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IndiaHealthcare and life sciences2018 – ongoing

Baran District Hospital

AI chest X-ray triage for suspected tuberculosis

Baran's TB notification rate rose to 90.14% after qXR deployment, according to Qure.ai

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Problem

Hospital staff faced heavy screening workloads and delays in diagnosing tuberculosis. Patients traveling from remote villages risked dropping out before diagnosis and treatment.

Approach

Baran District Hospital deployed Qure.ai's qXR in 2018. The system analyzed chest X-rays and flagged suspected TB cases for further testing. Staff used it within the hospital's daily triage workflow.

Results

90.14%TB notification rate, up from 67.8% within months of deployment, per Qure.aiVendor case study[1]
nearly 3 daysreduction in treatment enrollment time reported by Qure.aiVendor case study[1]

Takeaway

The deployment connected faster screening with referrals for confirmatory tests. Its reported benefits extended to treatment enrollment time.

Categories

Business function
Production and quality
Innovation type
Process innovation
AI technology
Computer vision
Evidence
Vendor case study

Sources

  1. Streamlining TB Diagnostics in Baran, Rajasthan (India)
    Qure.ai24 Aug 2022Vendor publication

Source summaries

[1]Qure.ai24 Aug 2022

Qure.ai described the hospital's use of qXR to triage suspected TB cases for additional testing. It reported notification rates increasing from 67.8% to 90.14% and treatment enrollment occurring nearly 3 days sooner.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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