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Related Experiment Video

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Using algorithms to initiate needs-based interventions for people on antipsychotic medication: implementation

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AI² (Artificial Intelligence squared) uses machine learning to monitor antipsychotic medication adherence in serious mental illness. This system alerts patients and clinicians to missed medications or health checks, enabling timely interventions to prevent relapse.

Keywords:
BMJ Health Informaticshealthcaremedical informaticspatient carerecord systems

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Area of Science:

  • Digital Health
  • Artificial Intelligence in Healthcare
  • Mental Health Technology

Background:

  • Non-adherence to antipsychotic medications is a significant issue for individuals with serious mental illness, leading to increased relapse and hospitalization rates.
  • Real-time monitoring of medication adherence can facilitate early intervention strategies.
  • AI² is a novel system designed to address these challenges by leveraging machine learning on Medicare data.

Purpose of the Study:

  • To introduce and describe two intervention models utilizing the AI² system for monitoring antipsychotic medication adherence.
  • To detail the implementation protocols and planned mixed-methods evaluation for the AI² system.
  • To inform future randomized controlled trials and improve the AI² application for clinical practice.

Main Methods:

  • AI² employs machine learning on Medicare prescription and benefits data to detect non-adherence or missed health checks.
  • Two intervention models are proposed: a personal nudging system delivering text message alerts to patients and a clinical decision support tool presenting alerts on a dashboard for mental health professionals.
  • A mixed-methods evaluation is planned to assess pragmatic issues for larger trials.

Main Results:

  • The study outlines the design and planned evaluation of the AI² system and its intervention models.
  • The AI² system is designed to generate alerts for unsupervised discontinuation of antipsychotic medications or missed routine health checks.
  • Implementation protocols and evaluation plans are detailed to guide future research and application.

Conclusions:

  • The AI² system offers a dual approach as a personal nudging system and clinical decision support tool for improving medication adherence in serious mental illness.
  • The planned evaluation will provide crucial insights for refining the AI² system and informing larger-scale randomized controlled trials.
  • Dissemination of this trial protocol aims to guide the integration of AI² into daily personal and clinical practices for enhanced patient care.