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Project

The decision of the Skolkovo resident has increased the effectiveness of remote monitoring of patients

Customers: M-Line

Moscow; Pharmaceuticals, Medicine, Healthcare

Product: Polymatica ML

Project date: 2023/12  - 2024/06
Project's budget: 163 200 000 руб.

2024: Building an Intelligent Decision Support System

M-Line, a Skolkovo resident, together with the developer Polimatika Rus, completed a project to create an intelligent decision support system for remote monitoring of patient health indicators. The budget for the implementation of the project amounted to 163.2 million rubles. Of these, the Skolkovo grant within the framework of the federal project "Artificial Intelligence" of the national project "Digital Economy of Russia" - 80.4 million rubles. Skolkovo reported this on July 30, 2024.

For the first time in the field telemedicine , the developer Polimatika Rus introduced a mining platform data using methods at M-Line. As machine learning Polymatica ML a result, typical machine learning models have been created that can be used to control and optimize business processes remote monitoring of patient health, control the operational parameters of smart assistant networks with data transmission over wireless channels, as well communications as to improve stability and reliability. medical information systems

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The product uses various artificial intelligence technologies, including predictive analysis, which provides the ability to form recommendations based on the analysis of accumulated data, conduct training and validation of models in a graphical interface, assess the quality of models without testing in a real environment, "said Olga Belikova, Business Process Director LLC" M-Line. "
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For 2022-2023, M-Line managed to reduce the cost of patient care, increase the efficiency of data processing medical algorithms and increase the clinical significance information provided to the attending physician. The development also helped to ensure control over the timely receipt of data from personal medical assistants and identify faulty devices that require decommissioning.

The potential economic effect of the project by 2027 will amount to 206 million rubles, the actual economic effect as of July 2024 is 8 million rubles.

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We understand that many startups need support and our expertise, which will allow us to realize the development potential and bring the product to market. The project "Artificial Intelligence" of the national program "Digital Economy of the Russian Federation" is a kind of springboard for growth in achieving market success, - said Kirill Kayem, Deputy Chairman of the Board of Innovation of the Skolkovo Foundation.
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