Best LLMs for Healthcare
HIPAA-eligible LLMs for clinical AI, medical Q&A, and healthcare automation
Quick Recommendation
Med-PaLM
Clinical LeaderChoose if you need:
- ✓Clinical accuracy is the highest priority for your healthcare app
- ✓You need a model fine-tuned specifically for medical knowledge
- ✓Your stack is Google Cloud with Vertex AI integration
GPT-4o
Most AccessibleChoose if you need:
- ✓You need the broadest healthcare integration ecosystem
- ✓Multi-modal features (medical imaging + text) are required
- ✓HIPAA-eligible deployment via Azure OpenAI is your path
Claude
Safest ChoiceChoose if you need:
- ✓Minimal hallucination is critical for patient-facing features
- ✓You need long-context analysis of medical records (200K+ tokens)
- ✓Safety-first AI alignment matters for your regulatory strategy
Side-by-Side Comparison
| Feature | Med-PaLM | GPT-4o | Claude |
|---|---|---|---|
| Medical Benchmarks | Expert-level (MedQA 86.5%) | Strong (MedQA ~83%) | Strong (MedQA ~80%) |
| HIPAA Eligible | Via GCP BAA | Via Azure OpenAI BAA | Via AWS Bedrock BAA |
| Context Window | 32K tokens | 128K tokens | 200K (1M ext.) |
| Medical Fine-Tuning | Purpose-built for medicine | General + fine-tune API | General purpose |
| Multi-Modal Medical | MedLM imaging support | Vision API for imaging | Vision input support |
| Hallucination Rate | Very low (medical domain) | Low | Very low (general) |
| Pricing | Custom (GCP enterprise) | $2.50/$10 per M tokens | $3/$15 per M tokens |
Our Verdict
For healthcare mobile apps, Med-PaLM offers the highest clinical accuracy with purpose-built medical training, but is limited to Google Cloud. GPT-4o via Azure provides the most flexible HIPAA-eligible deployment. Claude is our recommendation when minimal hallucination and long-context medical record analysis are paramount.
Frequently Asked Questions
Need help choosing between Med-PaLM and GPT-4o?
Our engineers have production experience with both tools. We can help you make the right choice based on your specific requirements, timeline, and budget.