Agentic AI for Healthcare
Healthcare organizations face a unique challenge: an urgent need to reduce administrative burden and improve patient outcomes — while maintaining the most stringent data privacy and safety standards of any industry.
AI Applications Across the Care Continuum
Clinical Documentation Automation
AI-assisted ambient documentation that converts physician-patient conversations into structured clinical notes, reducing documentation time by up to 70% and enabling more face time with patients.
Prior Authorization Automation
Intelligent agents that review clinical criteria, pull supporting documentation from the EHR, draft authorization requests, and track submission status — reducing PA processing time from days to minutes.
Clinical Decision Support
AI systems that synthesize patient history, lab results, and clinical literature to surface relevant diagnostic considerations and treatment options — supporting, not replacing, physician judgment.
Patient Engagement Agents
24/7 conversational AI for appointment scheduling, medication reminders, symptom triage, care plan follow-up, and post-discharge check-ins integrated with your patient portal.
Revenue Cycle Intelligence
Automated claim scrubbing, denial management, and appeals drafting. AI analysis of denial patterns to identify and fix upstream coding and documentation issues before claims go out.
Research & Literature Intelligence
Agentic literature review that synthesizes clinical trial data, systematic reviews, and real-world evidence to support research, formulary decisions, and protocol development.
HIPAA-First Architecture
Every eLightInfo healthcare solution is designed and deployed under a HIPAA-compliant architecture. We execute Business Associate Agreements (BAAs) with clients and ensure PHI is handled with the controls required under HIPAA Security Rule.
Our deployments support HL7 FHIR R4 integration for interoperability, and we work within the FDA's Software as a Medical Device (SaMD) framework for any solutions that may support clinical decision-making.