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    Healthcare IT

    Organizational Excellence

    G13 - Identifying Symptom Domains of Schizophrenia Using Natural Language Processing

    Tuesday, May 6, 2025
    11:15 AM – 12:15 PM ET
    Location: 104AB
    NASW CCB ACCME ANCC NY-SW NY-MHC NADAAC NBCC
    This session will explore how artificial intelligence (AI), specifically natural language processing (NLP), can help mental health providers identify and track cognitive impairments and negative symptoms in schizophrenia, which are often missed in clinical practice. Attendees will gain practical insights into how AI can improve patient care and outcomes by uncovering hidden symptoms. The session aims to equip providers with tools to enhance early detection and intervention in schizophrenia care.

    Learning Objectives:

    • Identify how natural language processing (NLP) can be used to detect cognitive impairments and negative symptoms in patients with schizophrenia using electronic health records (EHRs).
    • Explore the potential benefits of integrating artificial intelligence (AI) tools in mental health practice to improve early detection and intervention for schizophrenia.
    • Discuss the impact of cognitive impairments and negative symptoms on patient outcomes and healthcare systems, and how AI-driven approaches can address these challenges.