Implementatie van een real-time psychose risicodetectie en waarschuwingssysteem op basis van elektronische medische dossiers met behulp van CogStack
8.6K weergaven
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Geciteerd door 34
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07:31 min.
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15 mei 2020
DOI :10.3791/60794-v
15 mei 2020
•8.6K weergaven
Tao Wang1 , Dominic Oliver2 , Yamiko Msosa1 , Craig Colling3 , Giulia Spada2 , Łukasz Roguski4 , Amos Folarin1 , Robert Stewart3,5 , Angus Roberts1,3 , Richard J. B. Dobson1,3,4,6 , Paolo Fusar-Poli2,3,7,8
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
We laten zien hoe je een real-time psychoserisicoberekening en waarschuwingssysteem implementeert op basis van CogStack, een informatie-ophaal- en extractieplatform voor elektronische medische dossiers.
Chapters in this video
0:04
Introduction
1:58
Data Ingestion
3:18
Risk Calculation
4:12
Data Visualization
4:44
Risk Alerting
5:24
Results: Representative Risk Result Validation, Visualization, and Alerting
6:26
Conclusion
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