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Related Concept Videos

Drug Therapy01:28

Drug Therapy

The advent of drug therapy has profoundly shaped modern mental health care, providing targeted treatments for a range of psychological disorders. Psychotherapeutic drugs, classified into antianxiety, antidepressant, and antipsychotic medications, address symptoms across anxiety disorders, mood disorders, and schizophrenia. While these medications have transformed patient outcomes, they require careful management due to their potential side effects and limitations.
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The genetic basis of schizophrenia is strongly supported by family and twin studies.

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Related Experiment Video

Updated: May 14, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

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Published on: May 15, 2020

Generating personalized advice for schizophrenia patients.

Ando Emerencia1, Lian van der Krieke, Sjoerd Sytema

  • 1University of Groningen, Nijenborgh 9, 9747 AG Groningen, The Netherlands. a.c.emerencia@rug.nl

Artificial Intelligence in Medicine
|February 20, 2013
PubMed
Summary

Automated interpretation of patient assessment data for schizophrenia is possible and helpful. The Wegweis platform empowers patients by providing relevant, clinician-aligned insights, enhancing patient-centered care.

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Area of Science:

  • Psychiatric healthcare informatics
  • Clinical decision support systems
  • Patient engagement technologies

Background:

  • Routine patient assessments in psychiatric care primarily support clinicians.
  • Data from these assessments are often not easily accessible or understandable for patients.
  • This limits patient involvement and empowerment in their own care.

Purpose of the Study:

  • To develop and evaluate Wegweis, a web-based platform for automated interpretation of patient assessment results for schizophrenia.
  • To make assessment data accessible and understandable to patients, fostering empowerment.
  • To provide a clinician-aligned second perspective on patient data.

Main Methods:

  • Developed an ontology-based approach to interpret routine assessment results for schizophrenia patients.
  • Ranked information by the severity of associated schizophrenia-related problems.
  • Used an ontology to link problems to advice, enabling inference for unmatched issues.
  • Implemented Wegweis as a proof-of-concept platform.

Main Results:

  • The system's problem identification aligned with clinician opinions 94% for the top three and 72% overall (MANSA questionnaires).
  • Patients found 67% of the top three advice topics and approximately 50% of overall advice relevant.
  • A validated problem ontology was created to interpret multiple schizophrenia-specific questionnaires.

Conclusions:

  • Automated interpretation of assessment results, prioritizing by problem severity, closely mirrors clinician reasoning.
  • A majority of system-selected advice is deemed relevant by patients after applying a severity threshold.
  • This approach facilitates patient-centered care by automating assessment result sharing.