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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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May 15, 2020
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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
Summary
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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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Wang, T., Oliver, D., Msosa, Y., Colling, C., Spada, G., Roguski, Ł., Folarin, A., Stewart, R., Roberts, A., Dobson, R. J. B., Fusar-Poli, P. Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack. J. Vis. Exp. (159), e60794, doi:10.3791/60794 (2020).
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