AI-enabled predictive analytics and risk assessment in healthcare

The first AI-based Russian software in healthcare officially registered as a medical device

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Target audience

Whom Webiomed is intended for?

Healthcare managers

Managerial and predictive analytics for morbidity and mortality control

  • Management based on big data and machine learning models
  • Automatic risk stratification of the entire population of the region
  • Prediction of disease development and mortality forecasting
  • Population monitoring of the prevalence of risk factors
  • Control of the appropriate EHR management
  • Monitoring of the achievement of target levels and metrics
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Clinicians

Clinical decision support for the reduction of the burden and decrease of medical errors

  • Clinical Decision Support System (CDSS)
  • Automatic analysis of electronic health records (EHR) using AI
  • Extraction of medical information from unstructured medical records
  • Automatic determination of the likelihood of disease development, identification of risk factors and a final comprehensive assessment of patient’s risk group
  • Identification of suspected diseases (symptom checker)
  • Individual recommendations to physicians and patients based on clinical guidelines
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Pharmaceutical companies

Reduction of the cost of clinical trials by analyzing routine clinical practice data

  • Analysis of real-world clinical data (RWD)
  • Automatic detection of suspicions of various early-stage diseases at, helping physicians in making correct clinical decisions
  • Search for candidates for clinical trials
  • Improving the effectiveness of drug therapy due to accurate identification of high-risk patients
  • Search for unknown disease predictors based on RWD analysis
  • Creation of custom machine learning models
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Research organizations

Development of scientific research in the field of artificial intelligence

  • Participation in joint scientific research in the field of artificial intelligence and digital technologies in medicine
  • Building datasets for research and development
  • Machine learning and custom predictive model development
  • RWD research
  • Implementation of innovative technologies in research and educational activities
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Insurance companies

Reduction of the cost of patient care and insurance claims

  • Automatic assessment of patients' insurance risks (underwriting)
  • Reduced insurance premiums due to personalized assessment of patients' EHRs and more effective prevention
  • Identification of patients at high risk of hospitalization, disability, etc.
  • Building custom machine learning models
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How does it work?

Information gathering


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.

PHYSICIAN ASKS CDSS FOR ADVICE

EHR sends the data set to WEBIOMED

WEBIOMED Identifies risk factors and predicts complications

INDIVIDUAL RECOMMENDATIONS FOR BOTH PATIENT AND DOCTOR

Information analysis


WEBIOMED identifies risk factors and predicts the likelihood of complications or even death of a patient. It generates individual recommendations for disease prevention.

Results on your screen


The answer is send to the information system that has requested the data analysis. The user can see the result in the EHR.

THE RESPONSE FROM WEBIOMED IS SENT BACK TO EHR

YOU CAN SEE THE RESULTS IN THE EHR

Webiomed presentation

Accumulated data

Digital twins

0

Cases

0

Medical records

0

Identified features

0

Publications

Exploring Artificial Intelligence

68

Machine learning based on laboratory data for disease prediction

Gusev A.V., Novitskiy R.E., Ivshin A.A., Alekseev A.A.

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261

The role of artificial intelligence in predicting preterm birth

Ivshin AA, Boldina YuS, Gusev AV.

More
965

Healthcare in the smartphone: the situation in Russia

 Gusev A.V., Ivshin A.A., Vladzimirskiy A.V.

More
1 045

COVID-19 pandemic prediction model based on machine learning in selected regions of the Russian Federation

D.V. Gavrilov, R.V. Abramov,  А.V. Kirilkina, А.А. Ivshin,   R.E. Novitskiy

More
917

Predicting preeclampsia using artificial intelligence technologies

 A. A Ivshin, T. Z. Bagaudin, A.V. Gusev

More
879

Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy

Pavlovskii V.V., Derevitskii I.V., Kovalchuk S.V.

More
1 146

Prevalence of chronic kidney disease according to the CKD Epidemiology retrospective cohort study (Kirov city)

Batiushin M.M. , Kasimova I.S.,Gavrilov D.V. , Gysev A.V., Gulamov A.A.

More
1 273

Ethics and digital: from problems to solutions

Arkhipov A.V., Gusev A.V., Orlova A.A.

More
1 409

Retrospective analysis of electronic health records of patients with heart failure: the first Russian experience

Gilyarevsky S.R., Gavrilov D.V., Gusev A.V.

More
1 270

Artificial intelligence on guard of reproductive health

A.A. Ivshin, T.Z. Bagaudin, A.V. Gusev

More
1 529

Correctness of cardiovascular risk assessment in daily clinical practice

D.V. Gavrilov, A.V. Gusev, A.V. NIKULINA1, T.Yu. Kuznetsova, O.M. Drapkina

More
1 737

Legal regulation of artificial intelligence software in healthcare in the Russian Federation

Gusev AV, Morozov SP, Kutichev VA, Novitsky RE.

