Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of a HIPAA-Compliant Oncology Treatment Platform for Evidence-Based Patient Care
  1. case
  2. Development of a HIPAA-Compliant Oncology Treatment Platform for Evidence-Based Patient Care

Development of a HIPAA-Compliant Oncology Treatment Platform for Evidence-Based Patient Care

itransition.com
Medical

Identified Challenges in Oncology Treatment Data Management and Clinical Decision Support

The client is a healthcare organization involved in oncology care that currently relies on fragmented information systems. They require a unified, HIPAA-compliant platform capable of collecting, managing, and analyzing medical research, treatment data, and clinical trial information to enable timely, evidence-based treatment decisions. Existing preliminary solutions lack comprehensive knowledge base management, automated report generation, integrated clinical workflows, and seamless external system integrations, thereby impacting efficiency and patient outcomes.

About the Client

A healthcare provider specializing in oncology, comprising a network of medical professionals, laboratories, and insurers seeking a comprehensive digital platform to enhance patient treatment decision-making and streamlining clinical workflows.

Goals for Developing an Integrated Oncology Treatment and Decision Support System

  • Develop a scalable and secure platform that consolidates oncology research, clinical trial data, and patient information.
  • Implement modules for medical knowledge base management, including ingestion, structuring, and review of medical research and therapy data.
  • Provide dynamic report generation based on curated research and patient data, supporting clinical decision-making.
  • Create a precision medicine portal enabling clinicians to streamline therapy ordering, coordinate with laboratories, and facilitate insurance authorization processes.
  • Integrate with Electronic Health Record (EHR), Laboratory Information Management Systems (LIMS), and insurance systems to automate data exchange and workflow approvals.
  • Ensure the platform supports high user loads, maintains data security, and complies with HIPAA standards.

Core Functional Capabilities of the Oncology Support System

  • A knowledge base module for storing and curating medical studies, clinical trials, and therapy data, with features for manual and automatic data ingestion from relevant research sources.
  • A report generation engine that creates, reviews, and finalizes diagnostic and treatment reports based on curated data and lab results.
  • A clinician-facing portal that simplifies therapy order creation, incorporates patient and test data, and supports digital authorization workflows with labs and insurers.
  • Integration capabilities with EHR systems, LIMS, laboratory services, and insurance providers using standardized protocols (e.g., HL7, TCP/IP).
  • An analytics dashboard offering in-depth insights across the entire data ecosystem for stakeholders.

Preferred Technologies and Architectural Approaches

Java with Spring framework for backend services
MySQL database for data storage
Single Page Application (SPA) architecture for frontend modules
TypeScript and Angular framework with Angular Material UI components for the precision medicine portal
Microservices architecture to ensure scalability and modularity

Essential External System Integrations

  • EHR systems via API (e.g., HL7 standards) for patient data exchange
  • LIMS systems for laboratory information management
  • Laboratory service providers for test request and result transmission
  • Insurance systems for authorization and claims processing
  • Research source feeds and clinical trial databases via APIs
  • Fax/SMS gateway systems for digital documentation exchange

Key Non-Functional System Requirements

  • Support for high load scenarios handling hundreds of concurrent users
  • HIPAA compliance ensuring data security and privacy
  • Scalability to accommodate future growth in data and users
  • High system availability with minimal downtime
  • Rapid report generation with automation features
  • Secure role-based access controls

Projected Business Benefits and Expected Outcomes

The implementation of this platform aims to streamline oncology treatment workflows, reduce time-to-treatment decisions, and improve clinical outcomes. Anticipated impacts include increased efficiency in research and clinical processes, enhanced data accuracy and security, and better coordination among clinicians, laboratories, and insurers—contributing to overall improved patient care and operational efficiency in oncology practices.

More from this Company

Cloud-Based Microservices Architecture for Automotive Business Intelligence Platform
Untitled Case
Untitled Case
Comprehensive ITSM Optimization and Cloud Migration for Financial Services Platform
Development of an Intelligent Remote Baby Monitoring System with multi-platform Access and Data Analytics