SotaMed PACS-AI - AI-powered Medical Imaging Storage & Processing Solution

The client is a government-operated public healthcare center in Vietnam with an approximate capacity of 100–300 beds. The hospital provides diagnostic and treatment services across departments that rely on medical imaging to support clinical decisions.

As part of its digital transformation initiative, the hospital sought to modernize radiology operations, reduce dependence on physical records, and establish a more efficient digital imaging environment while maintaining continuity with its existing hospital information systems.

The hospital relied on film printing, physical archives, and manual image distribution to manage medical imaging records. These processes created recurring material costs, delayed access to diagnostic information, and increased administrative work across departments.

The hospital needed to modernize its imaging workflows while minimizing disruption to existing clinical operations. Key challenges included:

• High film-related costs: Printing diagnostic images and maintaining physical archives generated recurring operating expenses.
• Time-consuming image retrieval: Locating and distributing physical films required additional administrative effort.
• Fragmented clinical information: Imaging records and patient information needed to remain consistent across the PACS environment and the existing HIS.
• Manual reporting processes: Preparing imaging reports involved repetitive documentation tasks that could slow down radiology workflows.
• Workflow continuity: The hospital needed to introduce digital imaging capabilities while preserving established clinical processes and system interoperability.

SotaTek implemented SotaMed PACS-AI to help the hospital:

• Replace film-dependent imaging processes with centralized digital image management.
• Store, organize, retrieve, and share DICOM and non-DICOM medical images.
• Synchronize patient information and diagnostic imaging orders with the existing HIS.
• Introduce AI-assisted speech recognition to support medical imaging report preparation.
• Digitize report verification and approval through digital signatures.
• Reduce recurring film-printing and physical-storage costs.
• Improve access to imaging information across hospital departments.

SotaTek implemented SotaMed PACS-AI to digitize the hospital's medical imaging workflow, from image management and retrieval to reporting and result approval.

The platform centralizes medical images, synchronizes patient and imaging-order information with the existing Hospital Information System, and incorporates AI-assisted voice reporting and digital signatures. These capabilities help reduce manual tasks, improve information accessibility, and support more efficient radiology operations.

The implementation brings together healthcare-focused AI & Machine Learning Development and Custom Software Development capabilities to support medical imaging digitization and hospital system integration.

Key Solution Components

1. Centralized Medical Image Storage and Management

Implemented a Picture Archiving and Communication System environment for storing, organizing, retrieving, and managing medical images from supported imaging modalities.

The system supports DICOM and non-DICOM formats, reducing reliance on physical film archives and enabling authorized healthcare professionals to access imaging information digitally.

2. Hospital Information System Integration

Integrated PACS-AI with the hospital's existing Hospital Information System to synchronize patient demographics and diagnostic imaging orders. This connectivity helps maintain consistent information across systems, minimizes repetitive data entry, and improves coordination between imaging and clinical workflows.

3. Digital Image Access and Sharing

Enabled digital retrieval and sharing of imaging records across hospital departments. This reduces the time and manual effort associated with locating, transporting, and distributing physical films, allowing healthcare professionals to access imaging information through supported digital workflows.

4. AI-Assisted Voice Reporting

Integrated AI speech recognition into the reporting workflow to help physicians convert spoken findings into text. According to SotaTek's project materials, recognition accuracy reaches up to 95% for standard English and Vietnamese accents.

This capability provides an alternative to manual report entry and supports more efficient preparation of medical imaging reports.

5. Digital Signature and Report Approval

Implemented digital signature functionality to support the verification, authorization, and official release of imaging reports. This helps standardize documentation and approval processes within the hospital's digital imaging workflow.

Technology and Implementation

SotaTek deployed PACS-AI within the hospital's existing IT environment, focusing on medical imaging digitization, system interoperability, reporting automation, and operational continuity.

• Core technologies: Picture Archiving and Communication System, DICOM and non-DICOM image management, AI speech recognition, and digital signatures.
• System integration: Existing Hospital Information System, patient information synchronization, and diagnostic imaging order integration.
• AI capabilities: Speech-to-text support for medical imaging reports, with up to 95% recognition accuracy reported for standard English and Vietnamese accents.
• Implementation scope: PACS installation and configuration, integration with existing hospital systems, digital imaging workflows, report authorization, and operational deployment.
• Deployment approach: SotaMed's implementation methodology includes system assessment, configuration, testing, user training, trial operation, and production rollout.
• Software technology stack: Specific programming frameworks, databases, infrastructure, storage architecture, and deployment environment have not been disclosed in the supplied project information.

Medical Imaging Workflow

PACS-AI connects medical imaging activities with hospital information and reporting processes through the following workflow:

1. Patient and imaging-order synchronization: Relevant patient details and imaging orders are synchronized from the hospital's existing Hospital Information System.
2. Medical image acquisition: Diagnostic images generated by supported imaging equipment are incorporated into the PACS environment.
3. Centralized image management: DICOM and non-DICOM images are organized and stored for digital retrieval and access.
4. Image review and reporting: Healthcare professionals retrieve imaging studies and prepare diagnostic reports, with AI-assisted voice recognition available to support text entry.
5. Digital approval: Completed imaging reports can be validated and approved through digital signature functionality.
6. Clinical access: Imaging records and results become available through supported hospital workflows, reducing dependence on printed films and physical distribution.

Related Industry Insights

Digital medical imaging is an important part of healthcare modernization, helping hospitals improve access to clinical information and reduce reliance on manual processes. Explore these related resources:

• Digital Transformation in Healthcare: Benefits, Challenges & Real-World Examples — understand how digital technologies support healthcare operations.
• AI in Healthcare: Use Cases, Benefits & Solutions Explained — explore applications of AI across healthcare.
• AI Automation in Healthcare for Modern Care Delivery — learn how automation can support healthcare workflows.

For more information about SotaMed's digital healthcare solutions, visit SotaMed.

Following implementation, the hospital reported improvements in cost efficiency, imaging accessibility, and radiology workflow management.

Financial Impact

• Up to 60% reduction in film-related operating costs: The hospital reported lower expenditure associated with printing diagnostic films and maintaining physical archives, reducing recurring imaging-related expenses.

Operational Efficiency

• Faster imaging result delivery: Digital image access and reporting workflows reduced dependence on printing and manual circulation, supporting faster delivery of imaging information to clinical departments.
• Reduced manual workload: HIS integration, centralized image management, and AI-assisted reporting helped streamline repetitive administrative and reporting tasks.
• Standardized imaging workflows: Digital processes established a more consistent approach to managing imaging information throughout examination and treatment activities.

Data Management and Digital Transformation

• Centralized imaging records: Consolidated digital storage improved how medical images are organized, retrieved, and shared across departments.
• Improved information accessibility: Healthcare professionals gained more convenient access to imaging records without relying on physical film transfers.
• Foundation for future expansion: The implementation established a digital imaging environment that can support further system development and integration as hospital requirements evolve.

The reported financial impact and operational benefits are based on the supplied project information. No additional quantified improvements in reporting turnaround time or clinical outcomes have been provided.

Modernize Medical Imaging Operations with SotaMed PACS-AI

Transitioning from film-based imaging to integrated digital workflows helps healthcare providers reduce recurring costs, improve access to medical information, and streamline radiology operations.

Through SotaMed PACS-AI, SotaTek supports hospitals and healthcare providers in modernizing medical imaging infrastructure, connecting existing hospital systems, and introducing AI-assisted workflow capabilities.

Contact us to explore how SotaMed PACS-AI can support your hospital's digital transformation journey.