PDS

End-to-end automation software orchestrating 7 distinct medical billing applications into a unified, high-performance platform.

HEALTHCARE AUTOMATIONCase Study
ETL PIPELINEPROCESS AUTOMATIONHEALTH-TECH

Technologies Used

Next.jsNode.jsMongoDBRedisEDI Standards

Technical Architecture & Design Document

1. Overall Project Details

PDS is an end-to-end automation software suite designed to orchestrate and unify medical billing operations. By consolidating 7 distinct legacy billing applications into a single, high-performance platform, PDS eliminates the fragmentation inherent in healthcare finance. The system acts as a high-availability orchestration layer that synchronizes data across doctor management systems, insurance provider portals, and electronic data interchange (EDI) clearinghouses.

2. Target Audience

  • Medical Billing Companies: Organizations managing billing for multiple healthcare practices who need a unified dashboard.
  • Practice Managers: Healthcare administrators looking to streamline patient intake and insurance reconciliation.
  • Financial Officers (Healthcare): Executives requiring real-time visibility into account receivables and collection metrics.

3. User Experience & Workflow

The platform is designed to transform the complex, multi-step medical billing lifecycle into an automated, 7-stage software orchestration pipeline.

The 7-Software Automation Pipeline

  1. Entity Management: Synchronizing provider credentials across 7 distinct software environments.
  2. Eligibility Verification: Automated real-time checking of patient insurance status via 270/271 EDI transactions.
  3. Claim Scrubbing: AI-driven validation of medical codes to prevent insurance rejections before submission.
  4. EDI Submission: Automated batching and transmission of claims to clearinghouses via 837 protocols.
  5. Portal Orchestration: Headless automation of 7 different insurance carrier portals for status tracking.
  6. Payment Reconciliation: Automated posting of insurance payments (835 ERA) into the core ledger.
  7. Unified Analytics: Real-time financial reporting consolidated from all 7 orchestrated sub-systems.

User Journey Flowchart

Interactive Technical Blueprint

4. Technical Architecture Flow

PDS utilizes a modular gateway architecture to communicate with legacy medical systems that lack modern APIs, often using secure RPA and EDI protocols.

System Architecture

Interactive Technical Blueprint

5. Developer Role & Implementation Focus

  • Software Orchestration: Engineering the bridge between 7 disparate legacy billing applications to ensure atomic data synchronization.
  • EDI Protocol Implementation: Developing high-reliability processors for 837 (Claims), 835 (Payments), and 270/271 (Eligibility) standards.
  • Automated Claim Scrubbing: Implementing a rules-based AI engine to validate medical necessity and coding accuracy in real-time.
  • High-Availability Gateway: Building a Node.js API gateway capable of handling thousands of concurrent billing transactions without data loss.

6. Technology Stack & Tools Used

  • Frontend: Next.js 14, TypeScript, Tailwind CSS, Recharts
  • Backend: Node.js, Express, BullMQ (Task Queue)
  • Data Standards: EDI (X12), HL7
  • Infrastructure: MongoDB, Redis, Docker, AWS EC2

7. Communication Structure (REST & WebSockets)

The system ensures high-fidelity status tracking by using REST for configuration and WebSockets for real-time orchestration logs.

Orchestration Sequence Flow

Interactive Technical Blueprint