Reducing Low-Value Mental Health Care Through Digital Twin Intelligence

Mential applies Digital Twin analytics to identify low-value mental health interventions, unnecessary follow-ups and ineffective care pathways. Continuous data allows health systems to understand what works, for whom, and when.

Example activities include:

• Mapping treatment pathways and outcomes using longitudinal markers.

• Identifying over-treatment or under-treatment patterns.

• Supporting evidence-based redesign of care models.

• Quantifying cost and outcome improvements for payers and providers.

Mential is different because it analyses actual behavioural evolution, not only service utilisation. This enables precise identification of low-value care based on outcomes, not assumptions or averages.