Webiomed - Machine Learning-based Predictive Analytics and Risk Management in Healthcare Platform

The main articles are:

• Data mining Data mining
• Decision Support Systems (DSS)
• Predictive analytics (predictive, predictive, predictive) Predictive analytics

Webiomed is a machine learning-based predictive analytics and risk management platform in healthcare.

2023

Connection to the Webiomed platform of 28 constituent entities of the Russian Federation

According to the preliminary results of 2023, K-Sky, a Skolkovo resident (ВЭБ.РФ Group), equipped 28 constituent entities of the Russian Federation with the Webiomed platform, where, as of the end of the year, there is an active connection to the system, user training and implementation. As a result, the company became the leader in the number of connected regions among all suppliers of AI systems for healthcare. This was announced on December 25, 2023 by representatives of the Skolkovo Innovation Center.

In addition, over the year, K-Sky entered into state contracts totaling more than 100 million rubles, and also analyzed over 33 million impersonal electronic medical cards of Russia, including more than 300 million medical records.

With the help of a service for processing unstructured medical documents based on NLP technologies, the platform extracted over 1.5 billion different signs and indicators characterizing the health of patients, on the basis of which patient risk profiles were created, personal forecasts of possible deterioration of health were formulated and recommendations were given to doctors and patients on prevention.

As of December 25, 2023, over 2 thousand medical organizations and about 50 thousand doctors received access to tools for predictive analytics and the automatic formation of a single digital patient profile using artificial intelligence technologies. More than 40 educational webinars were held for more than 2,400 doctors.

"We at Webiomed believe that 2023 was a watershed moment for us when multi-year investments in development and market promotion began to convert into final design and financial results. Our bet is on in-depth scientific research, active partnership and cooperation with industry experts and constant product improvement based on feedback from our users and the regulator, "said Alexander Gusev, Development Director of Webiomed.

The platform supports the analysis of 43 of the most socially significant diseases for 3 thousand signs characterizing the patient's health. 40 different algorithms for risk assessment and detection of suspected diseases, including using machine learning models, have been created for the work of the SPTMS.

MedBaseGear Integration Plan

The company K-Skye"" (developer of the forecast analytics platform Webiomed) and the publishing group GEOTAR-media"" (developer of the reference and information system MedBaseGeotar"") entered into a cooperation and joint promotion agreement. This was announced K-Skye by "" on December 4, 2023.

The key direction of the digital transformation of healthcare for December 2023 is the introduction of artificial intelligence (AI) technologies and medical decision support systems (SPTD). SPTD methods significantly unload a physician in big data analysis, including electronic medical records and digital images, freeing up time to communicate with the patient and sparing the physician from the routine processing of accumulated data, which modern AI technologies often cope with much better than humans. At the same time, one of the trends in the development of SPTD is not only the ability of AI to interpret the data, but the provision of quick, convenient - and most importantly personalized access to professionally selected and validated medical knowledge.

In this regard, K-Sky and the GEOTAR-Media publishing group agreed to integrate the MedBaseGeotar reference information system into SPPVR Webiomed, which includes about 200 thousand units of specialized medical content, including current clinical recommendations, information about medicines, leading world translation publications for doctors and other medical literature.

Our reference and information system will help doctors to be sure of the correctness of the diagnosis, to deal with a complex case, to prescribe the optimal treatment of the patient. I am sure that MedBaseGeotar will become a reliable assistant in the work of our doctors, which means that our patients will receive high-quality care, - said the rector of the Higher School of Healthcare Organization and Management (VSHUZ), Doctor of Medical Sciences Guzel Ulumbekova.

Built-in and context-sensitive intelligent access to specialized knowledge directly from the Webiomed SPTA interface will allow the physician to quickly obtain all necessary reference information about diseases, risk factors and patient conditions in the context of medical terms, clinical recommendations, reference data on symptoms and syndromes, medicines, etc.

A doctor who has access to a squeeze selected with the help of artificial intelligence from a huge base of high-quality medical knowledge right at the reception will certainly be able to more effectively help his patients. In modern conditions, when our expectations from the level of medical care are so high, and the burden on doctors is so strong, it can be crucial for the really real and mass use of SPVR in Russian practice, "said Alexander Gusev, director of development at Webiomed.

Red OS Compatibility

On June 26, 2023, RED SOFTWARE announced that it had agreed on a technological partnership with K-Sky, within the framework of which it confirmed the compatibility of the platform for automatic analysis of medical data Webiomed with the operating system RED OS. The solution is designed to migrate the IT infrastructure of healthcare organizations to an import-independent software package.

As reported, Webiomed is a Russian predictive analytics platform for the healthcare sector. The solution is designed to automatically analyze medical data for the purpose of assessment of the risks of developing diseases and their complications at the personal and population level. The product is registered as a medical device, a certificate of compliance of the Quality Management System (QMS) with ISO 13485: 2016, certified for compliance with the information security requirements for state information systems of the second (K2) security class and information systems of personal data of the 2nd security level (U32).

