Healthcare | Payer & Provider Networks

Driving RCM Excellence Through Predictive AI

INDUSTRY

Healthcare – Revenue Cycle Management (RCM)

TECHNOLOGY

AI driven, LLM-based medical text extraction, RCM Integration Layer: FHIR, HL7, Node.js, FastAPI, BigQuery / Snowflake, ElasticSearch indexing, real-time dashboards, Frontend Experience: React.js dashboards HIPAA-compliant..

Overview

A large healthcare payer managing multi-state provider networks wanted to enhance their Revenue Cycle Management (RCM) outcomes. Their priority was improving bottom-line profitability by increasing claim acceptance, reducing manual workflows, and optimizing provider utilization. Sorim.AI was engaged to implement an intelligent data-driven RCM transformation engine integrated across clinical, operational, and financial systems..

Problem statement

The client faced significant inefficiencies in their RCM operations:

  • Low clean-claim (claim hit) ratio, resulting in delayed payments 
  • Complex clinical documentation that was difficult to translate into financial structures. 
  • Multiple systems (EHR, PMS, Billing) operating in silos
  • Underutilized provider and facility resources
  • Manual eligibility checks, verification steps, and coding reviews. 
  • No predictive insights for claim denials or payment risks
  • They needed a modern, automated, and AI-driven approach to streamline the entire claims lifecycle and improve profitability

Challenges

  • Fragmented Clinical Data: Clinical notes, diagnostics, and procedure codes were inconsistent across facilities, leading to financial mismatches. 
  • Manual RCM Workflows: Long processing cycles due to manual reviews, coding checks, and payer-specific validations.
  • Lack of Real-time Visibility:No unified dashboard for clinical, operational, and financial mapping.
  • Limited Predictive Intelligence: Denials and claim rejections were identified only after payer response.
  • Provider Resource Inefficiency: Physician and facility utilization lacked data-driven optimization, affecting revenue.

Solution Overview

Sorim.AI deployed a comprehensive AI-Driven RCM Intelligence Layer integrating all clinical, billing, and payer workflows.

Key Solution Components:

  • NLP Extraction Engine to interpret clinical notes, diagnostics, ICD/CPT/HCPCS codes
  • Clinical-to-Financial Transformer improving coding accuracy and reimbursement mapping
  • Claim Readiness Scoring with predictive denial risk assessment
  • Workflow Automation Engine for eligibility checks, coding validations, compliance rules
  • Provider Utilization Dashboard offering real-time insights into resource productivity
  • Unified RCM Visibility Portal built on React.js with customizable analytics

This created a seamless, data-driven workflow from clinical intake to final reimbursement.

Impact  

Sorim.AI delivered measurable improvements across the client's RCM operations:
  • 23–35% increase in clean-claim acceptance 
  • 18% reduction in administrative cycle time
  • Higher provider and facility utilization 
  • More accurate clinical-to-financial mapping 
  • Stronger reimbursement predictability and fewer denials 

Sorim Value Proposition 

  • Intelligent Clinical Data Processing: AI converted unstructured medical notes into structured, financially relevant data.
  • Predictive Claims Intelligence: Identified high-risk claims before submission, reducing denial rates.
  • Seamless Interoperability: Integrated all clinical and financial systems through standardized healthcare protocols.
  • Provider Resource Optimization: Enabled accurate workload analysis for physicians, para-medics, and facility teams..
  • Enterprise-Grade Security and Scalability: Delivered HIPAA-compliant cloud-based architecture with enterprise performance.

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