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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
JoVE Journal
Behavior
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JoVE Journal Behavior
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

DOI:
10.3791/60794-v

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07:31 min

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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

Chapters

  • 00:04Introduction
  • 01:58Data Ingestion
  • 03:18Risk Calculation
  • 04:12Data Visualization
  • 04:44Risk Alerting
  • 05:24Results: Representative Risk Result Validation, Visualization, and Alerting
  • 06:26Conclusion

Summary

Automatic Translation

Automatic Translation

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.

Tags

Keywords: Real-time Psychosis Risk DetectionElectronic Health RecordsCogStackPsychosis PreventionPrecision MedicineRisk PredictionPsychiatric CareClinical Implementation

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