Origin Medical Exam Assistant: Building Real-Time Guidance
Redirected a clinical AI product toward real-time image acquisition support.
- Clinical AI
- Product Discovery
- Real-Time Guidance
- Workflow Research
Nitin C
Product Manager at Origin Medical Research Lab
From their time as
Product Manager
Origin Medical Research Lab • 2026
Overview
Nitin redirected Origin Medical's flagship product from post-processing analysis toward real-time image acquisition guidance. The platform reached 10+ US enterprise deployments and cut task time by about 50% in usability studies.
The Story
Nitin joined Origin Medical when its clinical AI concept centered on analyzing ultrasound images after acquisition. Through early interviews and workflow shadowing, he found substantial opportunity inside the acquisition workflow itself, where sonographers had to coordinate image quality, frame selection, measurements, annotations, and documentation.
He proposed a real-time guidance product that could support those decisions during the scan. He used simulated workflows with sonographers and physicians to test whether this direction addressed a meaningful clinical need.
The demonstrations produced strong user demand, and Nitin added workflow evidence by reviewing scan recordings. He examined how quickly users acquired acceptable images, which anatomical views had been captured, and when an exam could be completed.
He translated that evidence into a product case spanning user value, technical feasibility, latency, and differentiation. Working with AI, engineering, and leadership, he helped commit the roadmap to real-time assistance and expanded the product across multiple clinical workflows.
The resulting platform moved from first interviews to 10+ live US enterprise deployments. LinkedIn reports about 50% faster task completion, a 25% usability improvement across releases, and a 30% reduction in inter-operator variability.
Ownership Snapshot
Broad role
Owned product discovery and development for a clinical AI workflow.
Goal
Reduce the effort and variability involved in acquiring ultrasound images.
Direct ownership
Led interviews, workflow shadowing, concept validation, roadmap framing, and usability testing.
Team execution
Worked with AI, engineering, clinical users, and leadership to validate and build the product.