytical Unit (BDAU), which provides consultancy on data visualisation, data acquisition, data evaluation, product design and evaluation, service architecture, and clinical data research.

In May of 2015, he joined full time to run the BDAU. Since this time the unit has added over 100 researchers from 3 faculties. In addition, Mr Symons started the Healthcare Data Working Group (HDWG) aimed at improving utilisation and dissemination of healthcare data and research.

Mr Symons has nearly 2 decades of experience in application design and deployment. For more information on his qualifications please see his LinkedIn profile.



Khanbhai M, Symons J, Flott K, et al., 2022, Enriching the value of patient experience feedback: interactive dashboard development using co-design and heuristic evaluation, Jmir Human Factors, Vol:9, ISSN:2292-9495, Pages:1-14

Khanbhai M, Warren L, Symons J, et al., 2022, Using natural language processing to understand, facilitate and maintain continuity in patient experience across transitions of care, International Journal of Medical Informatics, Vol:157, ISSN:1386-5056, Pages:1-7

Zhang J, Symons J, Agapow P, et al., 2022, Best practices in the real-world data life cycle., Plos Digit Health, Vol:1

Philpott-Morgan S, Thakrar DB, Symons J, et al., 2021, Characterising the nationwide burden and predictors of unkept outpatient appointments in the National Health Service in England: A cohort study using a machine learning approach, Plos Medicine, Vol:18, ISSN:1549-1277

Khanbhai M, Anyadi P, Symons J, et al., 2021, Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review, Bmj Health & Care Informatics, Vol:28, ISSN:2632-1009

More Publications