RED OS is a Russian operating system of the Linux family for servers and workstations, providing a universal environment for using application software. The product is certified by the FSTEC of Russia, which confirms its compliance with information security requirements and allows its use in state information systems.

The products are registered in the Unified Register of Russian Programs for Electronic Computers and Databases.

Ensuring RED OS compatibility for us is an important step in the development of our Webiomed product. This meets the requirements of our customers who use Russian-developed operating systems. noted Roman Novitsky, CEO of Webiomed

Red OS is actively used in medical organizations of the country. This became possible thanks to active cooperation with technological partners and the development of the ecosystem of our operating system for the needs of healthcare. Now, among the compatible and affordable tools is artificial intelligence technology to optimize preventive medical care. told Rustam Rustamov, Deputy General Director of RED SOFT

Integration with TouchMed

The TouchMed remote survey platform (developed by Nobilis) is integrated with the Webiomed predictive analytics platform (developed by K-Sky. K-Sky announced this on February 14, 2023. Read more here.

2022: Digital Algorithm Development Plan to Accelerate Physician Interpretation

AstraZeneca"" and the resident Skolkovo"" K-Skye"" will develop digital algorithms ones to speed up doctors' interpretation of symptoms and the results of studies of patients with chronic kidney disease (CKD). The system of supporting medical decisions will help increase the detection of the disease and prevent the negative consequences of its progression. The Skolkovo Foundation announced this on January 17, 2022.

The project will develop digital algorithms for identifying patients with chronic kidney disease based on an analysis of electronic medical maps validated for data each region artificial intelligence using the Webiomed platform.

Our joint project is aimed at detecting a dangerous pathology - chronic kidney disease, which is very important for Russia. Together with AstraZenek, we will use artificial intelligence technologies to detect patients with CKD in the early stages, which will allow us to prescribe treatment in time and reduce the burden of this disease for both patients and the healthcare system of our country. Thank you to AstraZenek for your trust. We will actively continue cooperation, said Andrey Salikov, commercial director of K-Sky.

Machine learning models will help you quickly process and analyze large amounts of information with high quality. This will significantly reduce the time that doctors are forced to spend interpreting the symptoms and results of laboratory tests of patients. Timely determination of pathology and prescription of treatment will prevent negative consequences from disease progression.

In Russia, about 27 million people suffer from chronic kidney disease, and only 3 million know about their diagnosis. The problem of insufficient diagnosis of CKD is a heavy burden on the health care system, resulting in a decrease in the quality of life and disability of millions of patients. To solve this problem, pharmaceutical companies are not limited to the development and production of drugs, but are looking for comprehensive approaches to therapy and screening. We expect that a joint project with K-Sky will help Russian patients get diagnosed on time and start treatment, noted Anna Brashenkova, medical director of Biopharma of AstraZeneca in Russia and Eurasia.

Companies will test algorithms together with medical experts in real clinical practice. The result of the work will be the current system of support for medical decisions - an algorithm that acts as a "doctor's assistant" to improve the diagnosis of CKD. Summing up the results of the joint project is planned at the end of 2022.

The joint project 'K-Sky' and 'AstraZenek' is an example of the work of the'Skolkovo' ecosystem. Such partnerships, particularly in the implementation of artificial intelligence technologies and big data processing, are an unconditional priority for the Foundation. We welcome the desire of our resident to actively cooperate with representatives of the pharmaceutical market and leading domestic medical experts in terms of solving strategic national health problems - prevention, early detection and reduction of morbidity. We hope for the successful implementation and replication of the project, added Yulia Shcheglova, project manager of the Skolkovo Foundation Biomedical Technology Cluster.

The prevalence of CKD is comparable to diseases such as hypertension and diabetes mellitus. Early stage detection is an important task and largely depends on the vigilance and competence of doctors.

2021

Webiomed - artificial intelligence for health care in Russia, which helps to anticipate diseases

The Company K-Skye is developing a predictive analytics and risk management platform health care at Webiomed. This is the first registered Roszdravnadzor system artificial intelligence that is created in order to medical data predict and prevent disease based on the analysis of patients. Read more here.

Implementation in MDDC SberMedAI

SberMedII (part of the Sber ecosystem) and K-Sky LLC entered into a cooperation agreement. Now the digital platform of the Medical Digital Diagnostic Center (MDDC) includes predictive analytics and risk management services in healthcare based on artificial intelligence Webiomed, developed by K-Sky. SberMedAI announced this on October 1, 2021. Read more here.

Integration Plan with BARS. Healthcare - MIS

On June 23, 202, BARS Group announced the signing of a cooperation agreement with K-Sky.

