Case Study

CloudPACS

A scalable, cloud-native Picture Archiving and Communication System, built to replace hardware-dependent PACS.

PACS DICOM HL7 Cloud Azure
Zero-footprint Web viewer, no client install
12-person team 10 developers, 2 QA engineers
Full DICOM + HL7 Standards-compliant imaging and orders

Subject & Issue Resolved

Traditional PACS deployments are hardware-dependent, expensive to scale, and hard to access remotely. CloudPACS addresses the need for a scalable, cost-effective, and accessible radiology imaging solution that replaces that model: a cloud-native PACS (with an on-premise option available) that lets healthcare institutions move to a filmless diagnostic workflow with cloud-based accessibility, mobile support, and integrated reporting — while still supporting the DICOM and HL7 standards the rest of the hospital runs on.

What We Built

CloudPACS integrates the core imaging functionality — storage and retrieval of DICOM data and diagnostic reporting — into a modern, filmless workflow aimed at accessibility, scalability, and cost-efficiency for hospitals and diagnostic centers. Scope covered the PACS system itself, order management, cloud-based access, and the reporting system, built to:
  • Support the full DICOM standard.
  • Integrate HL7 for order and result communication.
  • Serve a zero-footprint web viewer — no client install required.
  • Work from mobile devices.
  • Run on a cloud-based architecture built for scalability and redundancy.

Architecture

Multiple hospitals and diagnostic centers connect into a single Azure-hosted backend serving viewer, admin, and reporting apps.

CloudPACS architecture showing distributed hospitals and centres connecting to viewer, admin, and reporting apps in an Azure-hosted platform.
Distributed access converges on a cloud-hosted service layer with access control, clinical data, metadata, and storage.

Usage & Result

CloudPACS is actively deployed in healthcare institutions that need centralized, cloud-based imaging access — particularly:
  • Radiologists requiring remote reporting access.
  • Hospitals aiming to reduce physical storage and infrastructure costs.
  • Centers requiring an integrated DICOM viewer and HL7 workflow.
  • Multi-location diagnostic networks needing unified access to imaging data.
The system has improved reporting turnaround time, made patient data easier to access, and reduced the need for physical infrastructure — aligning with the broader shift toward digital healthcare.

Team & Tech Stack

A cross-functional team of 12 — 10 developers and 2 QA engineers, spanning frontend, backend, database, and DevOps — delivered CloudPACS.
C# .NET Framework 4.8 .NET Core 6.0 React.js Angular Microsoft SQL Server PostgreSQL OAuth 2.0 Azure B2C Microsoft Azure

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