The client is a public healthcare center operating as a government hospital, with a capacity of 100–300 beds.
Before the project, the medical center relied entirely on a traditional film-based imaging workflow including printing films, storing them physically, and manually transferring them across departments. This approach created several operational bottlenecks:
- High recurring costs for film materials and long-term physical storage
- Longer turnaround time for imaging results due to printing and manual circulation
- Limited accessibility when searching, retrieving, and sharing medical images between units
- Heavy dependence on manual work, increasing staff workload and the risk of process inefficiencies
SotaTek implemented a PACS-AI solution designed to digitize the end-to-end imaging workflow while ensuring smooth interoperability with existing hospital systems. The platform was delivered with the following core capabilities:
- HIS integration to synchronize patient demographics and diagnostic/imaging orders for consistent, error-reduced workflows
- Centralized storage and management of medical images in both DICOM and non-DICOM formats from multiple imaging modalities
- Digital signature integration to support secure validation and official release of imaging results in compliance-focused processes
- AI voice processing integrated into reporting, achieving up to 95% accuracy for standard accents in both English and Vietnamese
After the system went live, our client reported clear improvements in both cost efficiency and clinical operations:
- Up to 60% reduction in operating costs related to film printing and physical storage
- Faster turnaround time for imaging results, enabling quicker clinical decision-making
- Standardized digital workflows across the examination and treatment process
- Stronger image data management, improving how medical imaging data is stored, accessed, and utilized
Overall, SotaTek’s PACS-AI solution helped accelerate healthcare digital transformation at Duc Tho Medical Center and laid a solid foundation for future system scaling and upgrades.
