Reliable digital physician assistant to identify high-risk patients

WEBIOMED is a Clinical Decision Support System (CDSS) that use machine learning and artificial intelligence

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WEBIOMED for healthcare organizer

Ready-made, trained solution to identify high-risk patients, to prevent morbidity and mortality.

  • Automatic risk stratification of patients
  • A more efficient organization of preventive work aimed at personal group of patients with a high risk of complications and death
  • The ability to route patients depending on the assessment obtained
  • Reduced morbidity and mortality
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WEBIOMED for clinicians

Reliable digital assistant, trained on the results of evidence-based medicine and modern clinical guidelines.

  • Automatic Identification of Risk Factors
  • Automatic determination of the likelihood of developing a disease
  • Compliance with clinical practice guidelines
  • Reduced time of the patient risk assessment
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WEBIOMED for developers

Powerful artificial intelligence to evaluate medical data and identify risk factors without development costs.

  • The addition of medical decision support functions
  • Ready service for evaluating EHR and to identify the risk factors
  • Reducing the costs of development of medical information system
  • Contact Us Demo

How does it works?

Gathering of information

During working with electronic medical record (EHR) physicians use the special command to call CDSS. The de-identified electronic health records are send to CDSS Webiomed for assessment on this command.

Physician asks for advice CDSS

EHR sends the data set to WEBIOMED

WEBIOMED Identifies risk factors and predicts complications.

Individual recommendations for the patient and the doctor are formed.

Analysis of information

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

Results on your screen

The answer sends to the information system that has requested the data analysis before. The user sees the result on EHRs workplace.

The respond back are send by WEBIOMED to EHR

You can see the results on your EHR workplace


We are exploring the topic of artificial intelligence

Journal of Telemedicine and E-Health • №3 2018

Artificial intelligence for cardiovascular risks assessment

Авторы: Kuznetsova TatyanaGusev AleksanderIgor Korsakov

Cardiovascular disease (CVD) is one of the leading causes of death and disability in most countries of the world, including Russia. According to Russian Federal State Statstics Service (Rosstat) in 2016, 904 thousand people died from diseases of the circulatory system in Russia, which amounted to 47.8% in the structure of the causes of mortality. A significant proportion of this morbidity and mortality could be prevented through early diagnosed and prevention strategies, both for people with established disease and for those at high risk of developing disease.

Information technologies for the Physician * №3 2018

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

Авторы: Gusev Aleksander

Artificial intelligence is becoming one of the main drivers in solving serious problems of medicine and health, such as inadequate resources, further improving efficiency, quality and speed of work. All over the world, more and more solutions are being developed in this area. However, the more new products appear, the more questions and problems arise. The work analyzes some foreign publications and research results, which studied the main problems associated with the creation and implementation of artificial intelligence in health care. As a result of the analysis, a number of practical recommendations were formulated that will help increase the likelihood of successful creation and introduction of such products in the practical link of health.


Artificial Intelligence in Medicine and Healthcare

Авторы: Gusev Aleksander

The article discusses the prospects for using artificial intelligence technologies in medicine and healthcare. The history of artificial intelligence development is described. The technologies of machine learning and neural networks are analyzed. The review of already implemented artificial intelligence projects is provided. The forecast of the most promising directions of the artificial intelligence technologies development, according to the authors, for the near future is given.

Information technologies for the Physician *№3 2017

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

Авторы: Gusev Aleksander

The paper gives an overview of the prospects of using neural networks and deep machine learning in the creation of artificial intelligence systems for healthcare. The definition and explanations on the technologies of machine learning and neural networks are given. The review of already implemented artificial intelligence projects is presented, as well as the forecast of the most promising directions of development in the near future

Information technologies for the Physician * №2 2017

Clinical Decisions Support in medical information systems of a medical organization

Авторы: Gusev Aleksander

In the article the review of various possibilities of support of acceptance of medical decisions in medical information systems of the medical organizations is presented. The description of functional requirements and prospects in terms of increasing the effectiveness of medical information systems in the informatization of clinical work of doctors


О нас говорят

The independent opinions about our product

12/08/2019 • None


09/04/2019 • None


09/04/2019 • None


10/04/2019 • None


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 from medicine and IT

Novitsky Roman CO-FOUNDER, CEO

Gusev Aleksander Digital Medicine Expert


Igor Korsakov Expert in AI, Machine Learning and NLP

Serova Larisa Expert on scientific work

Guseva Anna Аnalyst

Artem Izosin Head of Development

Kashin Michail DevOPS, IT expert

Tareev Pavel Software Engineer

Nikolaev Dmitry Software Engineer

Lukin Denis Front-End Engineer

Malyshev Denis Software Development Engineer In Test

Scientific ADVISORS

Kuznetsova Tatyana Medical expert, Ph.D

Tokarev Sergey Medical expert, Ph.D

Ours partners

We actively cooperate with the professional community

National Base of medical knowledge

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

National Technology Initiative

The program for creation of fundamentally new markets and the creation of conditions for global technological leadership of Russia


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

Association of Clinical Pharmacologists

This is the largest organization of clinical pharmacologists in Russia.Established in 2009

Medical Prevention Center

YNAO Health Organization for prevent deseases

Petrozavodsk State University

Petrozavodsk State University is the Flagship University of the Republic of Karelia


For connection

Base rate

  • Automated risk assessment
  • Integration Medical Information System to the system
  • Interpretation of the results

Advanced Rate

  • Automated risk assessment
  • Integration Medical Information System to the system
  • Interpretation of the results
  • Clinical guideline for physicians
  • Recommendations to patients
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Affiliate program

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

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Our blog

Interesting about artificial intelligence

16 Июл 2019  |   148

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  |   346

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  |   421

About 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  |   292

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

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 stages

27 Май 2019

WEBIOMED was presented at the conference "Artificial intelligence technologies 2019»

The international practical conference "Artificial intelligence technologies 2019" was held in Moscow on May 22, 2019. It was organized by the Open Systems Publications. The ...

27 Май 2019

We participate in the discussion of regulatory issues of registration of CDSS as medical devices


24 Янв 2019

WEBIOMED has been launched into the pilot operation in Yamal


15 Янв 2019

Assessment of the severity of pneumonia have been added to WEBIOMED

All news