PGx CDS

AIIMS, Bhopal

About this app

PGx Clinical Decision Support Application

The PGx Clinical Decision Support (CDS) application is designed to assist healthcare professionals in incorporating pharmacogenomic (PGx) insights into clinical decision-making.

The application enables clinicians to access gene–drug interaction information and receive evidence-based advisory outputs to support safer and more informed prescribing practices.

Key Features
Drug-Based PGx Guidance

Search for medications and view associated pharmacogenomic classifications, including recommendations for testing, actionable insights, and informational guidance.

Genotype-Aware Recommendations

For patients with available genetic test results, the application provides tailored advisory outputs based on genotype-specific interpretations.

Alternative Therapy Suggestions

Where applicable, alternative medications may be suggested based on pharmacogenomic considerations to support treatment optimization.

Evidence-Based Insights

All advisory outputs are aligned with established pharmacogenomic knowledge sources, including CPIC and PharmGKB references.

Structured Clinical Information

Information is presented in a clear and structured format, including:

PGx classification levels
Summary recommendations
Supporting clinical context
Intended Use

This application is intended for use by qualified healthcare professionals as a clinical decision support tool.

It is designed to support, not replace, clinical judgment and institutional treatment protocols.

Important Disclaimer

The PGx CDS application provides advisory outputs based on curated pharmacogenomic data. Final clinical decisions, including drug selection and dosing, remain the responsibility of the treating clinician.

Data & Privacy

The application is designed to operate with minimal patient-identifiable data. Data handling practices are aligned with applicable healthcare data protection standards and institutional policies.

Deployment Context

This application is developed for controlled clinical environments and is suitable for pilot deployment within hospital settings under appropriate supervision