Radiology Workflow Cockpit
Cloud-native radiology workflow orchestration.
Year
2024
Overview
A cloud-native radiology workflow orchestration platform that modernizes on top of existing hospital systems (PACS, RIS, EHR) without replacing them. It gives radiologists a unified cockpit that eliminates app-switching, reduces burnout, and integrates AI findings into the interpretation workflow.
Key features
Intelligent Worklist
AI-driven case routing based on clinical priority, availability, and specialty.
Radiologist Cockpit
Unified workspace combining PACS, clinical context, AI findings, and reporting.
AI Clinical Assistant
Retrieves and summarizes EHR patient data the moment a study is opened.
Native Reporting
Structured and dictation-based reports with auto-populated AI findings.
Peer Review & QA
Discrepancy management, technologist QA, critical results tracking.
Phased Adoption
Modular design that adds components without replacing the stack.
Technology
Frontend
React
TypeScriptBackend
Node.js
Express.jsStorage
AWS S3Infrastructure
AI / ML
Integrations
What we built
Built the AI-powered intelligent worklist and clinical assistant for contextual EHR retrieval and summarization at interpretation time.
Developed a high-performance React/Node.js radiology cockpit with real-time PACS/EHR integrations and quality workflow modules.
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