Accelerating Clinical Insight
with AI-Powered Analytics on AWS
The Client is a leading U.S.-based digital health organization that connects verified medical professionals through a secure collaboration ecosystem. Their mission is to improve patient outcomes by enabling clinicians to share real-world cases, access clinical data, and collaborate on evidence-based treatment decisions.
The Opportunity
The Challenge
As the organization’s data volume grew, business teams lacked a self-service way to analyze it. Every reporting request required manual intervention from database administrators (DBAs), delaying decision-making and increasing operational overhead. Furthermore, fragmented tools created inconsistent access controls and prevented teams from adopting AI-driven analytics.
Before modernization, the organization faced:
- Slow insight cycles: Manual reporting took three to five days to complete.
- Rising costs: Over-provisioned infrastructure and redundant BI licensing fees.
- Security risks: Inconsistent IAM policies and siloed data sources.
- Limited innovation: No natural-language querying (NLQ) or automated reporting capabilities.
The Solution
Dualboot Partners built a cloud-native, AI-enabled analytics platform on AWS that unified the client data and gave every team direct, governed access to insights.
Architecture Highlights
- Data Warehouse: Amazon RDS (PostgreSQL) provides a secure, Multi-AZ backbone for structured clinical data with encryption and read replicas for scale.
- ETL & Storage: EC2-based Python pipelines transform data and stage it in Amazon S3 before loading into RDS.
- Analytics & AI: Amazon QuickSight delivers sub-second dashboards powered by SPICE, while Amazon Q for Business enables natural-language querying so non-technical users can ask questions and generate reports instantly.
- Security & Governance: AWS IAM, Secrets Manager, and VPC isolation enforce least-privilege access and HIPAA-aligned data protection.
- Monitoring & Automation: Amazon CloudWatch and Infrastructure-as-Code (Terraform) ensure reliability and repeatable deployments.
AWS Services Used
Amazon RDS (PostgreSQL) | Amazon QuickSight | Amazon Q for Business | Amazon EC2, Amazon S3 | AWS IAM | AWS Secrets Manager | Amazon CloudWatch | AWS Systems Manager | VPC
The Impact
The Results
- 85% faster analytics delivery: Reports that once took up to five days now complete in under 24 hours.
- 100% increase in analytics adoption: 12 business users now self-serve insights without DBA support.
- 40% fewer ad-hoc data requests: Amazon Q for Business allows plain-English querying directly in QuickSight.
- ~14% lower monthly costs: Right-sizing, Savings Plans, and S3 lifecycle policies reduced infrastructure spend.
Continuous Improvement
Dualboot standardized Terraform-based provisioning and CI/CD automation, establishing a repeatable foundation for future AI and data initiatives. This modernization allows the organization to focus on clinical innovation rather than infrastructure management.
