Intelligent and serverless, cloud-based infrastructure for medical diagnostic devices

ended

44% of all EU hospitals spend >1 hour per day on repetitive administrative tasks by printing and scanning medical diagnostics data for collection in the patient´s electronic records (EMR). The main reason for this is lack of data transfer possibility from stand-alone systems and failing compatibility of software systems to connect the wide variety of diagnostic hard- and software products. Even when such data transfer software is available, cloud options are not supported and it is too costly to have small players (e.g. hardware producers and clinics) benefit from it. As a consequence, extra manual labour is induced, and potentially crucial data is lost due to the less detailed scans in the EMR. We are Devimetrix S.L. and have launched our Kiversal series in 2019 with the mission to connect all medical diagnostic devices into one medical infrastructure applying IoT approaches. Since then, we have launched a high-connectivity audiometer and are in the process of certifying and launching a spirometer for lung diagnostics. To connect these devices, we are developing KiCloud that forms the basis of our connected approach. KiCloud is a serverless and cloud-based software product that promotes data transfer and processing, and applies deep learning (AI) to support specialists in medical diagnosis. KiCloud is initially offered to the audiologic and respiratory diagnostic market, in which hospitals and audiological centres profit from more efficient healthcare by secure, resilient and fast data handling and processing. As a result, patients benefit from higher quality healthcare and reductions in waiting times and process times due to increased productivity of health professionals. Later, we plan on opening KiCloud up to the entire hospital diagnostics market. Successful deployment of KiCloud by 2022 will result in >15 new positions within Devimetrix and a 15% efficiency boost in medical diagnosis, allowing for dramatic cost and time reductions.