Feedback Medical offers Bleepa imaging-based communication platform to assist coronavirus response

Feedback Medical announced Thursday that it will provide its Bleepa imaging-based communication platform, which enables medical staff to review imaging studies and discuss cases remotely, as a tool to assist coronavirus response. CEO Tom Oakley remarked that "imaging is such a core component of delivering effective care that any remote working solution will need to deliver access to quality images."

The company said Bleepa, which can be accessed from any internet-connected device including phones, tablets, laptops and desktops, provides access to clinical-grade medical images and facilitates instant messaging-based case discussion. It added that as clinicians can use their own devices, no additional hardware is required.

Feedback noted that chest x-rays and computerised tomography scans are key aids to diagnose and manage patients with COVID-19. In addition, radiologists and other frontline clinicians will increasingly need to review cases from home, while emergency and routine workflows will have to adapt as the need to self-isolate rises among NHS staff. The company explained Bleepa is designed to help meet these demands, while also overcoming the "problems associated with trying to scale traditional VPN-based remote access solutions to hospital software."

Meanwhile, Feedback also said that due to "immense workforce pressures" currently facing the clinical frontline, the company and Pennine NHS Trust have decided to pause the Bleepa pilot study, which was evaluating specific clinical workflow applications of the platform. The parties are now looking at options for a wider launch to support the local COVID-19 response at the NHS Trust, and hoping that the solution will eventually be rolled out to other centres.

In related news, recently announced that its red dot algorithm, which it says can detect abnormal chest x-rays including pneumonia "almost instantly," could potentially accelerate the diagnosis of patients with COVID-19 infections. "This is because the algorithm can detect pneumonia as abnormal and this is what COVID-19 patients with poor prognosis have," the company explained.

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