AI Solutions for Healthcare
HIPAA-compliant AI systems that reduce administrative burden, improve patient outcomes, and lower operational costs. Built with compliance from day one, not as an afterthought.
AI Use Cases for Healthcare
Production AI applications that healthcare organizations are deploying in 2026.
Clinical Documentation AI
AI-powered tools that transcribe patient encounters, generate structured clinical notes, and auto-populate EHR fields. Physicians spend an average of 2 hours per day on documentation. Our AI documentation tools reduce that by 30 to 50%, giving clinicians 1+ hours back for patient care daily. Supports SOAP note format, ICD-10 coding suggestions, and integration with major EHR systems (Epic, Cerner, Athenahealth).
Patient Intake Automation
AI chatbots that handle patient intake before appointments: collecting medical history, current medications, allergies, insurance information, and reason for visit. Replaces paper forms and manual data entry. Reduces check-in time by 60 to 70% and improves data accuracy by eliminating transcription errors. Integrates with your EHR and scheduling system to pre-populate records.
Drug Interaction Checking
AI systems that cross-reference prescribed medications against comprehensive drug interaction databases, patient allergy records, and genetic factors. Provides real-time alerts to prescribers with severity classification and alternative medication suggestions. Reduces adverse drug events and supports clinical decision-making at the point of care.
Appointment Scheduling Chatbot
AI-powered scheduling that handles appointment booking, rescheduling, cancellations, and reminders via chat, SMS, or voice. Understands patient preferences, insurance requirements, and provider availability. Reduces scheduling staff workload by 40 to 50% and decreases no-show rates by 20 to 30% through intelligent reminder sequences.
Medical Knowledge Base Search
RAG-powered search over clinical guidelines, treatment protocols, formularies, and internal policies. Clinicians and staff ask questions in natural language and get cited answers from your organization's approved documentation. Ensures staff follow the latest protocols and reduces time spent searching for clinical information by 60 to 80%.
Patient Communication and Follow-Up
AI systems that automate post-visit communications: discharge instructions, medication reminders, follow-up scheduling, and symptom monitoring. Personalized to each patient's condition and treatment plan. Improves medication adherence by 25 to 35% and reduces 30-day readmission rates by catching warning signs early through automated check-ins.
HIPAA Compliance and Security
Compliance is built into every layer of our healthcare AI solutions.
Data Encryption
All Protected Health Information (PHI) is encrypted with AES-256 at rest and TLS 1.3 in transit. Encryption keys are managed through AWS KMS or Azure Key Vault with automatic rotation. Database-level encryption ensures PHI is protected even at the storage layer.
Audit Logging
Every interaction with the AI system is logged with timestamps, user identity, action performed, and data accessed. Logs are immutable, stored for the required retention period (minimum 6 years for HIPAA), and available for compliance audits. We use structured logging with automated alerting for anomalous access patterns.
Access Controls
Role-based access control (RBAC) ensures that only authorized personnel can access PHI. Integration with your existing identity provider (Active Directory, Okta, Azure AD) for single sign-on. Multi-factor authentication required for all administrative access. Minimum necessary access principle applied to all system roles.
Business Associate Agreements
We execute BAAs before any engagement involving PHI. All third-party services used in our healthcare solutions (cloud hosting, AI model providers, databases) have BAAs in place. We maintain a vendor compliance matrix and regularly verify BAA status for all components in the technology stack.
PHI Minimization
We apply the minimum necessary standard to all AI system designs. Where possible, we use de-identified data for model processing. AI prompts are engineered to avoid including unnecessary PHI. Data retention policies automatically purge PHI that is no longer needed for the active use case.
Recommended Packages for Healthcare
Start with an audit, validate with a proof of concept, then build for production.
AI Readiness Audit
$3,000
Evaluate your data, infrastructure, and compliance posture. Get a prioritized roadmap of AI opportunities with estimated ROI. Delivered in 1 to 2 weeks.
Learn more →HIPAA-Compliant Chatbot
Starting at $15,000
Patient-facing or staff-facing AI chatbot with full HIPAA compliance, EHR integration, audit logging, and encrypted data handling. Deployed in 3 to 5 weeks.
Learn more →Medical Knowledge Base
Starting at $15,000
RAG-powered search over clinical guidelines, protocols, and policies. Staff get cited answers from approved documentation. Deployed in 3 to 4 weeks.
Learn more →Frequently Asked Questions
Can AI chatbots be HIPAA compliant?
How much does healthcare AI development cost?
Does Salt Technologies AI sign a Business Associate Agreement (BAA)?
Can AI help with clinical documentation?
What AI models do you use for healthcare applications?
Build HIPAA-compliant AI for your organization
Start with a $3,000 AI Readiness Audit. Compliance built in from day one.