Case Study 13 October 2021 02 min Read

Enterprise Clinical Imaging Platform

Healthcare Application Software Software Testing

Overview

The solution helps radiologists, cardiologists, and research fellows to review the diagnostic images from anywhere, any time. The image processing and rendering are performed at the server-side to reduce the workload at the client end. The solution contains a ZFP (Zero Foot Print) viewer, facilitating streamlined clinical workflows with on-demand image The solution is aimed to help radiologists, cardiologists, and research fellows to review the diagnostic images from anywhere, any time. The image processing and rendering are performed at the server-side to reduce the workload at the client end. The solution contains a ZFP (Zero Foot Print) viewer, facilitating streamlined clinical workflows with on-demand image viewing and interactions. It keeps the protected health information (PHI) off the workstation and is fully compliant with DICOM, HL7, and HIPAA. The solution offers seamless integration with HIS, RIS, and various modality equipment (CT, MRI, etc.).

The customer has a clinical research wing. They wanted to leverage AI and Deep Learning in medical imaging to develop innovative diagnostic workflows. They integrate the clinical research outcomes to their flagship product in an incremental way in shorter release cycles.

Trenser worked as a technology partner for software development with a specialized team converting AI-based clinical research outcomes to viable software implementations. Software development followed IEC 62304 and ISO 13485 practices.

Project Outcome

  • The quality of deliverables significantly improved by adhering to the process model.
  • The customer was able to make more frequent market releases, improving from one to four per year.
  • On-time availability of documentations helped the customer in expediting regulatory approvals.

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