AI-enabled predictive analytics and risk assessment in healthcare

Reliable digital physician assistant to identify high-risk patients

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Target audience

Whom Webiomed is intended for?

Healthcare managers

Reduction of the morbidity and mortality via identification and epidemiological monitoring of high-risk patients

  • Automatic risk stratification of patients
  • Disease Prediction
  • Population monitoring for prevalence of risk factors
  • Monitiring of the proper EHR maintenance
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Reduction of medical errors and time of EHR analysis and personal recommendations for disease prevention

  • Clinical Decision Support System
  • Automatic determination of likelihood of disease development
  • Compliance with clinical guidelines
  • Reduction of time to analyze medical data
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Additional competitive advantages due to powerful artificial intelligence in the evaluation of patient medical data

  • Ready-for-use service for evaluation of medical data
  • Improvment of EHR attractiveness in the eyes of doctors and managers
  • Elimination of the need to register MIS (medical information system) as a medical device
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Pharmaceutical companies

Improvement of operational efficiency and scientific research

  • Production of datasets for RWD research
  • Identification of high-risk patients who require prescription of certain drugs
  • Analysis of the clinical practice of drug use
  • Search for unknown predictors in de-identified medical data
  • Machine Learning models production
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Insurance companies

Reduction of the cost of patient care and insurance claims

  • Identification of patients of high risk of disease, disability or treatment in medical organizations
  • Underwriting service for employees of an insurance company
  • Development of 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.


EHR sends the data set to WEBIOMED

WEBIOMED Identifies risk factors and predicts complications


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.



Webiomed presentation

Accumulated data

Digital twins




Medical records



Exploring Artificial Intelligence

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


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.



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


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

European Heart Journal


Feature Extraction Method from Electronic Health Records in Russia

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


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

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

Artificial intelligence for cardiovascular risks assessment

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

Journal of Telemedicine and E-Health • №3 2018

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

Artificial Intelligence in Medicine and Healthcare

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


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

Authors: Gusev A.V.

Information technologies for the Physician *№3 2017

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

Media about us

Independent opinions about our product

23/12/2020 • None


19/10/2020 • portal "Republic"

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 developing the Webiomed project and for 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. The developers have carried out two scientific studies, analyzed the results and the effectiveness of the system.

Artificial intellegence is being used in the healthcare of Kirov region

19/06/2020 • EverCare


11/06/2020 • None


22/04/2020 • None

Artificial intelligence from a Skolkovo resident was registered as a medical device

12/08/2019 • Zdrav.fom

AI will help Yamal physicians to identify dangerous diseases at an early stages

12/08/2019 • MIBS

Does Russia have artificial intelligence?

13/07/2019 • Rossiyskaya Gazeta

Can artificial Intelligence replace phycisians?

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

How artificial intelligence can help physicians in their work

10/04/2019 • Rossiyskaya Gazeta

Artificial intelligence has examined 30,000 patients

10/04/2019 • COMNEWS

Yamal is among the pilot regions that began to implement AI in healthcare

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

AI will help Yamal physicians to identify dangerous diseases at early stages

09/04/2019 • Yamal government

Yamal government decides to expand AI implemetation

06/04/2019 • Komsomolskaya pravda

Artificial Intelligence helps Yamal physicians

05/04/2019 • TOPNEWS

Can artificial Intelligence replace human doctors?

05/04/2019 • SEVERPRESS

Artificial Intelligence in Muravlenko town helped to detemine dozens of patients at risk

05/04/2019 • VESTI YAMAL

The "Artificial Intelligence in Medicine" Research-to-Practice conference was held in Salekhard

About Us

We decided to develop CDSS (clinical decision support system) in summer, 2018.

The idea of creating this system is to support, help physicians and health care organizers in making more effective decision for improving quality of patients care and mortality lessen

We have well -balanced team of the experts in medicine, machine learning and information technologies.

