The OHIF Viewer (Open Health Imaging Foundation Viewer) is a powerful open-source, web-based DICOM viewer widely used by healthcare providers, researchers, and developers around the world. Its modular architecture and flexible design make it highly customizable. But when it comes to customization, many stakeholders wonder: What can be customized in OHIF Viewer, and how much does it cost?
In this article, we’ll cover:
OHIF Viewer is a React-based DICOM viewer that allows users to view and interact with medical imaging data directly in the browser. It supports modern features like:
It’s widely appreciated in medical imaging, radiology research, and telehealth because of its open-source nature and extensibility.
OHIF was designed with extensibility in mind. You can customize nearly every aspect of it:
Since OHIF Viewer is open source, there is no license fee. However, the customization costs depend on several factors:
Customization Level |
Estimated Cost (USD) |
Details |
Basic UI Branding |
$400 – $1,100 |
Logo, color scheme, basic layout |
Medium Customization |
$1,500 – $3,000 |
Toolbar customization, PACS/RIS integration |
Advanced Customization |
$4,000 – $10,000+ |
AI integration, custom plugins, security |
Ongoing Maintenance & Support |
$300 – $800/month |
Updates, bug fixes, feature upgrades |
Bangla Puzzle Limited is currently onboarding early partners and pilot users for this revolutionary PACS system. If you're a hospital or healthtech innovator looking to streamline your imaging workflow with an affordable and customizable DICOM solution, now is the time to connect.
🌐 Website: www.banglapuzzle.com
📧 Email: ceo@banglapuzzle.com
📍 Address: Shyamoli, Dhaka, Bangladesh
Mobile: +8801880811048 (Phone+Whatsapp+Telegram)
OHIF Viewer offers a cost-effective, customizable DICOM viewer that can be tailored to meet a wide variety of healthcare and research needs. Whether you need simple UI tweaks or complex AI integrations, understanding your customization goals will help you estimate the cost of OHIF Viewer customization more accurately.
If you're planning to build your own medical imaging platform, OHIF is a smart place to start.
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