More
1 928

Artificial intelligence: predictive analytics of perinatal risks

Ivshin A.A., Gusev A.V., Novitskiy R.E.

More
2 126

Predictive analytics technologies in the management of the COVID-19 pandemic

More
1 894

Algorithm for forming a suspicion of a new coronavirus infection based on the analysis of symptoms for use in medical decision support systems

Gavrilov D.V., Kirilkina A. V.2, Serova L. M.

More
1 892

CARDIOVASCULAR DISEASES PREDICTION BY INTEGRATED RISK FACTORS ASSESSMENT BY MEANS OF MACHINE LEARNING

D. Gavrilov; L. Serova, I. Korsakov,  A. Gusev, R. Novitsky, T. Kuznetsova

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1 883

Adapting neural network models to predict 10-year CVD development based on regional data calibration

I. Korsakov, D. Gavrilov, L. Serova, A. Gusev, R. Novitskiy, T. Kuznetsova

 

More
1 772

Feature Extraction Method from Electronic Health Records in Russia

Gavrilov D., Gusev A., Korsakov I., Novitsky R., Serova L.

More
1 542

Deep and machine learning models to improve risk prediction of cardiovascular disease using data extraction from electronic health records

Authors: Korsakov I., Gusev A., Kuznetsova T., Gavrilov D., Novitskiy R.

European Heart Journal • Volume 40 • Issue Supplement_1 • October 2019
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1 553

Prospects for the use of machine learning methods for predicting cardiovascular disease

Authors: Gusev A. V., Gavrilov D. V., Korsakov I. N., Serova L. M., Novitsky R. E., Kuznetsova T.Yu.

Information technologies for the Physician • №3 2019
More
1 654

Artificial intelligence for cardiovascular risks assessment

Authors: Gusev A.V., Kuznetsova T.Yu., Korsakov I.N.

Journal of Telemedicine and E-Health • №3 2018
More
1 928

The basic recommendations for the creation and development of information systems in health care based on artificial intelligence

Authors: Gusev A.V., Pliss M.A.

Information technologies for the Physician * №3 2018
More
1 860

Artificial Intelligence in Medicine and Healthcare

Authors: Gusev A.V., Dobridnyuk S.L.

INFORMATION SOCIETY* №4 2017
More
1 676

Prospects for neural networks and deep machine Learning in creating health solutions

Authors: Gusev A.V.

Information technologies for the Physician *№3 2017
More
2 124

Clinical Decisions Support in medical information systems of a medical organization

Authors: Gusev A. V., Zarubina T. V.

Information technologies for the Physician * №2 2017
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All Publications

Media about us

Independent opinions about our product

09/06/2021 • Izvestia

By the end of this year, the Electronic Clinical Examination project will be launched in Russia. The project is aimed at diagnosing rare (orphan) genetic diseases. Diseases will be identified on the basis of electronic health records with the application of artificial intelligence technologies.

A project to identify rare genetic diseases using AI will be launched in Russia

20/04/2021 • cnews.ru

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

20/04/2021 • Kommersant

The leader of the Russian market of medical information systems, RT Medical Information Systems (RT MIS, a part of the Rostelecom group of companies) and K-SkAI, a resident of the Skolkovo Foundation, have signed an agreement on cooperation in the field of artificial intelligence.

RT MIS and K-SkAI are launching a smart platform for healthcare

23/12/2020 • RUSBASE

Over the ten years of its existence, the Skolkovo Foundation has changed the domestic market for startups and innovative technologies radically. On the occasion of the Foundation's anniversary, Rusbase talked to four promising residents.

4 Russian startups that are changing our lives right now

19/10/2020 • Republic portal

Specialists of the Republic of Karelia are launching a system that will soon help physicians in any clinic to make correct diagnoses for patients long before the signs of the disease become obvious. Denis Gavrilov, Webiomed Chief Medical Officer and a cardiologist, have spoken about the system.

In the fight against an invisible enemy

22/07/2020 • Skolkovo

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

21/07/2020 • Ministry of Health of the Russian Federation

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

19/06/2020 • EverCare

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.

Experience of the first registration of the WSSP in Russia

11/06/2020 • Skolkovo Foundation

How Skolkovo Ventures helps startups to rebuild themselves in the new business reality

Stanislav Kolesnichenko: Skolkovo Ventures helps startups to rebuild in a new business reality

22/04/2020 • None

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

12/08/2019 • Zdrav.fom

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

12/08/2019 • MIBS

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).

Does Russia have artificial intelligence?

13/07/2019 • Rossiyskaya Gazeta

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.

Can artificial Intelligence replace phycisians?

06/05/2019 • National Technology Initiative (NTI)

Artificial intelligence has increased the detection of risk factors for cancer. The phenomenal result was discussed today by Russian medical big names in Salekhard.

How artificial intelligence can help physicians in their work

10/04/2019 • Rossiyskaya Gazeta

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

10/04/2019 • COMNEWS

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

09/04/2019 • Ministry of Health of Russian Federation

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

09/04/2019 • Yamal government

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.

