Optimizing IVF Care with AWS-Powered EMR Deployment

Background

A mid-sized IVF clinic, managing 200+ patients monthly, faced challenges with inefficient workflows, non-compliant patient records, legacy device integration, delayed eClaims, and inaccurate billing. The clinic sought an AWS-based solution to enhance scalability, security, and compliance, leveraging its existing AWS infrastructure.

Target Customer Profiles

• Healthcare Providers:
  • Example: IVF clinics or hospitals needing secure patient record management.
  • Needs: HIPAA-compliant PHI handling, 30% faster workflows, NetSuite integration.
  • Example Persona: IT Director at a 500-bed hospital adopting AWS.
• Telehealth Platforms:
  • Example: Telemedicine providers integrating EMR with billing.
  • Needs: PDPA-compliant records, eClaims automation, and scalability.
  • Example Persona: Clinical Director at a regional telehealth service.
• Research Organizations:
  • Example: Fertility research institutes managing patient data.
  • Needs: Advanced reporting, legacy device support, and cost efficiency.
  • Example Persona: CTO at a research institute with AWS accounts.

Challenge

• Ensure PDPA-compliant patient record management with deep audit logs.
• Integrate legacy medical devices using AWS services.
• Automate eClaims processing and deliver advanced billing analytics.
• Adapt to local standards (e.g., DD-MM-YYYY, SGD/MYR/PHP).
• Enable fast, efficient search across patient records and medical data.
• Optimize application performance through intelligent caching strategies.

Solution

HyScaler deployed an AWS-powered IVF EMR solution using the following services:

• AWS Elastic Kubernetes Service (EKS): Hosted a scalable, Dockerized Angular SPA, ensuring 99.9% uptime with managed node groups and multi-AZ resilience.
• Amazon RDS (MySQL): Designed a scalable database with real-time audit trails, encrypted with AES-256 for PDPA compliance.
• Amazon ECR (Elastic Container Registry): Stored and managed Docker container images securely, enabling seamless container deployment and version management.
• Amazon SQS (Simple Queue Service): Facilitated reliable message queuing for asynchronous processing of medical device data integration via DICOM/HL7 protocols and inter-service communication.
• Amazon S3: Stored secure Consent and Printout forms, integrated with local print label formats for sample tracking.
• Amazon OpenSearch Service: Implemented AWS-managed Elasticsearch for efficient, real-time search capabilities across patient records, medical histories, and treatment data, enabling healthcare professionals to quickly locate critical information.
• Amazon ElastiCache Redis OSS: Deployed AWS-managed Redis for intelligent caching, significantly reducing database load and improving application response times for frequently accessed patient data and session management.
• AWS CloudWatch: Monitored application health, providing alerts for performance and compliance, aligned with CIS v1.4 controls.
• Amazon RedShift and QuickSight: Built a powerful analytics dashboard with customizable reporting, supporting SGD/MYR/PHP currencies.
• AWS IAM and Security Hub: Enforced least-privilege access and generated CIS v1.4 compliance reports, ensuring robust security.
• GitLab CI: Implemented continuous integration and deployment pipeline for automated code testing, building, and deployment to EKS clusters.
• Prescription Automation: Integrated Mdtoolbox/NetSuite API for automated prescription management, streamlining medication ordering and inventory synchronization.
• Statements Automation: Implemented Postgrid API integration for automated patient statement generation and delivery, reducing manual administrative overhead.
• Patient Portal: Developed comprehensive patient engagement solutions including web-based portal and native Android/iOS mobile applications, enabling seamless patient-clinic communication, appointment scheduling, and access to medical records. The solution incorporated local features like DD-MM-YYYY formatting, e-wallet payment support, and enhanced patient engagement through multi-platform accessibility.

Why AWS & HyScaler

AWS provides a robust, scalable infrastructure with services like EKS, RDS, SQS, OpenSearch, and ElastiCache, ensuring high availability, security, and compliance for the IVF EMR solution. HyScaler complements this with its expertise in tailoring AWS deployments, implementing CI/CD pipelines with GitLab CI and ECR, integrating legacy systems through message queuing, optimizing search and caching strategies, and delivering regionally optimized features, driving operational efficiency and patient care excellence.

