Platform Overview
Multi-Model AI Access
Why organizations need unified access to OpenAI GPT, Anthropic Claude, Google Gemini, Perplexity and more through one governed platform
The Single AI Model Trap
Many organizations approach AI by picking “one AI tool” (usually ChatGPT) and trying to make it work for everything.
This fails because different AI models excel at different tasks. What’s best today may not be best tomorrow. Single-model strategies create vendor lock-in and suboptimal outcomes.
Different AI Models, Different Strengths
Each major AI model has distinct capabilities optimized for specific use cases
OpenAI GPT
Best For:
General documentation
Patient education materials
Email and correspondence
Meeting summaries
Quick Q&A and research
Result: Usage continues underground, zero visibility, no governance progress
65% of healthcare AI usage
of total usage
Claude Sonnet
Best For:
Complex analysis
Policy interpretation
Appeal letter drafting
Long-form content
Nuanced reasoning tasks
Result: Usage continues underground, zero visibility, no governance progress
25% of healthcare AI usage
of total usage
Google Gemini
Best For:
Research and citations
Data analysis
Multimodal tasks (text + images)
Integration with Google Workspace
Real-time information needs
Result: Usage continues underground, zero visibility, no governance progress
10% of healthcare AI usage
of total usage
AI Use Case Examples
Why the right model matters for specific healthcare tasks
Discharge Summary Documentation
A physician needs to convert detailed clinical notes into a patient-friendly discharge summary in under 60 seconds
Best Model: GPT
Speed and general-purpose capability. GPT-4 excels at quick transformations of medical jargon into plain language.
Alternatives
Claude would work but is slower. Gemini would work but less optimized for this use case.
Insurance Appeal Letter
Revenue cycle team needs to draft a complex appeal arguing why a denied procedure was medically necessary based on clinical guidelines
Best Model: Claude
Superior reasoning and analysis. Claude is better at building logical arguments and maintaining coherent long-form content.
Alternatives
GPT can do it but tends to be less thorough. Gemini struggles with healthcare-specific argumentation.
Policy Research & Summarization
Compliance team needs to understand new CMS guidance and summarize implications for the organization
Best Model: Gemini
Research integration. Gemini can pull from recent sources and provide citations, which is crucial for policy work.
Alternatives
GPT and Claude rely on training data and can’t access recent policy updates as effectively.
Patient Education Materials
Care coordination team wants to create condition-specific education handouts in English and Spanish at 6th grade reading level
Best Model: GPT
Versatility and multilingual capability. GPT-4 handles language translation and readability adjustments best.
Alternatives
Claude and Gemini can do this but GPT-4 is faster and more consistent.
Clinical Data Analysis
Quality team analyzing readmission patterns and needs help identifying trends from structured data
Best Model: Gemini or Claude
Analytical strength. Both excel at structured data analysis, though Gemini has slight edge for numerical work.
Alternatives
GPT can analyze data but is optimized more for text generation than analysis.
The Landscape Is Always Changing
New models launch every few month. Avoiding vendor lock-in & flexibility is critical
18
Major AI model releases in 2024
3-6
Months between significant updates
∞
New models coming in 2025+
The Problem
If you lock into one model today, you’re betting that model will remain the best choice for the next 3-5 years. That’s a bad bet.
2023
Open AI’s GPT dominates. Claude is niche. Gemini doesn’t exist yet.
Impact: Organizations that went all-in on OpenAI only missed Claude’s superior analysis capabilities.
2024
Claude 3.5 launches with better reasoning. Gemini Pro improves dramatically. GPT-4o adds multimodal.
Impact: Single-model organizations scramble to add Claude or stay behind on analytical tasks.
2025
New models from Amazon, Meta, open-source community. Specialized healthcare AI models emerge.
Impact: Organizations locked into specific vendors miss opportunities and pay higher costs.
The Multi-AI Model Advantage
Why governed platforms provide access to multiple models
Optimize for Each Use Case
Use GPT-4 for documentation, Claude for analysis, Gemini for research. Get the best tool for each job instead of forcing one model to do everything.
No Vendor Lock-In
If OpenAI raises prices or degrades service, you can shift usage to Claude or Gemini without disruption. You’re not held hostage by a single vendor.
Future-Proof Strategy
New models launch constantly. Multi-model platforms let you add new AI capabilities without ripping out your governance infrastructure.
Staff Preferences Matter
Some users prefer Claude’s style. Others like GPT-4’s speed. Giving options increases adoption and satisfaction.
The Critical Part: Governance
Multi-model access without governance is just more shadow AI.
The platform must provide PHI protection, audit logging, role-based access, and compliance controls across all models. One governance layer, many AI models.