Yamal government decides to expand AI implemetation

06/04/2019 • Komsomolskaya pravda

Artificial intelligence helps Yamal physicians to detect cancer at an early stage. Since the beginning of 2019, the Webiomed system has been undergoing clinical trials at the Muravlenkovo City Hospital. The first results are very encouraging.

Artificial Intelligence helps Yamal physicians to identify early-stage cancer

05/04/2019 • TOPNEWS

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).

Can artificial Intelligence replace human doctors?

05/04/2019 • SEVERPRESS

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

05/04/2019 • VESTI YAMAL

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

Awards and Achievements

Первый искусственный интеллект для здравоохранения  в России, зарегистрированный как медицинское изделие
The first software using artificial intelligence for healthcare which was registered as a medical device in Russia

April 3, 2020: The Federal Service for Surveillance in Healthcare of the Russian Federation (Roszdravnadzor) has approved Webiomed CDSS as a medical device.

Первое место в российском рейтинге ИИ-стартапов в секторе здравоохранение
Webiomed is a leading Russian startup in the field of artificial intelligence for healthcare

Webiomed machine learning-based predictive analytics and risk assessment platform for healthcare, took first place in the Russian ranking of AI startups in the healthcare sector, according to a study published on the Evercare portal.

Победитель IP Russia Awards 2021 в номинации «Лучший инновационный проект».
None

Лауреат Национальной премии «Приоритет-2021» в номинации «Искусственный интеллект».
None

Победитель премии Healthcare & Pharmaceutical Awards 2021
None

Финалист премии IT Stars им. Георгия Генса 2021
None

Номинант Национальной  премии «Приоритет 2021»
A nominee of the Priority 2021 National Prize

Победитель в категории "Прорыв года" премии Digital Health Awards 2020
Winner in the "Breakthrough of the Year" nomination of Digital Health Awards 2020

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.

Победитель конкурса «Стартап-ралли»-2020 в номинации "Цифровая медицина"
Winner of the Digital Health nomination of Startup Rally 2020

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.

Призер конкурса "Безопасность медицинских изделий - на благо людей"
Prizewinner of the 'Safety of medical devices for the benefit of people' contest

According to the results of the competition, K-SkAI took second place in 'Safety of medical devices for the benefit of people' contest.

Победитель конкурса «Технологии умной клиники»
The winner of the Smart Clinic Technologies competition

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.

Победитель в спецноминации "Персонализированная медицина" от Roche
The winner of 'Personalized Medicine' special category of Roche company

The special 'Personalized Medicine' category was established in partnership with Roche.

Победитель конкурса конкурса инновационных проектов в области здравоохранения Sanofi совместно с Фондом "Сколково"
Winner in the competition of innovative projects in the field of healthcare organized by Sanofi and the Skolkovo Foundation

Webiomed project was among the three winners of the competition.

Победитель коммерческого трека AstraZeneca Skolkovo StartUp Challenge 2020
Winner of AstraZeneca Skolkovo StartUp Challenge 2020

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.

Лауреат конкурса «Лучшее ИТ решение для здравоохранения 2020»
Laureate of The best IT Solution for healthcare 2020 contest

Webiomed became laureate of The best IT Solution for healthcare 2020 of the Information Technologies in Medicine 2020 international congress.

Победитель в номинации «Цифровые решения для здравоохранения»
Winner in the 'Digital Healthcare Solutions' nomination

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.

Номинант Национальной  премии «Приоритет 2020»
A nominee of the Priority 2020 National Prize

K-SkAI, the developer of Webiomed predictive analytics system, was nominated for the award in the Medicine and Health Care and Technology Startup categories.

Победитель конкурса инноваций «100 идей для развития Карелии»
Winner of the '100 ideas for the development of Karelia' innovation competition

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.

Лауреат конкурса «Лучшее ИТ решение для здравоохранения 2019»
Laureate of the 'The best IT Solution for healthcare' contest

For the Webiomed CDSS in the framework of the international congress #ITM2019

Призер в номинации: «Лучший инновационный проект»
Prize winner in the 'Best Innovative Project' nomination

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.

Номинант на гран-при как «Стартап года» премии Digital Health Awards 2019
Grand Prix nominee as the Startup of the Year at the Digital Health Awards 2019

Webiomed CDSS was among the nominees for the Grand Prix of the Digital Health Awards as the Startup of the Year.

Partners

РТМИС
Барс
Нетрика
Реновацио
Фонд "Сколково"
СберМедИИ
Дата МАТРИКС
Med.me
Botkin.ai
КМИС
МИС Поликлиники ОАО Кондопожский ЦБК
Петрозаводский государственный университет
Национальная база медицинских знаний
Центр медицинской профилактики ЯНАО
Национальная технологическая инициатива
ФГБОУВО "Сибирский государственный медицинский университет" Минздрава РФ

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Webiomed management analytics service has been updated

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