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Infrastructure Upgrade for Secure, High-Performance Credentialing System in Healthcare Tech
  1. case
  2. Infrastructure Upgrade for Secure, High-Performance Credentialing System in Healthcare Tech

Infrastructure Upgrade for Secure, High-Performance Credentialing System in Healthcare Tech

capitalnumbers.com
Medical
Business services

Identified Challenges in Healthcare Credentialing Platforms

The client’s existing credentialing system experiences delays in data retrieval and processing, security vulnerabilities due to outdated protocols, inefficient handling of large credentialing files, and system instability under high traffic volumes. These issues lead to slow claims processing, delayed reimbursements, and compromised data security, hampering overall operational efficiency and compliance.

About the Client

A mid-to-large scale healthcare credentialing platform supporting nationwide practitioner verification and licensing processes.

Key Goals for the Credentialing System Enhancement

  • Reengineer the core architecture to handle peak volumes of credentialing documents and user traffic efficiently.
  • Increase document upload size capacity to accommodate large files (up to 25MB).
  • Implement auto-scaling infrastructure to support high-capacity workloads during surges.
  • Enhance security by supporting only modern encryption protocols (e.g., TLS 1.2), and improve user authentication safeguards.
  • Reduce response times for credential data retrieval and processing.
  • Establish fault-tolerant features, including fallback mechanisms, to ensure continuous availability.
  • Automate system maintenance tasks such as log management and cleanup for optimal performance.

Core Functional Requirements for a Secure Credentialing Platform

  • Efficient APIs for processing and retrieving large credentialing datasets including licenses, education records, and insurance documents.
  • Expanded file upload capacity up to 25MB to accommodate extensive credentialing records.
  • Advanced load balancing and scalable infrastructure with auto-scaling mechanisms such as container orchestration (e.g., Kubernetes) and cloud-based scaling (e.g., AWS Auto Scaling).
  • Redundant fallback and self-healing mechanisms for continuous uptime.
  • Enhanced security with HTTPS headers, TLS 1.2 enforcement, and secure user authentication via reverse proxy configurations.
  • Integration of distributed architecture for faster global data access.
  • Automated log management and system health monitoring.

Technology Stack and Architectural Preferences

Containerization using Docker
Orchestration with Kubernetes (e.g., Amazon EKS)
Cloud infrastructure with auto-scaling support
Secure API and web services development
Cloud-based database systems (e.g., RDS)
CI/CD automation tools (e.g., Jenkins)
Content Delivery Network and security enhancement via Cloudflare
Secure authentication mechanisms (e.g., Keycloak)

External System and Service Integrations

  • Identity and access management via authentication proxy (Keycloak)
  • Cloudflare for CDN and security optimization
  • Database systems for credential data storage
  • Monitoring and logging services like CloudWatch

Critical Non-Functional System Requirements

  • System scalability to support up to several thousand concurrent credential uploads and retrievals
  • Response times for data processing under 2 seconds for high-volume requests
  • Strong security posture supporting only TLS 1.2, encryption of credential data, and preventive measures against user enumeration
  • Fault tolerance with fallback and self-healing features to ensure 99.9% uptime
  • Automated maintenance and log cleanup to reduce manual intervention
  • Consistent deployment process for error-free releases through CI/CD pipelines

Projected Benefits and Business Impact of the Credentialing System Enhancement

Implementation of this upgrade aims to significantly improve data processing speed, reduce credentialing response times, and enhance overall security, leading to faster claims processing and reimbursements. The system's scalability and fault tolerance will support large surges in traffic, maintaining high availability and compliance, ultimately resulting in improved practitioner onboarding, increased operational efficiency, and better patient care standards.

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