Outlier Intelligence Audit

AI Clinical Evaluation

I designed and conducted a strategic comparative audit of frontier LLMs, evaluating logical consistency and clinical reliability in zero-shot medical environments.

ChatGPT

VS

Gemini

Testing Philosophy

Protocol

I measured "Zero-Shot" accuracy to determine each model's innate safety without specialized instructions or context tuning.

Strategic Intent

I established a benchmark for clinical risk mitigation and the effectiveness of autonomous AI guardrails.

Response Vectors

Clinical Reasoning

I audited the AI's ability to handle ambiguity, prioritizing models that identify missing data over hallucinations.

Standard Alignment

I assessed the integration of SBAR protocols and international clinical guidelines within core AI logic.

Guardrail Safety

I verified proactive warning systems and identification of contraindications in complex workflows.

The Strategic Reality

The reality highlighted by this audit is that these models, despite their immense intelligence, remain "Generalist" and lack Clinical Context unless strictly governed by a rigorous medical engineering protocol.

Based on this critical gap, I developed a specialized clinical prompt engineering framework to govern medical outputs and support patient safety.

INTRODUCING THE FRAMEWORK

CPIP