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Accelerating Clinical Insight
with AI-Powered Analytics on AWS

Dualboot Partners helped Healthcasts modernize its data analytics with an AI-powered platform on AWS—enabling faster insights, stronger security, and scalable growth.
See Our Impact

Healthcasts is a New York–based digital health company that connects verified physicians and healthcare professionals through a secure collaboration platform. Its mission is to improve patient outcomes by helping doctors share real-world cases, access clinical data, and collaborate on evidence-based decisions.

The Solution

Dualboot Partners built a cloud-native, AI-enabled analytics platform on AWS that unified Healthcasts’ 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 Businessenables 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.
  • Improved reliability and compliance: Multi-AZ design, centralized IAM, and continuous monitoring align with AWS Well-Architected best practices.

Continuous Improvement

Dualboot standardized Terraform-based provisioning, CI/CD automation, and DevOps ownership across all Healthcasts environments—laying a repeatable foundation for future SMB clients adopting AWS data and AI solutions.

“The combination of QuickSight and Amazon Q for Business gave our teams the power to explore data on their own—turning what used to be days of work into a few clicks.”
Max Baumer
COO & CFO