Revolutionizing Cardiovascular Risk Assessment with AI-Driven Diagnostic Platform

A secure, AI‑driven diagnostic platform that automates cardiovascular risk assessment—from patient data intake and CIMT (Carotid Intima-Media Thickness) ultrasound scan analysis to multi‑level quality control and report generation. Role‑based workflows for technicians, readers, and administrators reduce manual handoffs and accelerate scan‑to‑report times. Built‑in CIMT evaluation and rigorous QA protocols ensure diagnostic precision at scale. End‑to‑end HIPAA‑compliant security safeguards patient data throughout the process. Clinicians gain faster, evidence‑based insights, improving care efficiency and outcomes.

Client

A leading cardiovascular diagnostics laboratory.

Service

Healthcare Workflow & Diagnostic Platform Development

Timeline

3 Years

Goal

Develop an efficient, secure, and scalable platform for cardiovascular risk assessment, enabling automated scan analysis, seamless report generation, and multi-level quality control.

Challenge

The project required building an integrated system capable of seamless patient data management, accurate scan processing, automated report generation, and multi-level quality control.

Key challenges included ensuring regulatory compliance, system scalability, and automation while ensuring diagnostic accuracy and operational efficiency.

Outcome

The platform evolved into a secure, advanced, and scalable AI solution for cardiovascular risk assessment. It streamlined electronic health record (EHR) management, scan uploads, automated report generation, and quality control, leading to improved diagnostic accuracy and workflow efficiency, thus elevating patient care.

Brief

A leading cardiovascular risk assessment laboratory aimed to create a robust and scalable system for managing patient records, analyzing diagnostic scans, and publishing accurate reports. Technostacks partnered with this laboratory to develop a user-friendly, scalable, and high-performance platform that ensures data accuracy, workflow automation, and regulatory compliance while improving operational efficiency for healthcare providers.

Challenges

Data Management: Efficiently processing large volumes of patient records and diagnostic scans.
Workflow Optimization: Automating the scan-to-report process for enhanced operational efficiency.
Quality Control: Implementing robust quality control checks to ensure diagnostic accuracy.
Compliance & Security: Ensuring HIPAA-compliant data security and adherence to healthcare regulations.

Solution

We developed an intuitive and automated workflow system that integrates:

Patient data management for seamless scheduling and reporting.
Scan analysis tool and automated report generation to accelerate diagnosis.
Quality control mechanisms to ensure precision in risk assessment.
Role-based workflows empower sonographers, readers, and workflow administrators to achieve operational efficiency and deliver better care.

Impact

- Efficiency: Reduced manual intervention, significantly accelerating scan-to-report turnaround time.
- Accuracy: Enhanced quality control mechanisms ensure precise diagnostic evaluations.
- Scalability: Seamless handling of patient records at scale without performance trade-offs.
- Security & Compliance: Strict adherence to HIPAA compliance, ensuring data privacy, and patient-provider trust.

The AI-driven diagnostic platform has transformed cardiovascular risk assessment, streamlined clinical workflows, and enhanced diagnostic accuracy while providing a secure and scalable infrastructure for healthcare providers.

86.6%

Client Retention Rate

200+

Delivered Assets

6.4X

ROI of Re-Design