AI-enabled predictive analytics and risk assessment in healthcare
The first AI-based Russian software in healthcare officially registered as a medical device
Reduction of the morbidity and mortality via identification and epidemiological monitoring of high-risk patients
Reduction of medical errors and time of EHR analysis as well as personal recommendations for disease prevention
Additional competitive advantages due to powerful artificial intelligence in the evaluation of patient medical data
Improvement of operational efficiency and scientific research
Reduction of the cost of patient care and insurance claims
While working with electronoc health record (EHR) a physician can send a reguest tо the CDSS. Then de-identified electronic health records are sent to Webiomed for analysis.
WEBIOMED identifies risk factors and predicts the likelihood of complications or even death of a patient. It generates individual recommendations for disease prevention.
The answer is send to the information system that has requested the data analysis. The user can see the result in the EHR.
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Webiomed, the predictive analytics platform based on machine learning has got the status of an “Other Information System”
Artificial intelligence will help doctors to diagnose more precisely
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К-SKAI Company has attracted more than $1,8 million of private investment for the Webiomed project development and expansion to international markets.
Webiomed, a resident of Skolkovo has attracted more than $1,8 million of private investment
The pilot implementation of the clinical decision support system has been completed in medical organizations of the Kirov region of Russia. The developers have carried out two scientific studies, analyzed the results and the effectiveness of the system. According to the governor of the Kirov Region, the implementation of the pilot project was the first step to the healthcare of the future, which will focus on early detection of diseases and saving human life with the use of artificial intelligence.
Artificial intellegence is being used in the healthcare of Kirov region
The introduction of CDSS in clinical care raises a number of legal challenges for healthcare providers and developers of artificial intelligence systems in Russia and around the world. The first regulatory documents have already been adopted, but the legislation in this area is still at the formation stage. Alexander Gusev, Chief Business Development Officer of Webiomed, spoke about the process of CDSS registration.
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Roszdravnadzor has registered the Webiomed clinical decision support system as a medical device. It became the first software product with artificial intelligence that has passed technical and clinical trials and received permission for use in Russian hospitals and clinics. The Webiomed system was developed by the K-SkAI Group of Companies, a resident of the Skolkovo Foundation.
Artificial intelligence from a Skolkovo resident was registered as a medical device
Artificial intelligence identified 67 people who needed additional examination and treatment. As it turned out, AI found that these people had a very high risk of heart attack or stroke. Now doctors are conducting in-depth examination and treatment of these patients. That is, the use of Webiomed made it possible to identify those who need additional attention from doctors.
AI will help Yamal physicians to identify dangerous diseases at an early stages
In early 2019, the Association of Developers and Users of Artificial Intelligence in Medicine "National Medical Knowledge Base" conducted a pilot project in the Yamalo-Nenets Autonomous Okrug, testing two products - the Webiomed system of the K-MIS company (for prevention of cardiovascular diseases) and the Botkin AI of the Intellogic company (to search for foci of the disease using CT of the lungs).
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Yamal became the first large platform for testing artificial intelligence in medicine in Russia. The results have amazed specialists: in just two and a half months, the machine mind examined 30 thousand electronic health records of the hospital in Muravlenko town, which is almost the entire population of the town.
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In clinical trials, the robot analyzed nearly 30,000 of the hospital's electronic health records. In fact, this is almost the entire population of Muravlenko, which has 32 thousand inhabitants. In a third of cases, patients with a high and very high risk of developing cardiovascular diseases were identified. Now doctors are inviting them for an in-depth examination.
Artificial intelligence has examined 30,000 patients
In Yamal, two projects have been implemented at once to introduce a clinical decision support system into clinical practice in oncology and preventive medicine. Artificial intelligence is unable to make a diagnosis, but it helps doctors notice neoplasms at an early stage when they are treatable, and suspect a high risk of heart ailments. So, out of 600 images of Yamal patients processed by the system, 45 people were suspected of having an oncological pathology. In the Muravlenko town hospital, after processing 30 thousand electronic health records, following the results of medical examination, it turned out that a third of them have a high risk of developing cardiovascular diseases. The obtained results are very useful to further reduce morbidity and mortality from CVDs.
