QA/AI-integrated medical billing platform optimizes your workflows and revenue stream.
Identify billing, clinical, and compliance issues in a fraction of the time of manual review.
Logic Checks
Find and fix inconsistencies before they impact your bottom line.
Protocol Adherence
Ensure patient care aligns with local and regional protocols.
Insights that Matter
Use trends and reports to streamline training and development.
Decrease Workload, Increase Reimbursement.
Documentation + Compliance + Revenue
HIPAA-compliant AI reduces your workload, provides valuable insights, and improves your reimbursement potential. Save up to 80% of time spent reviewing reports for clinical and billing compliance to increase your revenue, productivity, and competencies.
AI ePCR Review
Automated Clinical Review
MAIA flags protocol gaps, inconsistencies, and compliance risks before submission.
•Reduce documentation and clinical errors.
•Improve staff training and development.
•Track trends in care, call type, and unit utilization.
Care + Billing Integration
Billing-Ready Documentation
Instant audit of alignment between billing codes and level of care provided.
•Reduce under-billing for advanced care calls.
•Improve ICD-10 coding specificity for enhanced billing.
•Identify modifiable “pinch points” in your agency.
Medical Billing Optimization
Billing-Ready Documentation
Ensure complete, defensible documentation aligned to reimbursement requirements.
•Reduce claim denials.
•Increase reimbursement rates.
•Audit protection.
Save up to 80% of time spent on reports, QA/QI and medical billing with increase revenue
Bespoke Solutions for Your Agency
Customized reports allow you to track metrics that matter most to your agency and simplify regulatory reporting, accreditation requirements, and recognition applications.
Integrates with your current ePCR platform without disrupting your current workflow.
Secure, HIPAA-compliant, encrypted cloud infrastructure combined with role-based access controls and audit trail logging protects your data and your patients’ privacy.