Clinical Safety & Responsible Use
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AyurCDS – Evidence-Based Clinical Decision Support for Ayurveda
1. Purpose of This Clinical Safety Statement
AyurCDS is designed to support clinical reasoning, learning, and documentation in Ayurveda through structured, evidence-informed decision support. This page explains how AyurCDS works, its clinical safety boundaries, evidence sources, and conflict-of-interest disclosures to ensure transparency, responsible use, and patient safety.
AyurCDS is not a medical device, not an autonomous diagnostic system, and not a replacement for a qualified Ayurvedic physician’s clinical judgment.
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2. Intended Use
AyurCDS is intended for use by:
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Qualified Ayurvedic physicians (BAMS and above)
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Ayurvedic educators and institutions
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Researchers and postgraduate students
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Clinicians involved in evidence-based or integrative practice
The system is designed to:
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Support structured clinical reasoning
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Assist in case analysis and documentation
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Enable learning through standardized clinical logic
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Promote evidence-based practice in Ayurveda
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3. What AyurCDS Does Not Do (Safety Boundaries)
For patient safety, AyurCDS explicitly does not:
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Diagnose patients autonomously
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Prescribe treatment without physician oversight
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Replace physical examination or clinical judgment
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Provide emergency or acute medical advice
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Override local laws, regulations, or professional guidelines
All clinical decisions remain the sole responsibility of the treating physician.
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4. How AyurCDS Works (Clinical Safety Model)
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4.1 Decision Support, Not Decision Making
AyurCDS functions as a Clinical Decision Support System (CDSS), meaning it:
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Organizes clinical inputs
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Maps them to structured Ayurvedic reasoning frameworks
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Presents decision pathways, not directives
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The physician:
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Reviews outputs
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Applies contextual judgment
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Accepts, modifies, or rejects recommendations
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4.2 Knowledge Representation
AyurCDS structures Ayurvedic knowledge using:
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Classical Ayurvedic concepts
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Structured clinical logic and rule-based reasoning
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Evidence references where available
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Explicit assumptions and decision steps
This ensures traceability and transparency, reducing black-box risks.
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4.3 Human-in-the-Loop Safety
All outputs are:
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Reviewed by a clinician
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Non-binding
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Intended to stimulate reasoning, not replace it
This human-in-the-loop approach is a core clinical safety principle.
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5. Evidence Sources & Knowledge Inputs
AyurCDS draws upon multiple categories of evidence:
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5.1 Classical Ayurvedic Literature
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Charaka Samhita
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Sushruta Samhita
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Ashtanga Hridaya
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Recognized Ayurvedic commentaries
These sources inform foundational clinical logic, not automatic prescriptions.
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5.2 Contemporary Evidence
Where applicable, AyurCDS references:
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Peer-reviewed clinical studies
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Observational research
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Practice-based evidence
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Systematic reviews in integrative medicine
Evidence quality, limitations, and context are considered.
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5.3 Practice-Based Clinical Reasoning
AyurCDS acknowledges that Ayurveda often relies on:
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Pattern recognition
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Contextual interpretation
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Longitudinal clinical experience
The system is designed to document and structure, not oversimplify, this complexity.
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6. Clinical Risk Mitigation Measures
To reduce potential risks, AyurCDS incorporates:
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Clear disclaimers on non-autonomous use
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No emergency or acute care workflows
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No patient-facing diagnosis or prescription features
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Physician-only interpretation of outputs
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Educational framing for case learning and review
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7. Regulatory Positioning
AyurCDS is positioned as:
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A clinical support and educational platform
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A documentation and reasoning aid
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A research and learning tool
It is not positioned as a regulated medical device and does not claim diagnostic or therapeutic autonomy.
Users are responsible for ensuring compliance with:
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Local medical regulations
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Institutional policies
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Professional standards of practice
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8. Conflict of Interest Statement
AyurCDS is an independent digital health initiative focused on advancing evidence-based practice in Ayurveda.
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No pharmaceutical, herbal, or medical product manufacturers control the system
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No sponsored treatment recommendations are embedded
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No paid clinical bias is introduced into decision pathways
Any future collaborations, funding, or partnerships that may influence content or development will be explicitly disclosed.
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9. Transparency & Accountability
AyurCDS is committed to:
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Transparency in clinical logic
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Responsible communication of evidence
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Continuous improvement through feedback
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Ethical use of digital decision support in traditional medicine
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10. Contact & Feedback
For clinical safety concerns, feedback, or clarifications:
Contact: support@ayurcds.com
