LLMs.Healthcare
The LLM Connection Layer for Healthcare
Enabling seamless, secure, and intelligent interaction across healthcare systems, providers, and patient engagement channels.
Key Platform Features
Plug-and-Play LLM Agents
Specialized AI agents for specific healthcare workflows including intake automation, discharge summaries, prior authorization, and follow-up care.
HIPAA-Compliant Routing
Secure memory management and routing for LLMs interacting with Protected Health Information (PHI), ensuring compliance and data security.
Agent Orchestration
Intelligent task routing allowing agents to hand off or escalate context-aware tasks from chatbots to care coordinators seamlessly.
Healthcare Standards Support
Built-in support for FHIR, HL7, and custom EMR adapter modules to integrate with existing healthcare infrastructure.
Unified API & SDK
Comprehensive development tools that health tech startups and hospital IT teams can easily integrate with their existing systems.
llms.txt Registry
A standardized registry of AI policies, permissions, and preferred endpoints for interacting with healthcare data and services.
Introducing llms.txt Standard
Similar to robots.txt for web crawlers, llms.txt defines how AI systems can interact with healthcare data and services.
- Define what data LLMs can access with granular read/write scopes
- Specify preferred AI vendors or internal models for specific tasks
- Set rate limits, audit requirements, and escalation paths
- Define fallback rules for agent failure or handoff
examplehospital.com/llms.txt
# llms.healthcare Configuration File # Version: 1.0 # Global Settings LLM-Agent-Allow: * LLM-Rate-Limit: 100/minute LLM-Audit-Required: true LLM-HIPAA-Compliance: required # Data Access Controls LLM-Allow-Read: /api/patient/demographics LLM-Allow-Read: /api/patient/appointments LLM-Allow-Write: /api/patient/appointments LLM-Disallow: /api/patient/billing LLM-Disallow: /api/admin/* # Preferred Models LLM-Preferred-Model: triage:claude-3 LLM-Preferred-Model: summaries:med-palm-2 LLM-Preferred-Model: scheduling:gpt-4o # Escalation Paths LLM-Escalation-Path: clinical:/api/handoff/clinician LLM-Escalation-Path: billing:/api/handoff/finance LLM-Escalation-Path: emergency:/api/handoff/urgent # Patient Consent Required LLM-Patient-Consent-Required: true
Healthcare AI Use Cases
Patient Intake Automation
Streamline the patient intake process with AI agents that collect information, verify insurance, and prepare documentation before appointments.
Clinical Documentation
Reduce physician burnout by automating clinical note-taking and generating structured documentation from patient-provider conversations.
Care Coordination
Facilitate seamless handoffs between providers and ensure patients receive appropriate follow-up care with AI-powered coordination.
Prior Authorization
Accelerate insurance approvals by automating the prior authorization process with specialized LLM agents that understand medical necessity criteria.
Patient Engagement
Enhance patient experience with personalized communication across multiple channels, from appointment reminders to post-discharge follow-up.
Medical Research
Support clinical research with AI agents that can analyze medical literature, identify potential study participants, and assist with data collection.
Ready to Transform Healthcare AI?
Join the growing network of healthcare providers, systems, and tech companies building the future of AI-powered healthcare.