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Dr Arturo Gonzalez-Izquierdo
Dr Arturo Gonzalez-Izquierdo profile picture
  • Research Associate
  • Clinical Epidemiology
  • Institute of Health Informatics
  • Faculty of Pop Health Sciences
I have a background in applied statistics, focussing in the use of statistical methods for data analysis in medicine. During my postgraduate studies at Imperial College London, my research focused in the use of data generated during the delivery of healthcare to determine epidemiological associations in the aetiology of disease. My doctoral research approached the risk prediction for admission to hospital from a longitudinal perspective taking into account factors from early life, measured longitudinally across childhood and adolescence and using data from a large ongoing cohort study, the 1966 Northern Finland Birth Cohort linked to national administrative hospital data. During my post-doctoral research at the UCL Institute of Child Health, I gained further experience in epidemiological studies using routinely collected health data, particularly in the extraction and curation of data from electronic health records for longitudinal epidemiology and data analysis for population-based, institutional and international comparisons of patient classification. During this time I had access to country-wide, patient-level datasets from a wide range of data providers and varying range of geographical coverage, from countries such as the US, Australia, England, Scotland and Wales. I had access to detailed episodic data such as the Hospital Episode Statistics (HES, England), the Kid's Impatient Database (HCUP KID, USA), The Scottish Morbidity Records (SMR01, NHS Scotland), the Hospital Morbidity Data System (HDMS, Western Australia) and the Patient Episode Database for Wales (PEDW, Wales). This was a great opportunity to further my knowledge on data security, confidentiality requirements and information governance necessary to accessing data; as well as the inclusion of these aspects in the statistical methods and informatics for valid epidemiological research. Given my constant contact with the use of very large health related datasets and a variety of computational software for their management and statistical analysis, I transitioned into the area of Clinical Data Science to explore different approaches that combine statistical thinking, epidemiology and computer science.
Research Themes
Research Summary
I work as an Electronic Health Records researcher  at the Farr Institute London using health data at a national level, linked across different sources within the healthcare system, to identify patient sub-populations and their multiple component phenotypes for the study of diseases and and their potential risk factors. My current research activity is centred in optimal use of research data generated from EHR's in terms of determining the minimum set of data domains needed to better characterise the patient's healthcare pathway that integrates the clinical context as well as the process of healthcare provision. I currently lead the work within one of the most significant research platforms in the Institute of Health informatics (CALIBER) on methods for patient classification and cohort extraction using linked electronic records from primary care, secondary care, disease registries and mortality data. This implies using data from providers such as the NIHR Clinical Practice Research Datalink, NHS Digital, Public Health England and the Office for National Statistics. I have had the opportunity to collaborate with a large number of research multidisciplinary groups within a diverse clinical context such as child health (in particular young patients with clinical presentations due to adverse events), cardiovascular disease (hypertrophic cardiomyopathy, congenital heart disease, stroke, myocardial infarction, chest pain, etc), neurological disorders (epilepsy, down syndrome, dementia) and most recently cancer (head and neck, pancreatico-biliary, breast, colon, prostate and skin cancers). I am involved in these studies in all phase and at different levels of participation: from the study design phase, data extraction, data analysis and interpretation.
AUG-2018 Senior Research Associate Institute of Health Informatics University College London, United Kingdom
MAR-2014 – JUL-2018 Data Scientist Farr Institute of Health Informatics Research University College London, United Kingdom
AUG-2008 – FEB-2014 Research Associate Department of Paediatric Epidemiology and Biostatistics UCL Institute of Child Health, United Kingdom
Academic Background
2008   Doctor of Philosophy Imperial College of Science, Technology and Medicine
2003   Master of Science Imperial College of Science, Technology and Medicine
1998   Specialist Universidad Veracruzana
1995   Bachelor of Science Universidad Veracruzana
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