“Earlier, teleradiology companies were built small and stayed small. “There are some cases that make me realize how incredible my profession can be."ĥCN’s product-first approach is what differentiates it from earlier teleradiology companies. As expected, she said that she was a regular pork eater," says Dr Kushagra Garg in the blog post. “The fact that I had seen cases like this from this geography-where pork is commonly eaten-allowed me to zero in on the diagnosis. Then a second set of contrast-enhanced CT scans revealed there were tapeworms in the brain. It turned out that she felt weak and had a seizure right before the fall. He consulted a doctor on the platform who asked to be connected to the patient to elicit more details. But the radiologist had a “Spidey sense" that there was “something off" in this case. This was a standard trauma case where the assigned radiologist reported a “non-haemorrhagic contusion with haemorrhagic focus", which in ordinary language means an injury to the brain with a little bleeding. Take the case of a woman who fell off a bike, as described by a doctor on the 5CN blog. Instead of only being deployed on the systems of hospitals that are clients of Qure, its products have now become available to a much larger network of radiologists on the 5CN platform.Įase of communication on the network’s user interface also facilitates consultation between doctors and radiologists. One of these is Mumbai startup Qure, whose FDA-approved AI product qER helps emergency room staff take action faster on CT scans of the brain. Radiology AI companies can plug into the 5CN platform not only to scale up their business but also to test and validate their models on massive data. “Our platform is basically three parts: we are a system of record, we offer on-demand access to radiologists, and these specialists are aided by multiple AI models that help them to be faster and more accurate," adds Sivasailam. The platform approach brought together three aspects of radiology that were being digitized-storage and retrieval of images which used to be siloed, teleradiology, and the application of AI to diagnosis. We could not have done all these things 10 years back when technologies did not exist to run a business like 5CN efficiently," points out Sivasailam. We can build systems that allow radiologists to get notifications wherever they are, and workflows that ensure cases are solved within a particular time, where we know the exact status of a case at any point. “Today, compressions are so good that large images can come quickly to our servers.
Technology has advanced to help the four-year-old startup focus on building a digital health platform.
At the same time, the tech platform helps improve the productivity of radiologists by the speed and efficiency with which it can assign scans and also prioritize them according to the nature of the emergency. It gives access to radiologists wherever they may be based. So 5CN addresses short supply as well as geographical mismatch. Delhi, Gujarat, Maharashtra, Karnataka and Tamil Nadu account for nearly 80% of the radiologists in the country. The National Capital Region has over 2,000 registered radiologists while the whole of Uttar Pradesh has less than 200. This becomes more acute in smaller towns and rural areas where radiologists are scarce. That creates a huge shortage in the availability of specialists to interpret the 750,000 scans performed each day, which works out to 60 cases a day on average for each radiologist. There are around 12,000 radiologists in the country, most of them concentrated in the metros. This tackles the problem of access to a specialist service that is required in most areas of healthcare. So, instead of sending its scans online to a particular radiologist or diagnostic centre, a clinic is putting the scans on a network where multiple radiologists can be tapped for immediate action. This network play is what provides the kind of scale and efficiency that a small teleradiology service cannot match.
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