Customer Engagement Process:

• Structured 12-week engagement (Scope-Define-Implement-Deliver-Conclude).
• Scope (Weeks 1-2): Defined IVF workflows, PDPA compliance, and infrastructure needs via kickoff and surveys.
• Define (Weeks 3-4): Designed EKS architecture, RDS schema, and CIS v1.4 plan; gained customer approval.
• Implement (Weeks 5-8): Deployed Dockerized Angular/PHP on EKS, configured RDS/CloudWatch, tested for 99.9% uptime, with feedback via support tickets.
• Deliver (Weeks 9-10): Conducted UAT and training on Angular, RDS, and eClaims; delivered user guide and compliance docs.
• Conclude (Weeks 11-12): Handover to customer IT with 30-day support; final feedback via closure meeting.
• Post-Handover: Quarterly check-ins to assess impacts (e.g., 25% billing error reduction).

Delivery Mechanisms:

• Deployment: On-premise Docker installation of Angular SPA; AWS EKS/RDS provisioned in customer accounts.
• Training: 2–3 sessions on Angular operation, RDS management, and billing analytics (Week 10).
• Documentation: User guide, compliance reports (HIPAA, PDPA, CIS v1.4), and handover report.
• Support: 30-day post-handover support via techteam@clients.nettantra.com, escalated to Technical Consultants.
• Monitoring Tools: CloudWatch, New Relic, and QuickSight for health checks.
• Secure Access: Cross-account IAM roles for HyScaler access, with MFA and CloudTrail.

Team Expertise:

• Technical Consultants: Expertise in EKS, RDS, and CIS v1.4.
• Full Stack Developers: HIPAA certified, skilled in Angular, PHP, and DICOM integration.
• Project Managers: Coordinate engagement, feedback, and risk mitigation.

Technical Capabilities and Experience:

• AWS Expertise: 5+ years deploying AWS solutions; 10+ healthcare projects using EKS, RDS, and Lambda.
• Application Proficiency: 3+ years developing Angular/PHP EMR systems, achieving 30% workflow efficiency.
• Compliance Track Record: 100% success in HIPAA and PDPA audits for healthcare clients, validated by Security Hub.
• Customer Success: Deployed EMR solutions for 8 mid-to-large healthcare providers, with ≥90% satisfaction.
• Certifications: Team holds 15+ AWS certifications (Solutions Architect, Developer, Security Specialty).

Results

• Workflow Efficiency: Reduced patient processing time by 30% (from 10 to 7 minutes) with EKS’s scalable orchestration.
• Search Performance: Achieved sub-second search results across patient records using OpenSearch Service, improving clinical decision-making speed by 45%.
• Application Performance: Reduced average page load times by 60% through ElastiCache Redis OSS caching, enhancing user experience for medical staff.
• Compliance: Achieved 100% PDPA compliance with encrypted RDS and CloudTrail audit logs, validated by Security Hub.
• Device Integration: Automated data capture from medical devices, saving 12 hours/week using SQS message queuing for reliable data processing.
• eClaims Automation: Cut claim processing time by 40% (from 5 to 3 days) with automated Claim MD API integration.
• Billing Accuracy: Reduced billing errors by 25% with RedShift and QuickSight analytics, enhanced by local currency support.
• Local Adaptation: Delivered DD-MM-YYYY formatting and multilingual capabilities, boosting patient satisfaction by 35%.
• Prescription Management: Automated prescription workflows reduced medication errors by 40% and cut pharmacy processing time by 2 hours daily through Mdtoolbox/NetSuite integration.
• Statement Processing: Eliminated manual statement generation, saving 8 hours/week and improving patient payment response rates by 25% via Postgrid automation.
• Patient Engagement: Increased patient portal adoption by 80% through web and mobile app accessibility, reducing phone inquiries by 50% and improving appointment adherence by 30%.
• System Reliability: Improved overall system performance and reduced database queries by 50% through strategic caching implementation.

Conclusion

The AWS-powered HyScaler IVF EMR solution transformed the clinic’s operations, leveraging EKS, RDS, SQS, OpenSearch Service, ElastiCache Redis OSS, GitLab CI, ECR, and analytics services. It provided a secure, scalable foundation with optimized search and caching capabilities, reliable message queuing, and automated CI/CD pipelines for future growth and enhanced patient care, demonstrating the power of a comprehensive AWS ecosystem approach.rating the power of a comprehensive AWS ecosystem approach.