Our goal is to prevent the diseases

Our team

The team of professionals in medicine and IT

Roman Novitsky Chief Executive Officer

Alexander Gusev Chief Business Development Officer, PhD

Andrey Salikov Сhief Сommercial Officer

Denis Gavrilov Chief Medical Officer

Alexander Semenov Head of analytics department, PhD

Anton Kovalyov Team Leader

Ilya Gelzin QA lead

Anna Guseva Advertising manager

Yuliya Pashkova Business analyst

Diana Lungu Business analyst

Michail Kashin DevOps Engineer

Galina Gavrilenko

Scientific ADVISORS

Tatyana Kuznetsova Medical expert, Ph.D

Igor Korsakov Lead Data Science Analyst, PhD in Math & Computer Science

Alexander Ivshin Medical expert

Alexsander Rogov Expert in Mathematical Modeling, PhD

Tokarev Sergey Medical expert, Ph.D

Our partners

We actively cooperate with the professional community


The Skolkovo Innovation Center is a high technology business area in Russia

Petrozavodsk State University

The Flagship University of the Republic of Karelia

Federal State budget organization National medical research center of cardiology of the Ministry of Healthcare (Russia)

The leading cardiology center in Russia

National Base of medical knowledge

The Association of Developers and Users of Artificial Intelligence Systems in Medicine

Medical Prevention Center

YNAO Health Organization for disease prevention

Association of Clinical Pharmacologists

The largest organization of clinical pharmacologists in Russia

Siberian State Medical University

Siberian State Medical University (SibMed) is among the TOP-3 best medical universities in Russia. In 2017 SibMed obtained the status of the only flagship medical university in Russia.

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.

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 'The best IT Solution for healthcare 2020' contest

Webiomed became laureate of the '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 National Prize "Priority 2020"

K-SkAI, the developer of Webiomed predictive analytics system, was nominated for the award in "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 "Startup of the Year".

Affiliate program

Connect to WEBIOMED for free and without restrictions! Sign up now

Owners of high-quality structured electronic medical data are invited to join the affiliate program. We include your developments in our product, in return, you use WEBIOMED for free in your work.

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Our blog

Artificial intelligence in medicine

06 Окт 2020  |   82

Interpreting Machine Learning Results

Albert Einstein: "If you can’t explain it to a six-year-old, you probably don’t understand it …

23 Июл 2020  |   36

Overview of Russian investments in digital health

On the one hand, today digitalization of medicine and healthcare is a very popular and …

08 Июл 2020  |   86

Basic metrics of classification problems in machine learning

Each machine learning problem poses the question of evaluating the model results. Without the introduced criteria, …

01 Июл 2020  |   69

Cardiovascular diseases and COVID-19

In March of 2020, the Webiomed team received an order to add to the system …

05 Июн 2020  |   115

Application of NLP for extraction of information from Electronic Health Records

Electronic health records (EHR) represent the basis for the automation of a medical organization. Recently, …

28 Апр 2020  |   74

Why do we need risk scores and decision rules in Webiomed?

Recently, especially after the news on the registration of Webiomed as a medical device, we …

20 Сен 2019  |   1 152

The map “Artificial Intelligence in Russian Health Care”

One of the most promising areas of digital health development is artificial intelligence. There are …

16 Июл 2019  |   1 150

What Russian healthcare managers are thinking about artificial intelligence

Although the AI pilot projects are still rare, the vast majority of Russians healthcare leaders are aware …

05 Окт 2018  |   1 121

Report: "Artificial Intelligence in Russian Medicine: Decision Support Systems"

An annotation of the report “Artificial Intelligence in Russian Medicine": Decision Support Systems” published on …

28 Авг 2018  |   1 326

On registration of Clinical Decision Support Systems as a Medical Device

The key area of ​​digital healthcare is the use of Clinical Decision Support Systems (CDSS), …

30 Июн 2018  |   968

About the “Artificial Intelligence in Medicine. Digital Health" session

On June 26-28, the All-Russian Consilium of Honored Doctors of Russia was held in Moscow. …

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Our news

WEBIOMED project development

28 Дек 2020  |   53

The results for 2020 were summed up in the Webiomed project

The Webiomed project team has summed up the preliminary results for 2020. It has been a very eventful and busy year for all of us. …

21 Дек 2020  |   27

Perinatal risk assessment algorithm has been added to Webiomed


18 Дек 2020  |   25

The topic of AI in practical healthcare was discussed at the Online Diagnostics 3.0 forum


17 Дек 2020  |   36

Webiomed is the winner of the Smart Clinic Technologies competition

All news

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