LARi – Let AI Run RCM

LARi, short for Lean AI Revenue Intelligence, is an innovative product developed by Tibra AI that redefines the landscape of healthcare revenue cycle management (RCM). LARi is a next-generation Smart RCM solution built on top of the MIMSYS Hospital ERP platform.

LARi leverages artificial intelligence to enhance and streamline the complete RCM lifecycle, including:

Online insurance approval
Eligibility validation
Claims submission and tracking
Payment receipt and reconciliation
Claims resubmission workflows
Insurance statements management
Seamless online integration with the Insurance Hub

This intelligent automation not only improves efficiency but also ensures accuracy and faster reimbursement cycles for healthcare providers.

Smart RCM Revolution

How Tibra AI is Redefining Healthcare Efficiency

The future of healthcare administration lies in smart, data-driven automation — and Tibra AI is leading that transformation. In a pioneering collaboration, Tibra AI is building a Smart Revenue Cycle Management (RCM) system on top of the MIMSYS Hospital ERP. This intelligent ecosystem leverages Tibra’s AI-powered Electronic Health Records (EHR) and seamlessly integrates with MIMSYS’s robust backend, enabling hospitals to optimize revenue flows, reduce denials, and improve patient outcomes. Smart RCM is more than billing automation — it’s an end-to-end solution that understands clinical context, aligns financial decisions with medical data, and supports administrators, coders, and physicians alike.

The Challenge – Why Traditional RCM Falls Short

Traditional RCM systems are heavily reliant on manual workflows, scattered data, and post-facto coding interventions. These limitations lead to:

Increased claim denials due to poor documentation or coding mismatches

Revenue leakage from unbilled procedures or missed coding opportunities

Lack of visibility into reimbursement trends

Inefficient back-and-forth between doctors and coders

The Smart RCM Advantage

Tibra’s Smart RCM platform introduces intelligence at every step of the revenue cycle, anchored on three pillars:

Context-Aware Documentation

Tibra’s AI EHR extracts relevant clinical data, including SOAP notes and diagnosis details, and uses it to recommend CPT and ICD codes in real-time. This ensures compliance and completeness, right at the point of care.
AI-Powered Code Suggestions Based on a hospital’s own historical data and global coding databases,
Seamless Integration with MIMSYS hospital ERP The Smart RCM layer plugs directly into MIMSYS ERP modules — from billing and claims to patient master and scheduling. This ensures a unified flow of data with minimal disruption and no need for duplicate entry.

Key Benefits for Hospitals

Faster Claims Submission

With correct codes from the start, the billing process is streamlined.

Reduced Denials

Smart documentation and real-time alerts catch compliance gaps early.

Improved Clinician Productivity

Doctors are guided by AI suggestions, reducing documentation time.

Custom Model Training

Each hospital benefits from a personalized model trained on its own data, making it more accurate over time.

Actionable Insights

Dashboards provide real-time feedback on reimbursements,
denial reasons, and performance trends.

From Errors to Efficiency:

How LARI Transforms RCM Validation

In today’s fast-paced healthcare environment, manual claim validation is no longer efficient or sustainable. An AI-powered validation module in Revenue Cycle Management (RCM) plays a critical role in ensuring clean, accurate, and compliant claims before submission. By combining rule-based logic with machine learning, it can automatically detect coding errors, coverage issues, and missing documentation— dramatically reducing claim denials and payment delays. It also learns from past mistakes, improving over time and enabling healthcare providers to accelerate cash flow, reduce administrative costs, and maintain regulatory compliance.

AI-Powered Claims Submission: From Clean Data to Intelligent Denial Management

In the evolving landscape of Revenue Cycle Management (RCM), AI-powered claims submission redefines the post-validation workflow. This intelligent process not only ensures clean, compliant, and accurately coded data but also incorporates predictive denial analysis and proactive denial management, making revenue capture faster, smarter, and more reliable.
Once the AI validation engine confirms the accuracy of patient demographics, clinical documentation, and coding alignment, the system seamlessly transitions to claim preparation and submission. But it doesn’t stop there.

AI-Powered Denial Management

When denials do occur, the AI engine automatically:

Analyzes the denial reason and links it to known payer behavior
Suggests corrective actions based on historical trends,
Updates internal validation logic to prevent future recurrences.
And routes unresolved issues to appropriate staff with clear guidance.

By bridging clean validation, intelligent submission, and proactive denial handling, AIpowered RCM systems ensure providers move beyond just reducing denials—they prevent them. The result: accelerated reimbursements, improved compliance, reduced administrative costs, and stronger financial performance.