HIPAA-compliant AI that never touches the cloud.
Summarize patient histories. Assist with diagnostic decisions. Automate coding and billing. All running on your hospital's own servers, with full audit trails and zero external data exposure.
The Problem
The healthcare AI
dilemma.
AI can transform clinical workflows. But cloud AI creates compliance exposure that healthcare organizations cannot accept.
Patient data in the cloud
Every cloud AI call sends protected health information to infrastructure you do not own, creating HIPAA exposure your compliance team cannot sign off on.
AI hallucinations in clinical settings
General-purpose models trained on the entire internet mix sources, hallucinate references, and cannot trace their outputs to authoritative clinical literature.
No audit trail for AI decisions
Cloud AI providers disclaim responsibility for outputs. There is no logging, no traceability, and no way to reconstruct how an AI-assisted clinical decision was made.
Use Cases
How healthcare organizations use AskSLM.
Domain-specific AI models trained on verified clinical literature, deployed entirely within your network.
Patient history summarization
Summarize complex patient histories, lab results, and clinical notes before consultations. Clinicians get a comprehensive snapshot in seconds, not minutes of chart review.
Diagnostic support
Flag potential issues, lab anomalies, and relevant differential diagnoses from peer-reviewed clinical guidelines. Domain-specific models trained on verified medical literature.
Medical coding and billing
Automate ICD-10, CPT, and HCPCS coding workflows. Reduce coding errors, accelerate billing cycles, and free up clinical staff for patient care.
Clinical decision support
Query AI models through secure, encrypted on-premise connections for evidence-based guidance. Every interaction is logged with full audit trails for compliance review.
In Practice
What this looks like.
A healthcare provider integrates AskSLM into its hospital network. Clinicians use AI-powered tools to summarize patient histories before consultations, flag potential issues and lab anomalies, and securely query diagnostic models through encrypted on-premise connections -- all without sending a single byte of patient data outside their infrastructure.
Summarizes patient histories before consultations
Flags potential issues and lab anomalies
Encrypted on-premise diagnostic queries
Full compliance with healthcare privacy laws
Compliance
Compliance is the architecture.
AskSLM was designed from day one for environments where data handling is not optional. Every design decision supports the compliance frameworks your organization operates under.
HIPAA
Protected health information never leaves your infrastructure. Hardware-bound encryption, role-based access controls, and complete audit trails for every AI interaction.
HITECH
Full support for HITECH Act requirements including breach notification readiness, audit logging, and access controls aligned with meaningful use standards.
Get Started
See HIPAA-compliant
AI in action.
We will walk you through a live deployment tailored to your hospital's infrastructure, compliance requirements, and clinical workflows.
No commitment. No data shared. 30-minute call.