Digital twin technology in forensic mental health

Area of Science:

• Digital Health
• Forensic Psychiatry
• Computational Medicine

Background:

• Forensic mental health services grapple with managing violence and self-harm risks, optimizing security, and patient pathway planning for individuals with serious mental disorders.
• Traditional risk assessment tools are static, time-limited, and lack personalization, hindering effective clinical decision-making.
• Digital twin technology, creating dynamic computational replicas, presents a novel approach to enhance these services.

Purpose of the Study:

• To review emerging concepts, opportunities, and risks of digital twin technology in forensic mental health.
• To examine how digital twins can augment clinical practice while addressing ethical and legal considerations.
• To map plausible applications, technical constraints, and governance requirements for digital twins in this field.

Main Methods:

• A narrative review of recent literature on digital twins in healthcare, digital psychiatry, and forensic mental health risk management.
• Synthesis of findings from peer-reviewed journals, consensus statements, and policy documents.
• Focus on ethical frameworks and governance requirements specific to forensic mental health.

Main Results:

• Digital twins can enhance violence and self-harm risk management through continuous data updates.
• Personalized care pathways across correctional facilities, courts, and secure hospitals are feasible.
• Optimization of ward staffing, security protocols, and rights-respecting care planning is possible.
• Deployment necessitates attention to data provenance, algorithmic fairness, transparency, clinical validity, and human rights safeguards.

Conclusions:

• Digital twin technology holds significant promise for improving forensic mental health services.
• Realizing this potential requires rigorous validation, strong governance, and co-design with stakeholders.
• A staged implementation pathway with essential safeguards is identified for safe and rights-respecting deployment.