ShippedHealthcare AIRadiology
// product

ScanQueue

An AI radiology worklist that flags suspected critical findings on incoming CT, MR and X-ray studies and orders every read by acuity and SLA — so the sickest patient is read first, not FIFO.

Client:Teleradiology provider (NDA)
Duration10 weeks
ScopeMVP product design and front-end build of the priority worklist and single-study detail experience, backed by a critical-finding detection layer and an acuity-and-SLA prioritization engine.
Team1 product designer, 2 senior front-end engineers, and a fractional clinical PM

// The priority worklist — queue-depth over the shift, critical-flag KPIs, and an acuity-ordered table where the sickest patient is read first, not FIFO.

137Studies triaged live
6Critical findings flagged
24 minAvg report turnaround
3SLA breaches today
01

Overview

ScanQueue gives a reading room an acuity-first worklist instead of a first-in-first-out queue. As imaging studies arrive, the AI reads each one, flags suspected critical findings — intracranial hemorrhage, pulmonary embolism, large-vessel occlusion, pneumothorax — for a STAT read, and re-orders every radiologist's list by acuity and SLA. BuildspaceLabs designed and built the MVP front end: a dark reading-room worklist for shift-wide triage and a per-study detail view with an AI findings panel, a region-of-interest overlay, a priors comparison and a structured report draft — turning a raw stream of studies into a queue a radiologist can trust, with the physician in the loop on every read.

02

Highlights

  • Reads the sickest patient first — critical findings jump the queue instead of waiting behind routine films
  • Every study carries an acuity rank and a live SLA countdown, so nothing quietly breaches
  • Radiologist-in-the-loop: the AI orders the list, the physician reads and signs every study
  • One reading-room view of queue depth, critical findings and turnaround for the whole shift
03

Gallery

04

Outcomes

  • Delivered a production-quality MVP of the priority worklist and study detail view in a 10-week engagement
  • Cut average report turnaround by moving from first-in-first-out to acuity-and-SLA ordering
  • Consolidated detection, prioritization and reporting into a single reading-room surface
  • Established a reusable dark reading-room design system (acuity pills, SLA countdowns, ROI overlays) for the product's next screens
05

Tech Stack

Chosen per constraint, not per habit — the stack shifts with the problem.

Frontend & Mobile
Next.jsReactTypeScript
Data & Infrastructure
PostgreSQL
Backend & APIs
FastAPI · PythonDICOM · HL7 FHIROrthanc PACS
06

Features

  • Priority worklist ordered by AI acuity and SLA, with live queue-depth, critical-flag and turnaround KPIs
  • Critical-finding detection for CT, MR and X-ray, each flag carrying a confidence score
  • Live SLA countdown per study so emergent reads never quietly breach their window
  • Study detail with an AI findings panel — suspected finding, confidence and severity
  • Region-of-interest overlay and auto-registered priors comparison flagging interval change
  • Structured report draft with a recommended next action — the radiologist edits and signs
// live landing page

See ScanQueue as its own site.

Beyond the build, we designed and shipped ScanQueue a standalone landing page — its own look, copy and motion. Here's a live preview; scroll inside it, or open it full-screen.

// more from the lab

A team that ships across the board.

36products in production
8industries served
68+technologies in play

// next

Building something in this space?

A 30-minute call is enough for us to understand your situation and tell you whether we're the right team. Usable version in the first two weeks if we are.