For our next talk, in the Digital Phenotyping seminar series, we will hear from Dr Rashmi Patel, Clinical Assistant Professor in Real-World Data Analytics, Department of Psychiatry, University of Cambridge, on Wednesday 12 February, 2:00 pm – 3:00 pm, at the Big Data Institute (BDI).
Title: Characterising mental disorder phenotype and outcomes using electronic health record data
Date: Wednesday 12 February 2025
Time: 2:00 pm – 3:00 pm
Venue: BDI/OxPop, Seminar Room 0; followed by refreshments in the atrium
Abstract
In this talk I will describe how electronic health record (EHR) data can be analysed to provide novel insights into the clinical outcomes of people with mental disorders and how the analysis of unstructured, free text clinical assessments using natural language processing (NLP) enables the ascertainment and analysis of rich clinical data that cannot be obtained from structured datasets.
Biography
Dr Rashmi Patel is Clinical Assistant Professor and National Institute for Health Research (NIHR) Advanced Fellow in Real-World Data Analytics at the Department of Psychiatry, University of Cambridge, and Visiting Senior Clinical Lecturer in Psychosis Studies at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London (KCL), UK.
He studied Medical Sciences at the University of Cambridge before completing his medical degree at the University of Oxford. He completed an academic clinical fellowship and in Psychiatry at the Warneford Hospital and University of Oxford, where he undertook training in Medical Statistics and Epidemiology at the Oxford Centre for Evidence Based Medicine.
He was awarded a UK Medical Research Council (MRC) Clinical Research Training Fellowship (2013) and Health Data Research (HDR) UK Fellowship (2018) to undertake a PhD and postdoctoral research in mental healthcare data analytics supervised by Professor Philip McGuire (Head, Department of Psychosis Studies) at the IoPPN, KCL. During his PhD, he applied natural language processing techniques to investigate clinical outcomes in people with mental disorders (major depressive disorder, anxiety disorders, bipolar disorder, personality disorders and schizophrenia) using de-identified electronic health record (EHR) data. He has applied these techniques in academic and industry-funded studies to better understand the associations of clinical presentation and pharmaceutical treatments with mental disorder outcomes.
As part of his clinical and research career he has collaborated with medical researchers, data scientists, digital healthcare technology companies and pharmaceutical companies in London, Oxford, Cambridge, Taipei, Singapore and the US (as a Fulbright Scholar at Harvard Medical School). He has over 170 abstracts and journal publications (scholar.google.com/citations?user=oKJWhlEAAAAJ&hl=en) on mental healthcare data analytics and has presented at the European Psychiatric Association (EPA), American Psychiatric Association (APA), PsychCongress, Schizophrenia International Research Society (SIRS), International Society for Pharmacoeconomics and Outcomes Research (ISPOR and ISPOR Europe), Academy of Managed Care Pharmacy (AMCP), European College of Neuropsychopharmacology (ECNP) and American Society of Clinical Psychopharmacology (ASCP).
Hybrid Option:
Please note that these meetings are closed meetings and only open to members of the University of Oxford. Please respect our speakers and do not share the link with anyone outside of the University. The purpose of these seminars is to foster more communication among employees throughout the University, so we strongly advise in-person attendance whenever feasible.
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