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CMHESI

Institutional Mental Health Systems & Architecture

The CMHESI Institutional Mental Health Systems & Architecture (IMHSA–SYSTEM) is a secure, scalable web-based platform transforming institutional wellbeing into productivity, leadership performance, resilience and sustainable socio-economic growth.

25+

YEARS OF EXPERIENCE





About Us

What is IMHSA–SYSTEM?

The IMHSA–SYSTEM is a web-based institutional platform designed to assess, measure, and strengthen mental health systems within organizations.

It supports Zambia’s Vision 2030, the Mental Health Act (2019), SDGs 3, 8, and 16, and CMHESI’s 2030 Growth Strategy by enabling:

We’re Putting Your Comfort List


  • Institutional assessments

  • Decision intelligence

  • Intervention management

  • Analytics & reporting

  • Certification & sustainability


More About Us

0971704500

OUR BEST SERVICES

OUR CORE SYSTEM MODULES

We measure institutional mental health readiness and resilience through:

 

Multi-Domain Institutional Assessment Tools

Multi-domain assessment tools

Our system evaluates institutions across multiple critical domains including leadership, culture, workload, governance, HR systems and sustainability. This ensures a holistic understanding of institutional mental health  not just isolated indicators.

 

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Culturally Contextualized

Culturally Contextualized & Multilingual Instruments

Assessment tools are adapted to Zambia’s socio-cultural context and can be deployed in multiple languages. This ensures relevance, inclusivity, and accurate data capture across diverse institutions.

 

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Baseline & Follow-Up Assessments

Baseline & Follow-Up Assessments

The platform enables institutions to establish baseline measurements and track progress over time, allowing measurable improvement and long-term monitoring.

 

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Scoring Index

Scoring & Institutional Index Engine

The system generates a composite Institutional Mental Health Index score ranging from 0 to 100, providing a clear and standardized performance benchmark.

Risk Categorization

Institutions are classified into four risk categories:

 

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