Widal
Selected work
Case study

Clinical AI with Model Context Protocol

Widal developed a comprehensive clinical AI platform leveraging advanced Model Context Protocol (MCP) implementations, custom agentic workflows, and fine-tuned foundation models. This cutting-edge system integrates multiple AI platforms to provide intelligent clinical decision support while maintaining HIPAA compliance and data privacy.

Outcome

The number that moved

MCP

Custom Model Context Protocol integration for EHR and lab data.

The challenge

Building intelligent clinical AI at scale.

  • 01

    Integrating multiple AI models (Anthropic Claude, OpenAI GPT, Meta Llama) into a unified clinical workflow.

  • 02

    Implementing secure, real-time data access through Model Context Protocol for EHR and lab systems.

  • 03

    Creating agentic AI systems that can reason about complex medical scenarios and provide actionable insights.

  • 04

    Ensuring HIPAA compliance and patient data privacy across all AI interactions.

The solution

Multi-modal AI with advanced MCP integration.

  • 01

    Developed custom Model Context Protocol implementations for seamless EHR, lab, and imaging data access.

  • 02

    Built agentic AI workflows using Anthropic Claude for constitutional reasoning and OpenAI GPT for rapid analysis.

  • 03

    Implemented fine-tuned Llama models for specialized medical NLP tasks and clinical documentation.

  • 04

    Created privacy-preserving AI architectures using federated learning and differential privacy techniques.

  • 05

    Designed real-time clinical decision support with multi-agent coordination and human oversight.

Stack
Anthropic ClaudeOpenAI GPT-4oMeta Llama 4Model Context ProtocolPyTorchFHIRHL7
The impact

Transforming clinical decision making with AI.

  • 01

    Reduced clinical decision time in pilots, under physician oversight.

  • 02

    Earned strong qualitative physician feedback on AI-generated clinical insights, in pilot review.

  • 03

    Operated against EHR and lab data under HIPAA-aligned controls, with audit logging on every access.

  • 04

    Surfaced deterioration and risk signals earlier through real-time clinical decision support.

01

MCP

Custom Model Context Protocol integration for EHR and lab data

02

Multi-model

Claude, GPT, and Llama coordinated under human oversight

03

HIPAA

BAA-aligned, audit-logged AI interactions

04

Measurable

Reduction in clinical decision time, under physician oversight

Topics
Agentic AIModel Context ProtocolClinical Decision SupportHIPAA ComplianceMulti-Model AIHealthcare AI
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