Healthcare Private LLMs

Private, Compliant LLM Deployments for Hospitals, Health Systems, and Medtech Teams

LLM.co provides secure, domain-specific large language models built for healthcare environments. From clinical documentation and patient intake to compliance and analytics, our platform enables providers and organizations to use the power of AI—without compromising on privacy, accuracy, or regulatory compliance.

Why Healthcare Organizations Trust LLM.co

Private Deployments for Full Data Control
Unlike public AI tools that process data in third-party servers, our healthcare LLMs can be deployed on-premise or in your virtual private cloud. This allows hospitals, insurers, and healthtech companies to retain complete control over PHI, EHRs, and sensitive operational data.

Tuned for Medical Language and Terminology
Our models are pre-trained on medical literature, clinical documentation, patient records (when permitted), and diagnostic language. We then fine-tune them to reflect your workflows, specialties, and institutional knowledge—so they generate accurate, relevant, and usable outputs from day one.

HIPAA, HITECH, and GDPR Compliance
We support deployments built with healthcare-grade privacy and compliance in mind. All interactions are logged, encrypted, and auditable. Data stays under your control, and no PHI is ever used for training or inference outside of your secure environment.

Bring Your Own Data (BYOD)
Feed the system with de-identified patient records, policies, clinical trial reports, standard operating procedures, and more. Our platform semantically indexes these documents and makes them instantly accessible via secure natural language queries.

Custom Workflows for Clinical and Administrative Use Cases
Whether your focus is patient communication, documentation review, claims processing, or research, our system adapts to your environment. It works with your staff, not against them, and integrates seamlessly into existing processes.

Grounded Outputs, No Hallucinations
LLM.co models use retrieval-augmented generation (RAG) to ensure every answer is backed by real, verifiable documents. This approach significantly reduces hallucinations and improves clinician trust in AI-generated responses.

Key Use Cases

Clinical Documentation and Note Drafting
Generate structured SOAP notes, discharge summaries, or visit documentation based on patient data or clinician prompts. Reduce time spent on administrative tasks while improving consistency and completeness.

Patient Intake and Communication
Use AI to summarize intake forms, surface patient concerns, and generate first-pass communication. Whether it’s onboarding or post-visit follow-up, the system can assist staff and improve response times.

Medical Knowledge Search and Decision Support
Search across guidelines, care pathways, academic literature, and institutional protocols using natural language. LLM.co can quickly return grounded summaries to assist with decision-making at the point of care.

Claims Review and Coding Assistance
Flag anomalies in billing data, assist in CPT and ICD code suggestions, and improve claims accuracy with contextual understanding of clinical documentation.

Research and Clinical Trial Support
Extract insights from clinical trial databases, regulatory reports, and research archives. Summarize trends, assist with protocol design, or find relevant past cases to accelerate R&D.

Your Data, Your Model

With LLM.co, healthcare organizations never have to upload sensitive information to public clouds or third-party APIs. We enable custom model deployments where the data, model weights, and vector storage remain entirely within your infrastructure.

This gives your team the ability to:

• Query internal SOPs, de-identified case files, or physician notes
• Build organization-specific AI workflows for documentation, analysis, and research
• Maintain full ownership and control over data governance

Designed for Healthcare Compliance and Security

LLM.co deployments are designed from the ground up to support healthcare’s strict regulatory needs. We support:

• HIPAA-compliant architecture
• Support for air-gapped environments
• Role-based access controls and usage auditing
• Full encryption of data in transit and at rest
• Model Context Protocol (MCP) to ensure explainability and traceability

Our platform can also integrate with your existing tools (EHRs, data lakes, cloud providers, etc.) to reduce operational friction.

Who Uses LLM.co for Healthcare

• Health systems and hospital networks implementing AI for clinical efficiency
• Research institutions and clinical trial teams accelerating insight extraction
• Payers and insurance companies improving claims review and risk stratification
• Digital health startups developing AI-first patient tools
• Public health organizations supporting care coordination and analysis

Schedule a Live Demo

Whether you're working with sensitive patient data, building the future of digital health, or simply trying to automate clinical documentation, LLM.co can deliver a private LLM system tailored to your exact needs.

Let’s talk about how we can help you deploy secure, compliant AI—designed to work within your healthcare ecosystem.

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