Yamal is among the pilot regions that began to implement AI in healthcare
A Research and Practice conference dedicated to the topic of artificial intelligence in medicine has ended in Salekhard. Its implementation in the industry has been actively discussed over the past few years. Experts, developers, and big names of science gathered in Salekhard to discuss aspects of applying AI in practice.
AI will help Yamal physicians to identify dangerous diseases at early stages
Clinical decision support systems based on artificial intelligence should be actively implemented throughout the entire healthcare industry in the Arctic region. This proposal was the result of the discussion of the pilot project results at the "Artificial Intelligence in Medicine" Research and Practice conference held in Salekhard.
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For the pilot project, a hospital in Muravlenko town was selected, where there is a large database of electronic medical records and an information system that can adapt to work with artificial intelligence. AI was able to process electronic health records of the entire hospital population (25 thousand patients) in just 123 hours or about 5 days. The average processing time for 1 patient ranged from 30 seconds to 2 minutes (depending on the volume of the EHR).
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Artificial intelligence in Muravlenko has helped to identify dozens of patients to risk groups. The pilot project of artificial intelligence in Yamal was launched in Muravlenko in December 2018, the actual work was carried out for three months. During this time, the city hospital was connected to the artificial intelligence system, there are first results.
Artificial Intelligence in Muravlenko town helped to detemine dozens of patients at risk
At the end of last year, the Muravlenkovo hospital was connected to the artificial intelligence system. More than 1 300 thousand medical electronic documents of twenty-five thousand citizens were processed. Based on the data, patients at risk for cardiovascular diseases were identified. Many of them were previously not registered and did not come to the hospital.
The "Artificial Intelligence in Medicine" Research-to-Practice conference was held in Salekhard
April 3, 2020: The Federal Service for Surveillance in Healthcare of the Russian Federation (Roszdravnadzor) has approved Webiomed CDSS as a medical device.
Webiomed won the Breakthrough of the Year nomination in the Digital Health Awards. It is a Russian award for the best achievements in the field of digital medical technologies.
Startup Rally is a competition for innovative developments in the field of new drugs and medical devices, which was organized at the initiative of the Ministry of Industry and Trade of Russia.
According to the results of the competition, K-SkAI took second place in 'Safety of medical devices for the benefit of people' contest.
The purpose of the competition is to find innovative solutions in the field of automation, optimization and digitalization of various aspects of medical care, which are ready for implementation and distribution, in order to achieve the objectives of the National Technological Initiative.
The special 'Personalized Medicine' category was established in partnership with Roche.
Webiomed project was among the three winners of the competition.
The Webiomed project is the winner of the commercial track of the AstraZeneca Skolkovo StartUp Challenge 2020 acceleration program, which was held by the Skolkovo Foundation and the AstraZeneca International Biopharmaceutical Company.
Webiomed became laureate of the 'The best IT Solution for healthcare 2020' of the 'Information Technologies in Medicine 2020' international congress.
The Webiomed system was recognized as the winner in the "Digital solutions for healthcare" nomination of the competitive selection organized by the "Analytical Center for the Government of the Russian Federation" Autonomous Nonprofit Organization together with the Ministry of Digital Development, Communications and Mass Media of the Russian Federation. Webiomed will be included to the Bank of digital solutions and practices recommended for distribution in Russian regions.
K-SkAI, the developer of Webiomed predictive analytics system, was nominated for the award in "Medicine and Health Care" and "Technology Startup" categories.
Webiomed, an artificial intelligence project for healthcare, won the Innovation in Priority Areas category and was recognized as the best idea of the competition. The competition was organized with the support of the Venture Investment Fund of the Republic of Karelia and the Ministry of Economic Development of the Republic of Kazakhstan.
For the Webiomed CDSS in the framework of the international congress #ITM2019
The "Implementation of artificial intelligence systems for medicine" project (Yamal-Nenets Autonomous Okrug) won the "Best Innovative Project" nomination of the PROF-IT.2019 contest.
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