Case Studies

Real outcomes from real care teams

From regional hospitals to rural telehealth networks, see how WhenAIGo turns clinical AI into measurable results — faster diagnoses, earlier alerts, and time given back to clinicians.

500+
Hospitals onboarded
41%
Avg. faster turnaround
−33%
Avg. readmission drop
2 wks
Typical time to live
Selected Work
Care teams already running on WhenAIGo
A snapshot of deployments across diagnostics, monitoring, and clinical operations.
Radiology
Meridian Regional Hospital

Deployed AI diagnostics across CT and MRI reads to cut the radiology backlog and surface critical findings sooner.

41%
faster
scan turnaround
ICU & Wards
St. Aldous Health System

Continuous AI vitals monitoring across 9 wards flagged deteriorating patients before manual rounds caught them.

2.7x
earlier
sepsis alerts
Predictive
Coastline Care Network

Readmission risk modelling let care teams target follow-ups at the patients who actually needed them.

−33%
30-day
readmissions
Operations
Brightway Children's Clinic

Workflow AI took over scheduling and clinical documentation, giving clinicians their evenings back.

6 hrs
saved per
clinician / week
Radiology
Northgate Imaging Group

A multi-site rollout standardised reporting quality and shaved days off the referral-to-result loop.

98.4%
diagnostic
agreement rate
Remote
Verda Rural Telehealth

AI triage extended specialist coverage to remote clinics that previously waited weeks for a consult.

5,200+
remote consults
handled / month
Featured Story
How Meridian Regional cleared its radiology backlog
A 400-bed hospital was losing critical hours to a growing imaging queue. WhenAIGo went live in under two weeks.

From a 3-day reporting queue to same-day reads — without adding headcount.

Meridian integrated WhenAIGo directly into its PACS. AI pre-reads now prioritise the worklist by acuity, so the most urgent scans reach a radiologist first while routine studies are triaged automatically.

  • Critical findings escalated within minutes, not hours
  • Radiologists kept full sign-off on every read
  • Live in 11 days with zero workflow disruption
Results after 90 days
41%
Faster average scan turnaround
3 → 0.5 days
Reporting queue length
99.1%
Clinician acceptance of AI priority sort

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