Custom Software Development for a Medical Technology Healthcare Company in Taiwan

Custom Software Development for a Medical Technology Healthcare Company in Taiwan

Client Story

The client is a medical technology company based in Taiwan specializing in the development of advanced diagnostic imaging solutions and healthcare software. With a focus on improving medical imaging accuracy, data interoperability, and patient safety, the company serves hospitals, diagnostic centers, and healthcare professionals across Asia.

Driven by innovation, the organization blends medical expertise with cutting-edge software engineering to deliver products that adhere to global standards such as DICOM, FHIR, and HL7. Their mission is to make medical imaging faster, more accurate, and accessible through cloud-native, interoperable, and AI-assisted technologies.

Business Case

A medical technology company in Taiwan sought a development partner to create a high-performance, full-stack web application that adheres to DICOM industry standards while enabling next-generation medical imaging, AI-driven analytics, and cloud-native scalability. Facile Technolab was chosen through a referral based on its reputation for innovation, Microsoft technology expertise, and cultural alignment.

The resulting solution integrates DICOMweb RESTful APIs, WASM-based Blazor front-end, and event-driven CQRS architecture, providing a secure, scalable, and highly interactive healthcare application.

Challenges

The client needed to modernize and standardize how medical imaging data was stored, retrieved, and visualized across devices and systems. The project posed several key challenges:

  • Inconsistent Imaging Standards: Medical imaging viewers lacked uniform presentation and interoperability.
  • Scalability & Performance: Need for a cloud-native architecture capable of handling large imaging datasets efficiently.
  • Compliance & Security: Sensitive healthcare data required adherence to strict privacy and security standards.
  • Cross-Platform Interoperability: Seamless integration with EHR/PACS systems using modern APIs.
  • Future-Ready Design: The architecture needed to support AI integration and real-time analytics in future releases.

Solutions

Facile Technolab assembled a dedicated team of 2–5 developers to design and deliver a robust, standards-compliant medical web application.

Key Components Implemented

1. Medical Imaging Viewer Standardization (VolView-inspired):
Created a consistent and extensible UI/UX framework for viewing medical images. The viewer supports interoperability with existing EHR and PACS systems while improving usability and learning curve.

2. DICOMweb RESTful APIs and Cloud Storage:
Implemented DICOM-compliant web services with modern database compatibility for storing and retrieving medical images. This design allows smooth communication between systems and faster data access.

3. WASM-based Blazor Application:
Leveraged WebAssembly (WASM) and Blazor to develop a high-performance, full-stack medical imaging platform with client-side image processing, real-time rendering, and secure C# development.

4. Event-Driven Architecture with CQRS:
Designed a Command Query Responsibility Segregation (CQRS) architecture with event sourcing to support scalability, flexibility, and real-time analytics—ensuring the system can adapt to evolving healthcare data needs.

Results

Facile Technolab delivered a modern, scalable, and reliable healthcare application that exceeded client expectations.

Measurable Outcomes:

  • 25% reduction in diagnostic error rates through implementation of advanced quality control measures and analytical tools.
  • 12% improvement in data retrieval efficiency, enabling faster and more accurate correlation of X-ray images.
  • Enhanced patient safety and diagnostic accuracy through better image processing and interoperability.
  • Optimized system performance and responsiveness with scalable event-driven architecture.

Technologies & Tools

Abp.io Blazor DotNET Core

Services

Enterprise Application Development

Client Feedback


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