AI-Powered Automated Medical Reporting Platform
Flowrad
Services Provided
Product Type
Industry Type
AboutTheClient
Flowrad is a forward-thinking healthtech company focused on streamlining radiological documentation. Their aim is to simplify and enhance the medical reporting process by leveraging the power of AI, while ensuring accuracy, regulatory compliance, and seamless usability for professionals.
"TechStaunch Software Solutions Pvt. Ltd.'s work helped the client reduce report turnaround time by 50% to 70% and improve reporting consistency and completeness. The team communicated and managed the project excellently. They also provided regular updates and completed milestones on time."
Sanyam K.
Co-Founder & CEO
Helping Flowrad revolutionize radiology with an AI-powered medical reporting platform.
We partnered with Flowrad to design and develop a cutting-edge AI-powered medical reporting platform tailored for radiologists. Built with accuracy, compliance, and security at its core, the platform streamlines the creation of radiology reports through advanced AI models. From concept to deployment, we delivered a scalable, user-friendly solution that empowers healthcare professionals with faster, more reliable documentation driving innovation in medical imaging and reporting.
Understanding the Problem
Flowrad approached us with a mission-critical goal: to build a robust platform capable of generating highly accurate radiology reports through AI. The challenge was twofold ensure the reports adhered to strict medical and compliance standards, and create a system that was secure and reliable, especially when dealing with sensitive patient data. Errors were non-negotiable, and the solution needed to be both scalable and user-friendly.
Transforming Vision into a Secure & Specialized Platform
Our team handled the project end-to-end from discovery and design to full-stack development and AI integration. We built a secure, compliant system with deep attention to report accuracy and platform reliability. Additionally, we introduced a flexible credit-based payment model, allowing radiologists to pay as they go without fixed pricing tiers. Collaboration was tightly managed via Linear and Slack, with regular updates and fast feedback loops to ensure continuous progress.
From Vision to Platform: Crafting a Scalable Radiology Reporting Solution
Throughout our partnership with Flowrad, we applied deep expertise in AI and product development, implemented secure and compliant methodologies, optimized workflows for medical professionals, and delivered a user-centric platform that enhances accuracy, usability, and trust in radiology reporting.
Future Development
The platform is live and functioning successfully, but development is ongoing. We’re currently working closely with the client to roll out new features and enhancements based on user feedback and evolving compliance needs. Our team remains actively involved in refining AI capabilities and ensuring the product stays ahead of industry standards.
User-Driven Feature Expansion
We continue to collaborate with radiologists and medical professionals to introduce new features that directly address real-world reporting needs. Regular feedback loops help prioritize what matters most to users.
Adaptive Compliance Updates
As healthcare regulations evolve, the platform is being continually updated to maintain full compliance with global standards such as GDPR, HIPAA, and region-specific medical guidelines.
AI Accuracy Enhancement
We’re actively refining and training AI models to further improve the precision and clarity of generated radiology reports, reducing manual edits and ensuring diagnostic reliability.
Platform Scalability & Integration
Future updates will focus on expanding the platform's capacity to support more users and integrate seamlessly with hospital systems like EMRs and PACS, ensuring smoother clinical workflows.
Advanced Reporting & Analytics
We're developing tools for in-depth analytics, enabling radiologists and administrators to track performance, identify trends, and improve decision-making through data-driven insights.
Key Technologies
Used
Frontend
Next js
Backend
Node.js, Mongo DB
AI Integration
OpenAI models, Grok, Groq