Cardiovascular AI Workflow Optimization - Joint Editing

Project Overview

Brief Description: Allows an analyst user to segment the wall and lumen of the cardiac arteries concurrently, to gain significant time improvements in the workflow.

Key Details

Timeline: 2024 - 2025
Company/Organization: Elucid Bioimaging
Your Role: Senior Manager - Product
Team Size: 2 engineering scrum teams, 1 advanced research team, 1 imaging team, 2 UX designers, 2 product owners, regulatory, clinical validation

The Challenge

The existing workflow was sequential, analysts edited the wall, then lumen. If minor corrections were needed, then they needed to discard and redo the steps. This was a time-consuming step in the cardiac analysis and caused significant time delays to get a report out to the provider/patient.
Hypothesis: Providing a reference image of a normal pediatric brain will reduce the time taken by a general radiologist to read the pediatric exam by at least 30%.

Key Problems Addressed:

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Your Role & Contribution

Lead Product Manager

TBD

Defined requirements and go-to-market plan for the project

Led a team comprising an architect, a user researcher, a UX designer, two Product Owners and two scrum teams to deliver the project

Collaborated with regulatory, field, and marketing leadership to successfully deliver the project

Solution & Approach

TBD

Technologies & Methods Used:

Technology Stack: Python, C#, DICOM Imaging, AWS
Methodologies: Agile/Scrum, Human-centered design, Clinical validation protocols
Tools: Jira, Confluence, Figma, MS Power Point

Key Outcomes & Impact

TBD

Challenges & Learnings

TBD

Regulatory & Compliance Considerations

TBD
No 510k submission needed, just letter to file.

Cardiovascular AI Workflow Optimization - Joint Editing of wall and lumen