Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack Video (Video) | JoVE

DOI :

10.3791/60794-v

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7:31 min

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May 15th, 2020

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6,519 Views

Tao Wang¹, Dominic Oliver², Yamiko Msosa¹, Craig Colling³, Giulia Spada², Łukasz Roguski⁴, Amos Folarin¹, Robert Stewart^3,5, Angus Roberts^1,3, Richard J. B. Dobson^1,3,4,6, Paolo Fusar-Poli^2,3,7,8

¹Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, ²Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, ³National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust, ⁴Institute of Health Informatics, University College London, ⁵Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, ⁶Health Data Research UK London, University College London, ⁷OASIS service, South London and Maudsley National Health Service (NHS) Foundation Trust, ⁸Department of Brain and Behavioral Sciences, University of Pavia

Chapters

We demonstrate how to deploy a real-time psychosis risk calculation and alerting system based on CogStack, an information retrieval and extraction platform for electronic health records.

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