Through deep technical expertise and a scalable delivery model, Orion helps the organization deliver life-changing diagnostic services to patients worldwide.
The client is a global leader in cell-free DNA testing and genetic diagnostics. They partner with Orion Innovation to strengthen and expand their software platforms across genomics, laboratory operations, customer care, and cloud infrastructure.
Challenge
As the organization scales its product offerings and operational footprint, it requires a trusted technology partner to support the rapid development and evolution of its software ecosystems, ensuring innovation, operational efficiency, and regulatory compliance across clinical, laboratory, and customer-facing systems.
Solution
Orion Innovation provides integrated software development and platform engineering services across four critical domains:
1. Genomics Software Development
- Develops and optimizes secondary analysis pipelines for NGS (Next-Generation Sequencing) data, enabling high-throughput, cloud-based genomic data processing for the client’s prenatal, oncology, and organ transplant diagnostic tests.
- Designs and builds tertiary analysis solutions, creating modern, user-friendly software platforms with advanced automation to streamline interpretation, reporting, and clinical decision support.
- Scales bioinformatics pipelines to operate reliably in massive production environments, processing millions of samples with cloud-native architectures on AWS.
- Supports both production-grade and research-driven use cases, enabling rapid innovation while maintaining compliance with clinical quality standards.
- Leverages a broad technology stack including AWS cloud services, Python, Java, modern UI frameworks (such as React and Angular), and industry-leading bioinformatics tools and libraries to build scalable, high-performance, and compliant solutions.
- Laboratory Informatics Software Development
- Contributes to the development of the complete laboratory software infrastructure, supporting the end-to-end lifecycle from order intake to sample processing to result delivery.
- Builds and enhances sample tracking systems, ensuring real-time visibility and traceability of samples as they move through complex laboratory workflows.
- Develops integration solutions for a wide range of laboratory equipment, including sequencers, liquid handlers, and other automated instruments, enabling seamless data capture and process automation.
- Helps design and scale highly automated, modern laboratories operating across multiple locations, supporting high-throughput clinical testing at industrial scale.
- Delivers robust, scalable, and compliant software systems to support the rapid growth and operational excellence of the client’s laboratory operations.
- Leverages a modern technology stack including AWS, Java, Kafka (for event-driven architecture), relational and NoSQL databases, and laboratory instrument integration protocols to deliver reliable, scalable, and compliant solutions.
3. Customer Care Software Development
- Designs and builds a seamless, end-to-end customer experience across multiple digital channels for both clinical providers and patients taking the organization’s genetic tests.
- Develops and enhances portals, mobile applications, customer support chatbots, and billing platforms that streamline the entire journey from test ordering to education, tracking, result delivery, consultation, and payment.
- Builds a robust billing infrastructure that maximizes revenue capture for the client while providing patients with flexible, user-friendly payment options, including insurance integration and direct payment flows.
- Integrates solutions with industry-standard Electronic Health Record (EHR) systems to ensure a seamless, efficient experience for healthcare providers ordering and managing the client’s tests.
- Develops Generative AI solutions to automate multiple business processes, improve operational efficiency, and enhance both provider and patient engagement.
- Focuses on delivering a modern, intuitive, and compassionate healthcare technology experience that sets a new standard in the genetic testing space.
- Leverages a diverse technology stack including AWS, Node.js, Java, React, Swift for web and mobile apps, chatbot platforms, GenAI frameworks, and EHR integration standards like HL7 and FHIR.
4. Cloud Infrastructure and Platform Engineering
- Augments the organization’s platform engineering and DevOps teams by providing development, automation, and cloud optimization services that accelerate software delivery and operational excellence.
- Provides expert AWS consulting to optimize cloud architecture, governance, and cost management, achieving significant savings across a multi-million dollar annual AWS spend.
- Automates infrastructure provisioning, deployment pipelines, and CI/CD processes, improving software development velocity, consistency, and system reliability.
- Introduces Infrastructure as Code (IaC) practices, containerization (Docker, Kubernetes), serverless architectures, and microservices patterns to modernize application deployment and scalability.
- Enhances monitoring, alerting, and incident response frameworks to ensure high system availability, performance, and operational transparency across mission-critical services.
- Enables rapid scaling of cloud environments to support growing laboratory operations, data processing needs, and new product launches, while maintaining strict security and compliance standards.
Key Technologies: AWS Cloud Services | NGS Bioinformatics Pipelines | Java, Python, React, React Native | Kafka, Kubernetes, Docker | Infrastructure as Code (Terraform, CloudFormation) | HL7, FHIR EHR Integrations | GenAI Solutions | Laboratory Instrument Integration Frameworks
Impact
- Accelerated Innovation: Helps the organization deliver new products, capabilities, and services faster than ever before.
- Scalable Operations: Supports massive growth in testing volumes and laboratory automation across multiple sites.
- Optimized Cloud Spend: Delivers cost savings and improved efficiency through AWS cloud architecture optimization.
- Enhanced Patient and Provider Experience: Powers seamless, intuitive interactions across the entire clinical and patient journey.
- Trusted Strategic Partnership: Continues to serve as a long-term technology partner, empowering the client’s mission to transform healthcare through advanced genetic testing.
Related Links
See how you can modernize without added risk or complexity.
Schedule a consultation
Your questions,
answered.
Genomics software development is the creation of software that processes, analyzes, and interprets genetic sequencing data. It supports workflows such as next-generation sequencing (NGS), clinical reporting, and decision support, helping laboratories deliver accurate genetic test results while managing large volumes of genomic data efficiently.
Cloud infrastructure provides the scalability, reliability, and computing power needed to process large volumes of genomic data. It also supports automated deployments, secure data management, and high system availability, enabling healthcare organizations to expand testing capacity while maintaining regulatory and operational requirements.
Laboratory informatics software digitizes and connects laboratory workflows from sample intake to result delivery. It enables real-time sample tracking, automates instrument integration, and improves data accuracy, helping laboratories increase throughput, reduce manual work, and maintain traceability across complex testing processes.
EHR integrations allow healthcare providers to order tests, access results, and manage patient information without switching between systems. Standards such as HL7 and FHIR help ensure consistent data exchange, improving clinical workflows and reducing administrative effort for providers and healthcare organizations.
AI can automate routine interactions, answer common questions, and streamline administrative tasks such as appointment support and billing assistance. In healthcare, AI-powered tools can improve response times, enhance patient engagement, and free staff to focus on more complex clinical and customer service needs.
DevOps and Infrastructure as Code automate application deployment and infrastructure management using repeatable processes. This reduces manual errors, accelerates software releases, improves system consistency, and helps organizations scale applications more efficiently while maintaining security and operational reliability.
Healthcare organizations should modernize digital platforms when legacy systems limit scalability, slow product development, or make regulatory compliance difficult. Modern platforms support cloud-native applications, automation, and integrated workflows that can better accommodate growing data volumes and evolving healthcare services.
Platform engineering provides standardized infrastructure, automation, and operational tools that make software development faster and more reliable. In healthcare, it helps organizations manage cloud environments, improve application performance, support high-volume diagnostic workloads, and maintain secure, resilient systems across multiple services.
