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Cloud-Based Diagnostic Device Calibration and Quality Control System
  1. case
  2. Cloud-Based Diagnostic Device Calibration and Quality Control System

Cloud-Based Diagnostic Device Calibration and Quality Control System

gorrion.io
Medical

Identified Challenges in Diagnostic Imaging Device Calibration and Quality Assurance

Healthcare providers face complexities in maintaining precise calibration of imaging devices such as X-ray machines, CT, PET, and MRI scanners. Manual processes are inconvenient, and increasing computational demands due to advanced algorithms and imaging technologies necessitate more robust, scalable solutions. Delay or inaccuracies in calibration can critically impact patient diagnosis and treatment outcomes.

About the Client

A leading healthcare technology company specializing in diagnostic imaging equipment calibration and quality assurance solutions, aiming to enhance device accuracy and patient safety.

Project Goals for Next-Generation Diagnostic Software Platform

  • Develop a cloud-based application enabling remote testing and calibration of diagnostic imaging devices to improve efficiency and accuracy.
  • Redesign user interface and workflows incorporating modern design principles to enhance usability and intuitiveness.
  • Ensure high reliability and security to support critical healthcare operations, with ongoing maintenance and support.
  • Achieve recognition for innovative design and functionality, aiming for industry awards or standards compliance.
  • Reduce manual effort for users during software updates and calibration processes, increasing operational throughput.

Core Functional Capabilities for Diagnostic Calibration Platform

  • Secure cloud deployment supporting remote access via web and mobile interfaces.
  • Automated image analysis algorithms to evaluate radiographs and scans against known phantom parameters.
  • Intuitive user interface with guided workflows for successful device calibration and testing.
  • Real-time feedback and detailed reports on calibration status and quality metrics.
  • Version control and update management to streamline software deployment without manual intervention.
  • Integration with hardware test objects (phantoms) and device data sources for seamless operation.

Technological Stack and Architectural Preferences

Cloud computing platforms for scalable deployment
ReactJS for front-end development
ASP.Net Core or equivalent for backend services
Advanced image processing and analysis algorithms

External Systems and Data Sources for Integration

  • Device data APIs for real-time device status updates
  • Imaging hardware test object (phantom) data systems
  • User authentication and authorization services
  • Reporting and data storage systems

Critical Non-Functional System Attributes

  • High system availability (99.9% uptime) to support critical healthcare operations
  • Scalability to handle increasing computational loads and user base
  • Security protocols compliant with healthcare data regulations (e.g., HIPAA)
  • Responsive performance with minimal latency for image processing and analysis
  • Regular updates and maintenance support for reliability

Anticipated Business and Clinical Benefits

Implementing this cloud-based diagnostic calibration system will streamline device testing and calibration processes, reducing manual effort and operational delays. It will enable healthcare providers to ensure imaging device accuracy with greater ease and confidence, ultimately improving diagnostic quality and patient safety. The platform’s modern design and robust analytics aim to garner industry recognition, fostering trust and elevating the client’s market position.

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