Silent Symposium 2: Using NLP-enriched electronic health records to evaluate and inform clinical guidelines: A case study in treatment-resistant schizophrenia

Silent Symposium 2: Using NLP-enriched electronic health records to evaluate and inform clinical guidelines: A case study in treatment-resistant schizophrenia

Silent Theatre - Hall 2
Silent Symposium

Information

Despite its unmatched efficacy, clozapine remains vastly underused for treatment-resistant schizophrenia. What if we could harness real-world clinical data and AI to change that? This symposium explores how natural language processing (NLP), a subfield of AI, unlocks insights from electronic health records, revealing prescribing patterns, barriers to clozapine use, and opportunities to improve care. Join us to explore how NLP data structuring has the potential to reshape schizophrenia treatment, wider psychiatric services —and the future of clinical guidelines.


Speakers:

Dr Benjamin Fell, Akrivia Health

Dr Will Pettersson-Yeo, Akrivia Health

Shaun Rowark, NICE

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