Oncology Decision Support Platform Modernization

CHALLENGE

The client, a US-based healthcare technology company, had developed a platform to support oncologists in selecting the most relevant lab tests and treatment strategies. The product had been growing for six years and had already proven its stability.

However, the platform needed to be modernized to handle new integrations, larger data volumes, and evolving business needs. Our client planned to scale its operations, connect with more laboratories and clinics, and enhance automation for clinical and administrative workflows.

ENGAGEMENT STAGE

Our team joined the project when the platform was expanding quickly – already in its eighth year of active development – and in need of both scalable and functional growth. Because the product was well-maintained and continuously evolving, we were able to focus on modernization rather than recovery.

We migrated the oncology system from a monolithic architecture to a microservices architecture, splitting large modules into independent services for easier management and faster deployment.

The project was extensive and involved several external teams, but CHI Software specialists contributed to all directions: architecture modernization, backend development, integrations, testing, and performance optimization.

TRANSFORMATION

Our work on this healthcare decision support platform modernization changed the way the product evolved. Modular architecture gave the client freedom to add new services independently and scale specific features without downtime. The oncology software modernization also enhanced data synchronization and ensured real-time updates between medical and insurance systems.

Automation became central to daily workflows, thereby reducing repetitive operations for oncologists and administrators. Through this transformation, the platform became a modern oncology decision support tool that was capable of delivering accurate information faster to support confident, evidence-based clinical decisions.

SERVICES PROVIDED

• Data Engineering
• Data Pipeline Development
• Oncology Platform Modernization
• Cloud Migration & Optimization
• Software Testing
• Automation of Reporting and Workflow Processes

DEVELOPMENT TEAM

• Project Manager and Business Analyst
• 6 Technical Leads
• 13 Full-Stack Developers (Java, Kotlin, Angular)
• 7 QA Engineers
• 1 DevOps Specialist

SСALABILITY AND ARCHITECTURE

The platform had reached a stage where scaling became challenging. The team introduced an oncology platform microservices architecture to distribute workloads and support independent service updates, making the system more resilient and flexible.

INTEGRATION AND CONNECTIVITY

Each new clinic and laboratory that was added to the platform used different systems and data formats. The modernization established standardized APIs and connectors, ensuring smooth interoperability within the oncology decision support platform modernization effort

PERFOMANCE OPTIMIZATION

As data volumes increased, response times slowed down. Cloud deployment and optimized database queries improved speed and reliability, forming a key part of the oncology software modernization results.

SECURITY AND COMPLIANCE

Managing patient data required strict adherence to healthcare regulations. The new SSO authorization and encryption mechanisms provided full HIPAA and HL7 compliance.

AUTOMATION AND DATA ACCURACY

Manual operations were replaced with automated pipelines that validate and process data instantly. This change improved accuracy and reduced administrative workload across all connected institutions.

USER EXPERIENCE

A refreshed UI helped doctors access reports and recommendations faster, enhancing usability and supporting clinical decision support in oncology in everyday practice. A user-friendly UI enabled doctors to access reports faster, even on small or low-resolution monitors that may be in healthcare facilities. New components were tested as MVPs and refined based on feedback until the interface felt intuitive and easy to use.

STRATEGY

Modernization followed a structured clinical decision support system (CDSS) upgrade plan that emphasized scalability, data security, and modular development. Our focus was on continuous improvement, while keeping the system online and fully operational during deployment.

DEVELOPMENT PHASES

40% FASTER CLINICAL DECISIONS

Automation and analytics accelerated diagnostic processes and therapy planning. The clinical decision support system (CDSS) upgrade helped doctors access accurate recommendations faster.

30% OPERATIONAL COST REDUCTION

Eliminating manual validation and redundant tests reduced administrative and clinical costs across partner institutions.

25% SCALABILITY GROWTH

The move to microservices improved performance and flexibility. The microservices architecture in the oncology system now supports seamless onboarding of new healthcare partners.

99.9% SYSTEM UPTIME

AWS cloud infrastructure ensures stable performance and uninterrupted access.

45% MARKET EXPANSION

Through oncology decision support platform modernization, the client expanded to new regions and became a trusted provider of advanced oncology technology.

IMPROVED COLLABORATION

Hospitals, insurers, and laboratories now share data in real time, building stronger partnerships through oncology software modernization.

Organizations planning to upgrade legacy oncology software or build a modern oncology decision support tool can rely on CHI Software’s expertise in digital healthcare. Our team has years of experience developing secure, scalable systems that combine innovation, compliance, and usability to support medical professionals in delivering better patient outcomes.

WHAT WE SPECIALIZE IN

• Oncology decision support platform modernization and enhancement of enterprise healthcare systems
• Clinical decision support system (CDSS) upgrade for faster and more accurate diagnostics
• Healthcare decision support platform modernization with scalable cloud architecture
• Integration of laboratories, insurers, and EHR systems into unified healthcare environment
• Oncology software modernization and continuous system evolution
• Microservices architecture in oncology system design for flexible, modular scaling
• Automation and analytics that improve efficiency and accelerate medical decision-making
• Healthcare AI consulting and implementation of intelligent solutions for diagnostics

INDUSTRIES WE SUPPORT

• Healthcare technology providers
• Oncology clinics and hospitals
• Medical research organizations
• Health insurers and payers
• Clinical data analytics companies
• Pharmaceutical and biotech firms