The parties agreed on the integration of the forecast analytics platform Webiomed with the BARS. Healthcare - MIS platform, as well as a technological partnership. Read more here.

N3.Health Integration Plan

K-Sky announced on June 15, 2021 that, together with ElNetMed, the B2B division of Netrika Medicine, had signed a partnership agreement in the field of artificial intelligence.

The parties agreed on technological cooperation, within the framework of which integration Webiomed will be provided with the platform N3.Health"." The companies also plan to implement joint projects in the field of digital medicine and the introduction of artificial intelligence technologies, including the development and implementation of promising methods for digital modeling and forecasting of various patient health conditions.

Partnership with N3.Health is another significant step in the development of the Webiomed project. The implemented integration will allow regions using the N3. Healthcare platform to apply artificial intelligence technologies in real clinical practice, reduce medical errors and time costs for analyzing medical data, carry out a comprehensive assessment of human health risks and ultimately reduce morbidity and mortality, - said the CEO of K-Sky Roman Novitsky.

Cooperation with K-Sky is a natural step in the digitalization of the healthcare industry as a whole. We have long positioned ourselves as the information core of regional health care, which allows you to connect almost any system to yourself. And we always gladly accept players who come to our open ecosystem of data exchange . In regions that have reached a high level of digitalization of healthcare, there is a need for tools such as Webiomed, and it is encouraging that K-Sky understands this and supports our principles of operation. Cooperation of our efforts can become very effective in the field of medicine, customers will be able to get tools with minimal costs to include them in healthcare processes, - commented Vladimir Solovyov, General Director of ElNetMed .

Obtaining the status of "Other Information System" and connecting to the Uniform State Health Information System

The predictive analytics platform based on machine learning Webiomed of K-Sky, a Skolkovo resident (ВЭБ.РФ group), received the status of "Other Information System" (IIS). Previously, the technology passed independent certification for information protection. Now it will be connected to the Unified State Health Information System (Uniform State Health Information System), K-Sky reported on April 20, 2021.

Thus, the Webiomed platform will have access to large data from the Uniform State Health Information System. In turn, this will increase the effectiveness of predictive services for managers, doctors and, as a result, improve the quality of patient care, the company noted.

"Artificial intelligence is a key technology for the development of digital health care and an unconditional priority for the Skolkovo Foundation. Two years ago, the Webiomed system became the first product with artificial intelligence for healthcare, posted in the Register of Russian Software. A year ago, it became the first system with artificial intelligence registered by Roszdravnadzor as a software medical device. And here is another achievement - the first system with artificial intelligence, which will be connected to the federal services of the Uniform State Health Information System, "said Yulia Shcheglova, project manager of the Skolkovo Foundation Biomedical Technology Cluster.

A positive decision was made taking into account independent certification for compliance with the requirements for information protection imposed on state information systems of the second (K2) security class and information systems of personal data of the 2nd security level (U32).

"Webiomed's development strategy is based on the company's desire to comply with all regulatory and technical requirements established in Russia in the field of digital healthcare and, at the same time, to a wide partnership and joint implementation of projects in the field of artificial intelligence. Of course, connecting to the Uniform State Health Information System is a key milestone in development for us, since it opens access to high-quality state big data, directories and federal services. We are grateful to the Ministry of Health for supporting our aspirations, "said Roman Novitsky, CEO of K-Sky.

Integration with ECP.MIS

RT Medical Information Systems (RT MIS and K-Sky, signed an agreement on cooperation in the field of artificial intelligence. Rostelecom announced this on April 19, 2021.

The parties agreed on a technological partnership and carried out seamless integration of a single digital platform (EDS. MIS) from RT MIS and the Webiomed forecasting analytics and risk management platform from K-Sky. Read more here.

2020

Webiomed introduced in the Yamalo-Nenets Autonomous Okrug, Kirov region and Karelia

As of July 2020, the Webiomed system has been introduced in a number of medical organizations of the Yamalo-Nenets Autonomous Okrug, the Kirov Region and the Republic of Karelia. The project won the selection of domestic solutions based on "end-to-end" digital technologies, which was conducted by the Analytical Center under the Government of the Russian Federation together with the Ministry of Communications of Russia.

Recognition of Webiomed as a medical device

On April 22, 2020, Skolkovo the "" foundation announced that Roszdravnadzor registered the Webiomed medical decision-making support system as a medical product. This is the first with, software product artificial intelligence passed technical and clinical trials and received permission to use the Russian in hospitals and clinics. The Webiomed system was developed by a resident of the Skolkovo Foundation by the Group of Companies.K-Skye

The main focus of Webiomed is predictive analytics and disease risk management. The Medical Decision Support System (SPMS) takes the effectiveness of disease prevention and diagnosis to a new level. The software (software) is trained to analyze various medical data of the patient, identify risk factors, and form medical forecasts.

