Dr Rashmi Patel

MRC UKRI Health Data Research UK Clinical Fellow

Contact details

Biography

Dr Rashmi Patel studied Medical Sciences at the University of Cambridge before completing his medical degree at the University of Oxford in 2008. He moved to London to train as an academic foundation doctor at North Middlesex Hospital (F1) and The Whittington Hospital (F2). He has recently undertaken a Medical Research Council (MRC) Clinical Research Training Fellowship and is now an MRC UKRI Health Data Research UK Fellow in the Department of Psychosis Studies at the Institute of Psychiatry, Psychology & Neuroscience, King's College London. He has a particular interest in the neurobiology of psychotic disorders and the role of health data research techniques such as extracting data from free text electronic health records (EHRs) using natural language processing to predict clinical outcomes and develop more effective treatment strategies. In addition to research, he is an honorary consultant psychiatrist in the Psychosis Clinical Academic Group of King's Health Partners, a pioneering Academic Health Science Centre which combines world-class clinical research and mental healthcare for people with psychotic disorders.

Research Interest

Health Data Research

Electronic Health Records

Natural Language Processing

Epidemiology

Psychotic Disorders

Research Groups

Department of Psychosis Studies

Clinical Record Interactive Search (CRIS)

Centre for Translational Informatics (CTI UK)

Expertise and Public Engagement

F11 Antipsychotic treatment patterns in patients with schizophrenia: A real-world data analysis of electronic health records
Patel, R., Griffiths, K., Martinez-Gutierrez, A., Garcia-Marin, L. & Rentería, M. E., 11 Oct 2022, In: Journal of Managed Care & Specialty Pharmacy. 28, 10-a Suppl, p. S52-S53 Research output: Contribution to journal › Meeting abstract › peer-review
3.17 The Impact of Executive Functioning Deficit on Illness Severity in Patients With an ADHD Diagnosis: A Real-World Data Study
Palmer, E. OC., Guruswamy, G., Valko, M., Griffiths, K., Patel, R. & Kollins, S. H., 1 Oct 2022, In: Journal of the American Academy of Child and Adolescent Psychiatry. 61, 10, p. S233 Research output: Contribution to journal › Meeting abstract › peer-review. DOIs: https://doi.org/10.1016/j.jaac.2022.09.296
The Management and Supervision Tool (MaST): an electronic crisis risk prediction tool to support safe and effective mental healthcare
Patel, R., Oram, J., Hebden, N., Payne, Z., Morse, M. & Gadd, C., 1 Sep 2022, In: European Psychiatry. 65, S1, p. S166-S167 Research output: Contribution to journal › Meeting abstract › peer-review. DOIs: https://doi.org/10.1192/j.eurpsy.2022.444
NeuroBlu: a natural language processing (NLP) electronic health record (EHR) data analytic tool to generate real-world evidence in mental healthcare
Patel, R., Wee, S. N., Ramaswamy, R., Thadani, S., Guruswamy, G., Garg, R., Calvanese, N., Valko, M., Rush, A. J., Rentería, M. E., Sarkar, J. & Kollins, S. H., 1 Sep 2022, In: European Psychiatry. 65, S1, p. S99-S100 Research output: Contribution to journal › Meeting abstract › peer-review. DOIs: https://doi.org/10.1192/j.eurpsy.2022.286
EPH164 Illness Severity Associated with Comorbid Substance Use Disorders in Schizophrenia: An Electronic Health Record Study
Patel, R., Chan, K. MY., Valko, M., Guruswamy, G., Ker, S., Batra, G., Kollins, S. H. & Rentería, M. E., 25 Jun 2022, In: Value in Health. 25, 7, p. S465 Research output: Contribution to journal › Meeting abstract › peer-review. DOIs: https://doi.org//10.1016/j.jval.2022.04.915
Derivation and Validation of the Management and Supervision Tool (MaST) Risk of Crisis (RoC) Algorithm Using Electronic Health Record (EHR) Data
Patel, R., Oram, J., Hebden, N., Payne, Z., Morse, M. & Gadd, C., 20 Jun 2022, In: British Journal of Psychiatry Open . 8, S1, p. S65 Research output: Contribution to journal › Meeting abstract › peer-review. DOIs: https://doi.org/10.1192/bjo.2022.229
POSA402 Impact of Comorbid Cannabis Use Disorders in Schizophrenia: An Electronic Health Record Real World Data Study
Patel, R., Valko, M., Kollins, S. H. & Rentería, M. E., 1 Jan 2022, In: Value in Health. 25, 1, p. S251 Research output: Contribution to journal › Meeting abstract › peer-review. DOIs: https://doi.org/10.1016/j.jval.2021.11.1228
Psychiatric healthcare resource utilization following initiation of aripiprazole once-monthly: a retrospective real-world study
Walters, H., Touya, M., Wee, S. N., Ng, M., Thadani, S., Surendran, S., Rentería, M. E., Rush, A. J., Patel, R., Sarkar, J., Fitzgerald, H. M. & Han, X., 15 Nov 2022, In: Current Medical Research and Opinion. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1080/03007995.2022.2148461
Ethnic inequalities in involuntary admission under the Mental Health Act: an exploration of mediation effects of clinical care prior to the first admission
Fonseca de Freitas, D., Walker, S., Nyikavaranda, P., Downs, J., Patel, R., Khondoker, M., Bhui, K. & Hayes, R., 2022, In: British Journal of Psychiatry. Research output: Contribution to journal › Article › peer-review
Natural language processing: unlocking the potential of electronic health record data to support transdiagnostic psychiatric research
Patel, R., Wickersham, M., Cardinal, R. N., Fusar-Poli, P. & Correll, C. U., 9 Sep 2022, (E-pub ahead of print) In: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. Research output: Contribution to journal › Comment/debate › peer-review. DOIs: https://doi.org/10.1016/j.bpsc.2022.09.002

View all publications

Dr Rashmi Patel

Contact details

Biography

Teaching

Description

Latest publications

F11 Antipsychotic treatment patterns in patients with schizophrenia: A real-world data analysis of electronic health records

3.17 The Impact of Executive Functioning Deficit on Illness Severity in Patients With an ADHD Diagnosis: A Real-World Data Study

The Management and Supervision Tool (MaST): an electronic crisis risk prediction tool to support safe and effective mental healthcare

NeuroBlu: a natural language processing (NLP) electronic health record (EHR) data analytic tool to generate real-world evidence in mental healthcare

EPH164 Illness Severity Associated with Comorbid Substance Use Disorders in Schizophrenia: An Electronic Health Record Study

Derivation and Validation of the Management and Supervision Tool (MaST) Risk of Crisis (RoC) Algorithm Using Electronic Health Record (EHR) Data

POSA402 Impact of Comorbid Cannabis Use Disorders in Schizophrenia: An Electronic Health Record Real World Data Study

Psychiatric healthcare resource utilization following initiation of aripiprazole once-monthly: a retrospective real-world study

Ethnic inequalities in involuntary admission under the Mental Health Act: an exploration of mediation effects of clinical care prior to the first admission

Natural language processing: unlocking the potential of electronic health record data to support transdiagnostic psychiatric research

COVID-19 pandemic leads to rapid uptake of remote consultations in mental healthcare

Study at King’s

Information for

Facilities

Discover King’s

Contact us