Overview
At Neftaly, we are committed to advancing healthcare through innovation—responsibly and ethically. As artificial intelligence (AI) becomes increasingly integrated into clinical decision-making, ensuring transparency in how these tools are developed, deployed, and used is essential for building trust, accountability, and safety in patient care.
Transparency is not just a technical or regulatory requirement—it is a cornerstone of ethical AI in healthcare.
Why Transparency Matters in Clinical AI
Clinical AI tools—used for diagnostics, risk prediction, treatment recommendations, and patient monitoring—must be trustworthy and understandable to both clinicians and patients. Lack of transparency can lead to:
- Diagnostic errors
- Bias and inequity in treatment
- Loss of professional autonomy
- Patient mistrust
- Regulatory and legal risk
Transparency empowers healthcare providers to make informed decisions, understand how AI influences their recommendations, and uphold their professional responsibility to patients.
Neftaly’s Principles of Transparent Clinical AI
1. Explainability
AI outputs should be accompanied by clear, context-appropriate explanations of how decisions are made.
- Provide insights into key data features used by the model
- Use visual aids or natural language explanations for non-technical users
- Ensure explainability even in complex “black box” systems using model-agnostic techniques
2. Documentation and Traceability
Every AI tool used in clinical settings must have full documentation outlining:
- Data sources and data governance
- Model development and validation processes
- Bias mitigation strategies
- Known limitations and appropriate use cases
This ensures accountability across the entire AI lifecycle.
3. Clinician Empowerment
AI tools should support—not replace—clinical judgment.
- Offer interpretable outputs and confidence scores
- Allow users to question or override AI recommendations
- Provide training for clinicians on how the AI works and when to rely on it
4. Patient Communication
Patients have a right to know when AI is involved in their care.
- Disclose the use of AI in diagnostics or treatment planning
- Explain how AI contributes to decisions in accessible language
- Offer patients the option to ask questions or opt out where appropriate
5. Ethical and Regulatory Compliance
Neftaly aligns with international AI ethics and healthcare standards, including:
- WHO Guidance on Ethics & Governance of AI for Health
- GDPR, HIPAA, and other data privacy laws
- National health authority approvals and audits
- Medical device regulatory frameworks for software (e.g., FDA, MDR, SAHPRA)
Our Implementation Strategy
- AI Governance Framework
- Internal review boards to evaluate AI tools for fairness, safety, and transparency
- Ethical AI checklists for product development and procurement
- Model Cards & Fact Sheets
- Standardized documentation accompanying every AI tool
- Summarizes intended use, limitations, data sources, performance, and interpretability
- Bias and Fairness Audits
- Regular assessments to detect and mitigate disparities in AI outcomes across populations
- User-Centered Design
- Co-design with clinicians and patients to ensure usability and trust
- Usability testing to validate understanding of AI outputs
- Open Collaboration
- Participation in multi-stakeholder initiatives to improve AI transparency globally
- Sharing non-sensitive AI insights and practices with the wider healthcare community
Real-World Example: Transparent AI in Action
Neftaly Diagnostic Assist™, an AI-enabled diagnostic support tool used in primary care settings:
- Clearly displays top 3 diagnostic predictions with associated probabilities
- Explains contributing factors (e.g., symptoms, vitals, medical history)
- Includes “Why this recommendation?” section for clinicians and patients
- Documented in a publicly available model card
- Undergoes continuous validation across diverse populations
Conclusion
At Neftaly, we believe that AI in healthcare must be transparent, ethical, and patient-centered. By embedding transparency into every stage of clinical AI tool development and deployment, we ensure that these powerful technologies enhance—not compromise—quality care, clinical trust, and human dignity.
Transparency is not an option. It is our responsibility.