Supporting efficient, effective TB screening programmes
The Evangelical Hospital Khariar in Odisha, India, faced a similar challenge to many hospitals in remote, harder-to-reach communities – the need to share
high-quality medical images rapidly to aid identification and treatment of tuberculosis (TB) among its patients.
The hospital was already working with Qure.ai, an artificial intelligence (AI) solution provider, to help identify cases of TB using its algorithm for analysing chest X-rays. But it needed a more efficient, effective way of transferring the digital images from the scanning equipment to Qure.ai and then be able to securely share, store and communicate about those images with colleagues to support the TB screening programme and move patients quickly through the diagnostic process.
Feedback Medical introduced a package of solutions to support the hospital’s TB screening programme. The BleepaBox, a small portable workstation that connects to imaging machines, transfers the images taken from the X-ray machine and automatically pushes them to Bleepa over a mobile network. Bleepa, our clinical-grade imaging communications platform, then enables the hospital’s clinicians to share, annotate and comment on the X-rays.
Bleepa also connects with Qure.ai’s AI platform so the images can be processed and interpreted, returning the results within a matter of minutes. This helps the radiologist to triage the scan and flag any abnormalities which would indicate a TB diagnosis.
The images are stored in Feedback Medical’s secure cloud architecture – CareLocker – to enable access to the images from multiple locations. The hospital clinicians can share any scans within Bleepa for further specialist advice and guidance, where needed, for any more complex cases.
The pilot is also delivered in partnership with Amazon Web Services, which supports the cloud services to the hospital with its technology and contributed to funding via its Diagnostic Development Initiative.
The installation of the Bleepa solutions on site has led to a more efficient, streamlined process for identifying patients that indicate positive results for TB.
Nearly 600 patients were screened in the first five months following the launch of the TB screening pilot with the Evangelical Hospital Khariar in March 2022.
Of the 587 patients scanned at the hospital from March to August 2022, 21% came back as indicating positive for signs of TB and were admitted to treatment pathways.
This means those patients identified can begin treatment pathways immediately without diagnostic delays.
With data from the The Foundation for Medical Research, Mumbai, in 2019 suggesting an average delay of 31 days related to diagnosis for TB, cutting this process down to a matter of minutes can significantly reduce overall delays in treatment.