Editorial & Content Standards

Our Commitment to Accuracy

RapidNoteMD generates clinical documentation used by emergency physicians in patient care. We hold our AI-generated output to the highest standards of accuracy, completeness, and clinical integrity.

This page describes how our documentation system works, how we verify its output, and the safeguards we maintain to protect patient safety.

1. How Clinical Documentation is Generated

RapidNoteMD uses a proprietary 3-stage AI architecture called PRISM (Parse, Reason, Integrate, Structure, Monitor) to generate clinical notes. Unlike single-pass AI systems, PRISM processes patient encounter data in stages that mirror how emergency physicians actually think:

• Stage 1 — Initial Evaluation: Demographics, chief complaint, HPI, vitals, physical exam, labs, and imaging are processed to generate an initial differential diagnosis.
• Stage 2 — Diagnostic Refinement: Additional findings refine the differential with updated clinical reasoning.
• Stage 3 — Disposition & Management: Final exam findings and medications produce the disposition decision and management plan.

Each stage generates independently, preventing accumulated context drift and reducing hallucination risk. The AI only documents information that was explicitly provided for that stage.

2. Physician Review Requirement

RapidNoteMD is a documentation assistant, not a diagnostic system. All AI-generated content must be reviewed and approved by the treating physician before being entered into any medical record.

The physician is responsible for:

• Reviewing all generated documentation for accuracy and completeness
• Verifying that documented findings match the actual patient encounter
• Correcting any inaccuracies before finalizing the note
• Making all clinical decisions independently of the AI output

No AI-generated note should be used as the sole basis for clinical decision-making.

3. AI Safety & Hallucination Prevention

RapidNoteMD has been validated with 10,000 adversarial safety tests achieving a 100% pass rate with zero hallucinations. Statistical confidence: 95% CI [99.96%, 100.00%] for hallucination-free operation.

Our safety architecture includes:

• Zero hallucination tolerance — the AI never fabricates diagnoses, medications, findings, or recommendations
• Staged generation — each stage processes only the information available at that point, preventing invented context
• Red Flag review system — automated checks identify missing critical documentation elements
• No patient data stored in AI context windows — each generation is independent

4. Testing Methodology

Our adversarial testing program is specifically designed to trigger hallucination in AI systems:

• Tests cover multiple categories of clinical ambiguity, from uncertain patient statements to missing data scenarios
• Adversarial inputs are crafted to probe failure modes, not just the expected path
• A single hallucination fails the entire test — zero tolerance
• Testing is ongoing and continuous, not a one-time validation

Enterprise customers can access the full methodology under NDA. Third-party auditors can request independent validation access.

5. Content Updates & Corrections

We continuously update RapidNoteMD to improve documentation quality:

• AI system prompts are reviewed and refined based on physician feedback and clinical accuracy metrics
• Safety testing is conducted on an ongoing basis with expanded adversarial test suites
• Platform content (marketing pages, help documentation) is reviewed quarterly for accuracy
• If a user reports an inaccuracy in generated documentation, we investigate and update our system prompts within 48 hours

6. Data Sources & AI Model

RapidNoteMD uses Claude, an AI model developed by Anthropic, for clinical note generation. The model operates with custom system prompts that enforce medical documentation standards and prevent hallucination.

The system does not access external medical databases, patient records, or third-party data during generation. All output is based solely on the information provided by the physician for the current encounter.

7. Conflicts of Interest

RapidNoteMD has no financial relationships with pharmaceutical companies, medical device manufacturers, insurance companies, or any entity that could influence the content of generated clinical documentation.

Our AI does not recommend specific medications, devices, or treatments by brand name. All clinical recommendations in generated notes are evidence-based and reflect standard emergency medicine practice.

8. Contact Us

If you have questions about our editorial standards, want to report an inaccuracy, or need information about our safety testing methodology:

General: support@rapidnotemd.com

Security concerns: security@rapidnotemd.com

Enterprise validation: enterprise@rapidnotemd.com