Strategy and Solutions
The client is an emerging imaging AI startup focused on delivering advanced diagnostic insights for radiology workflows. Despite having strong AI models, the startup faced low adoption due to limited integration with existing PACS systems and poor usability. To overcome these barriers and accelerate market entry, the startup partnered with Zymr.
The startup’s AI solution lacked seamless integration with widely used PACS systems, making it difficult for radiologists to incorporate AI insights into their daily workflows. This disconnect created friction, limiting real-world usability and slowing adoption.
User experience challenges further impacted engagement. Radiologists were required to switch between multiple systems, disrupting their workflow and reducing efficiency. As a result, even accurate AI models failed to gain traction in clinical environments.
Additionally, the absence of a DICOM-native interface and streamlined study workflows made it difficult to position the solution as a practical tool for real-time diagnostics. The startup needed a scalable, user-friendly platform that could integrate directly into existing radiology ecosystems.
Zymr enabled the startup to transform its AI solution into a clinically viable, workflow-integrated platform, improving adoption and commercial outcomes.
Zymr designed and implemented a comprehensive solution to align the startup’s AI capabilities with real-world radiology workflows.
.svg)
.svg)
.svg)
.svg)
.svg)
.svg)