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Building an Advanced PACS System for Medical Equipment Provider

Building an Advanced PACS System for Medical Equipment Provider

Client Background


A leading provider of medical equipment such as CT machines and X-ray machines needed an online PACS system to improve the workflow for doctors, radiologists, and technicians.

Project Overview


Developed a comprehensive Picture Archiving and Communication System (PACS) that includes online and installable software versions, enabling medical professionals to view, report, and sign off on medical images.

Technical Highlights


Custom Integration
Custom Integration

Incorporated OHIF viewer for optimal medical image viewing, customized to meet specific client needs.

Digital Reporting
Digital Reporting

Enabled the creation and digital signing of reports by technicians and radiologists.

Dual Deployment
Dual Deployment

Developed both web-based and installable software versions for flexibility.

Implementation Details


1. Discovery Phase

  • Conducted extensive workshops with the client to understand their requirements and workflows.
  • Mapped out user roles and permissions for doctors, radiologists, and technicians.

2. Development Phase

  • Customized OHIF viewer for enhanced medical image viewing and annotation.
  • Developed a robust backend using Node.js and Express.js to handle large volumes of image data.

3. Deployment Phase

  • Used Docker for containerization to ensure consistent deployment across different environments.
  • Leveraged Electron to create an installable desktop version of the web application.

Key Features


  • User Roles and Permissions: Defined roles for doctors, radiologists, and technicians with specific access rights.
  • Advanced Image Viewing: Customized OHIF viewer for detailed image analysis and annotations.
  • Digital Signatures: Integrated digital signatures for secure report confirmation.
  • Dual Access: Provided both web and desktop versions for flexible usage.

Results


Efficiency
Efficiency

Streamlined the process of viewing and reporting medical images.

Adoption
Adoption

The system is live and used by multiple clinics in the USA.

Flexibility
Flexibility

Available as both a web application and installable software, catering to diverse user needs.

Tools & Technologies


Frontend

React.js, OHIF Viewer

Backend

Node.js, Express.js

Database

MongoDB

Other Technologies

Docker for containerization, Electron for converting the web app to a desktop application.

Overall client rating is 4.9 out of 5.0 for Web & Mobile App Development by 360+ Clients.

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