Implementierung eines Echtzeit-Psychose-Risikoerkennungs- und -war-Systems basierend auf elektronischen Gesundheitsakten mit CogStack
May 15th, 2020
•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
Wir zeigen, wie ein Echtzeit-Psychose-Risikoberechnungs- und -war-System auf Basis von CogStack, einer Informationsabruf- und Extraktionsplattform für elektronische Gesundheitsdaten, bereitgestellt wird.
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