REPOSITORY_DOSSIER:ACTIVE

patient-management-service

FULL_NAME: Suraj-codes1410/patient-management-service

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METADATA_SPECIFICATION

Description

Hospital Billing & Microservices System using Spring Boot, gRPC, and Kafka.

Engine Classifications

Backend EngineeringData EngineeringDistributed SystemsOpen Source

Topics & Tags

javaspring-bootkafkagrpcdockerspring-security

PRIMARY_LANGUAGE:

Java

STARS_COUNT:

FORKS_COUNT:

HOMEPAGE_URL:None declared

README_DOCUMENTATION_PREVIEW

LIVE_DATA

Patient Management Service

A hospital billing and microservices system designed for high reliability and event-driven coordination.

## System Architecture
The system consists of independent microservices built with Spring Boot communicating over gRPC for low latency and Kafka for asynchronous messaging.

### Key Components
* Patient Billing Service: Manages accounts and invoices.
* Notification Engine: Consumes Kafka events to send billing updates.
* Staff Portal: RBAC-isolated administration interface.

EXTENSION_SLOT: AGENTIC_COMPATIBILITYThis raw README stream is exposed inside the portfolio. In Phase 4, the ORACLE system will build vector embeddings of these markdown nodes to permit natural language queries on repository codebase contexts.

DETERMINISTIC_REPOSITORIES_INTELLIGENCE

STATIC_ANALYSIS

PROJECT_TYPE:Microservices Architecture

PROJECT_CATEGORY:Distributed Systems

ARCHITECTURE_PATTERN:Microservices

COMMUNICATION:

gRPC, Kafka

SECURITY:

Spring Security, RBAC

REPOSITORY_COMPLEXITY:

ADVANCED(13/15 PTS)

TECHNOLOGY_COUNT

High(3/3 PTS)

Detected 6 distinct technologies: Spring Boot, Spring Security, Kafka, gRPC, Docker, Java.
Polyglot environment with high framework density.

ARCHITECTURE_COMPLEXITY

High(3/3 PTS)

Architecture pattern classified as: Microservices.
Distributed topology requiring service isolation and coordination.

INFRASTRUCTURE_COMPLEXITY

High(3/3 PTS)

Identified infrastructure components: Docker, Kafka.
Containerized runtimes, event queues, or distributed state systems require deep ops orchestration.

SERVICE_COUNT

Medium(2/3 PTS)

Identified 2 system services: Backend API Server, Message Queue Broker.
Standard two-tier client-server structure.

INTEGRATION_COUNT

Medium(2/3 PTS)

Identified 2 integrations: gRPC RPC Interops, Kafka messaging pipelines.
Standard backend API interface or basic database connection.

STRUCTURED_TECHNOLOGY_PROFILE:

Backend

Spring BootSpring Security

Messaging

Kafka

RPC

gRPC

Containerization

Docker

CORE_ARCHITECTURAL_CONCEPTS:

Event-Driven Streaming
Binary RPC Communication
Microservice Gateway & RBAC

COMPLEXITY_INDICATORS:

Polyglot Tech Stack IngestionVERIFIED

Multi-Protocol Streaming TopologyVERIFIED

REPO_ACTIVITY_METRIC:HIGH

EXTENSION_SLOT: NEURAL_COMPLEXITY_SCANDeterministic telemetry matched successfully. In Phase 4, the ORACLE core will query active model channels to run structural AST analyses and estimate total developer hours.

Repository Insights

RELATED_PROJECTS_KG:

Patient Management Service

RELATED_SKILLS_KG:

Java

RELATED_TECHNOLOGIES_KG:

Spring BootgRPCKafkaDockerSpring Security

Datetime Telemetry

CREATED_ON:January 10, 2025 at 10:00 AM

LAST_PUSH_UPDATED:June 15, 2026 at 08:00 AM

ORACLE_DIALOGUE_PORTAL

ONLINE

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SHOW_DETAILS:multiverse repo show patient-management-service

CLONE_REPOSITORY:multiverse repo clone patient-management-service