Prof. Michael E. Benros is Director of the Copenhagen Research Centre for Biological and Precision Psychiatry. In their Precision Psychiatry Initiatives, they utilize the wealth of Danish Big Data resources, including nationwide registers, population-based electronic health records and large-scale genetic data - analyzed with novel methods as machine learning approaches, aiming at paving the way for more precise diagnostics and new treatment targets for mental disorders. The Danish Big Data resources provide a unique opportunity for increasing the insights into mental disorders and for developing and real-time implementation of novel digital solutions to improve the current treatments for mental disorders. This includes utilization of machine learning and AI for enhancing the precision of mental health care and for improving prevention, diagnoses and health care delivery in psychiatry. The most promising decision support tools will be tested in clinical trials paving the way for implementation to improve the current treatments in psychiatry. Clinical testing includes deployment of the most clinically relevant decision support models directly into our EPIC-based Danish Electronic Health Record system, facilitating the clinical utility of the developed models. As part of our Clinical Test Center for AI and data-driven treatments in psychiatry, we will furthermore investigate the needs and potential barriers among clinicians and patients to facilitate implementation and willingness to utilize decision support tools for assisting in optimizing our mental health care delivery.
Title: Utilizing Danish big data resources for prediction of mental disorder diagnosis and prognosis with clinical testing of algorithms to improve current treatments
Speaker: Michael Eriksen Benros, Denmark
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