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Development of a Scalable and Customizable Laboratory Reporting Platform
  1. case
  2. Development of a Scalable and Customizable Laboratory Reporting Platform

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Development of a Scalable and Customizable Laboratory Reporting Platform

solutelabs.com
Health & Fitness
Medical
Pharmaceutical

Challenges with Existing Reporting Solutions

RCL is facing significant challenges with their current laboratory reporting tools. These include high licensing costs that do not align with their operational scale, a lack of customization options that limit their ability to tailor reports to specific needs, subpar user experiences leading to inefficiencies, compatibility issues with Roche Cobas Infinity 01 analyzers, and difficulty justifying the investment due to a low return on investment. The existing tools also struggle with data standardization and anomaly detection.

About the Client

RCL is a network of medium-sized clinical laboratories providing diagnostic testing services to hospitals, physician groups, and other healthcare providers across a specific geographic region. They are experiencing growth and need a more robust and cost-effective reporting solution.

Project Goals

  • Reduce overall reporting tool costs while improving ROI.
  • Provide a highly customizable reporting platform to meet diverse client and internal reporting needs.
  • Enhance user experience and streamline reporting workflows.
  • Ensure seamless integration with Roche Cobas Infinity 01 analyzers and other lab systems.
  • Improve data quality and reliability through robust validation and error handling.
  • Meet and maintain HIPAA compliance while ensuring data security and privacy.
  • Enable future scalability and cloud deployment.

Functional Requirements

  • HL7 data processing and configuration with support for various versions and formats.
  • Customizable report templates with branding and dynamic content.
  • Generation of distinct reports for physicians and patients.
  • Real-time report preview and template iteration.
  • Anomaly detection and error logging.
  • Secure data storage and access control.
  • Offline data processing and reporting.
  • Integration with Roche Cobas Infinity 01 analyzers.

Preferred Technologies

Docker
Kubernetes
MongoDB
Cloud platforms (AWS, Azure, GCP)

Required Integrations

  • Roche Cobas Infinity 01 analyzer
  • Existing laboratory information system (LIS)
  • Electronic Health Records (EHR) systems

Key Non-Functional Requirements

  • Scalability to handle increasing data volumes and user load.
  • High performance and responsiveness.
  • Robust security and HIPAA compliance.
  • Reliability and data integrity.
  • Cross-platform compatibility (Windows, macOS, Linux).
  • Low resource consumption (memory and CPU).

Expected Business Impact

Implementation of this platform is expected to result in significant cost savings through reduced licensing fees, improved operational efficiency through streamlined workflows, enhanced decision-making through customized reporting, and increased customer satisfaction through improved report quality and accessibility. The ability to scale the platform will support RCL's continued growth and expansion.

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