Could Digital Twins Forecast Forensic Risk?

By
Kathryn Wighton
May 18, 2026

Conexiant

Objective:

To explore the potential applications and implications of digital twins in forensic mental health risk management and their broader impact on patient care.

Key Findings:

Digital twins could support short-term violence risk assessment and treatment scenario modeling.
Current risk assessment tools are limited by point-in-time evaluations, variable predictive validity, and reduced relevance over time, impacting their effectiveness.

Interpretation:

While digital twins hold promise for enhancing risk assessment and management in forensic settings, their application remains largely theoretical, unvalidated, and ethically complex.

Limitations:

Absence of systematic search and meta-analytic methods.
Lack of formal quality assessment of included studies.
Rapidly changing technology and regulation may outpace findings, complicating the implementation of digital twins.

Conclusion:

Current evidence does not support widespread deployment of digital twins in forensic mental health; caution is advised regarding ethical implications, potential biases, and the need for rigorous oversight.

Could Digital Twins Forecast Forensic Risk?

Objective:

Key Findings:

Interpretation:

Limitations:

Conclusion:

Original Source(s)

Could Digital Twins Forecast Forensic Risk?

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