Overview
A leading imaging player faced challenges managing 13 RIS instances from 5 vendors, inconsistent workflows, system bottlenecks, and scalability issues. To address this, a robust application build-out and secure IAM solution were implemented, along with seamless data migration, system integration, and extensive training. Post-deployment support ensured a smooth go-live, handling legacy system decommissioning and providing operational support.
Challenges
- 13 RIS Instances from 5 Vendors: Managing systems from multiple vendors complicated the standardization of workflows, interfaces, and data structures, making integration into a unified platform highly challenging.
- Heterogeneous Operational Workflows: Inconsistent workflows across the organization led to inefficiencies, and standardizing them without disrupting operations was a major hurdle.
- Performance & Workflow Bottlenecks: Legacy systems suffered from slow processing, image display, and scheduling, reducing productivity and causing operational delays.
- Platform Reliability: Frequent downtimes and system failures jeopardized data availability, with no reliable disaster recovery plan, increasing the risk of data loss.
- Scalability to Support Growth: The existing infrastructure struggled to scale with increasing patient volumes, new modalities, and additional locations, limiting growth. Interoperability Issues: Diverse RIS systems led to fragmented data and inefficiencies, requiring seamless integration into the new platform
Solutions
- Successfully implemented system configurations, creating a robust application build-out and provisioning the necessary environments
- Configured active users and integrated a secure IAM solution, ensuring the safety of user data
- Through multiple iterations of data migration, followed a comprehensive strategy, including inventory, data cleansing, mapping, reconciliation, and dry-run executions to ensure accurate and defect-free data migration
- Post-deployment, validated the success of the migration and ensuring all interfaces and downstream integrations worked seamlessly
- Provided extensive training, covering scheduling workflows, API integration, and technical support
- Facilitated the go-live process by supporting production environments, planning releases, and handling legacy system decommissioning with ongoing operational support during hypercare
Outcomes
- Centralized RIS Platform with unified workflows and data structures
- >99.99% Uptime, minimizing disruptions to patient care
- 2-3x faster image display speeds
- Future readiness for faster acquisitions and business scaling
- Scalability, Interoperability, Security and Compliance
Technologies Used
- AWS
- EPIC
- HL7/FHIR
- AWS RDS
- AWS S3
- API Gateway Lambda
- AI/ML tools
- Sagemaker
- ELB
