November 2024

Case Study: CadFlow Implementation at MSWiA Hospital in Rzeszów

Background

MSWiA Hospital in Rzeszów, a leading state medical institution, has long been committed to advancing patient care through innovative medical technologies. In March 2024, the hospital’s cardiology department integrated CadFlow, a cutting-edge solution developed by Autosymed, into its clinical workflow to enhance diagnostic precision and efficiency.

Hospital and Department Overview

The cardiology department at MSWiA Hospital specializes in treating patients with coronary artery disease, congenital and acquired heart defects, arrhythmias, pulmonary embolism, hypertension, and circulatory failure.

Challenge

Cardiologists at MSWiA Hospital sought a highly accurate and automated tool to improve the assessment of coronary artery disease, particularly through the Syntax Score—a crucial metric for evaluating the complexity of coronary lesions. Traditional methods relied on manual calculations, which could be time-consuming and prone to variability. The hospital required a reliable, efficient, and precise solution to support medical professionals in making informed treatment decisions.

 

Solution

CadFlow, an advanced AI-powered medical system developed by Autosymed, provided an automated and highly accurate means of aiding physicians with Coronarography analysis, including the Syntax Score calculation. The software leverages patented sophisticated algorithms to analyze patient angiographic data efficiently, reducing diagnostic uncertainty and improving workflow efficiency.

Key features of CadFlow include:

  • Automated Syntax Score Calculation: Reducing manual workload and improving diagnostic accuracy.
  • Patient treatment : Automated support in treatment proposal
  • Advanced AI Algorithms: Enhancing precision in coronary assessments.

Results

Since its adoption in March 2024, CadFlow has significantly improved cardiology diagnostics at MSWiA Hospital:

  • Enhanced Accuracy: The system’s precision in Syntax Score calculation surpasses 96%, significantly reducing the risk of misdiagnosis.
  • Time Efficiency: Automated analyses streamline the process, allowing doctors to allocate more time to patient care.
  • Clinical Confidence: Physicians report increased confidence in their assessments, leading to more informed treatment decisions.

 

Leveraging Microsoft Azure for Scalable AI Services

Through Microsoft Founders Hub, Autosymed has gained access to technical support, cloud credits, and a suite of Azure-native services that have become integral to CadFlow’s architecture and performance.

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