Registration of our Webiomed product as a medical device is the result of the systematic and well-coordinated work of the entire project team, including a large number of pilot project partners and doctors who helped us in every possible way with advice, criticism and the desire to make a solid and useful tool. We have been very much looking forward to this event and can be proud of the excellent result. We are now preparing to attract substantial investment to focus our efforts on the development and promotion of Webiomed implementation projects in practical healthcare, - says Roman Novitsky, CEO of K-Sky

The work of the system is based on its own comprehensive methodology for determining the risks of the development of diseases and their complications. For this, models based on machine learning and several auxiliary algorithms based on clinical recommendations and risk assessment scales are used:

• Prediction of individual probability of developing cardiovascular disease based on machine learning;
• Prediction of individual probability of death from coronary heart disease and stroke based on machine learning.

The Webiomed system is designed to be embedded in medical information systems and other healthcare management software products. It eliminates the need for a doctor to manually search for information in electronic records and gives a ready-made assessment of the risks of diseases, such as: the total risk of atherosclerosis and its complications, the risk of thromboembolic complications in heart rhythm disorders, the risk of cardiac arrest in hospitalized patients, the severity of community-acquired pneumonia, etc. Based on these assessments, the system forms recommendations for the treatment of the patient.

Systems for supporting medical decision-making are indispensable medical assistants, in fact, security systems for health care, a kind of autopilot. SPMS are in no case reference books, which are referred to if necessary. On the contrary, they work in the background, scan medical data and draw the attention of the doctor to patients with a high risk of stroke, with signs of cancer on computed tomography, with prescribing errors. - says Sergei Morozov, MD, Director of the Scientific and Practical Clinical Center for Diagnostics and Telemedicine Technologies, Professor, Department of Radiation Diagnostics and Radiation Therapy, Moscow State Medical University named after I.M. Sechenov

The Skolkovo Foundation pays great attention to supporting participants who create industry products based on big data and artificial intelligence. The long-awaited registration certificate for Webiomed not only confirmed the quality and reliability of the solution. It opened up the opportunity for Russian doctors to use artificial intelligence in working with patients, and for developers of systems to support medical solutions - new horizons in the use of key digital technologies in healthcare, - says Yulia Shcheglova, project manager of the Skolkovo Foundation Biomedical Technology Cluster

Opening free access to the Webiomed pneumonia severity assessment system

On April 3, 2020, Skolkovo the Foundation "" announced that the company K-Skye"," a resident biomedical of the Skolkovo Foundation Technology Cluster, provided free access medical to information system developers and medical organizations to the predictive analytics and risk management platform based on artificial intelligence Webiomed.

The Webiomed system is designed to analyze impersonal medical data in order to identify risk factors and make forecasts of the development of various diseases.

During the COVID-19 pandemic, it is vital to timely diagnosis and determine further medical actions: whether the patient needs hospitalization, whether he can be in a regular ward or needs resuscitation. To solve this important issue, about twenty patient health indicators are used, combined into several scales of pneumonia severity. Some scales use a small number of indicators and are less accurate, but easy to use, others contain more signs of severity of pneumonia, more accurate, but difficult to use. In practice, the doctor does not always have the opportunity to use a more suitable and accurate scale for determining the tactics of managing patients in pneumonia, not to mention the simultaneous use of several risk assessment methods at once.

To help doctors make decisions, the developers of Webiomed have combined the possibilities of using the most common methods in the world to assess the severity of this disease. On the one hand, the Webiomed system allows you to assess all the necessary indicators of pneumonia severity, on the other hand, those that are minimally needed to make a tactical decision. By optimizing this process, the doctor can quickly and more accurately make the necessary diagnosis and prescribe treatment.

We consider it extremely important to provide physicians and health care organizers with a tool that allows for individual and population-based prognosis of disease development, including based on an assessment of the prevalence of risk factors and high-risk patients. - says Alexander Gusev, Development Director of K-Sky

Opening access to any developers of medical information systems and doctors to the capabilities of Webiomed, our resident, K-Sky, is trying to support Russian health care and improve the quality of care provided to patients who find themselves in a difficult life situation during the COVID-19 pandemic. - says Yulia Shcheglova, project manager of the Skolkovo Foundation Biomedical Technology Cluster

According to information for April 2020, K-Sky is also developing an algorithm for detecting symptoms and risk factors for pneumonia or death from COVID-19.

2018

Integration with the Medarchiv platform

Integrated Medical Information Systems (K-MIS) and Amediko (creator of the Medarkhiv platform) on October 23, 2018 announced the signing of an agreement on cooperation and joint promotion of digital health projects. Within the framework of the agreement, integration of software products for automation of healthcare K-MIS and the Medarkhiv remote monitoring platform will be carried out. The first goal is to integrate the Webiomed medical decision support system developed by K-MIS into the Medarchiv mobile applications used by patients and doctors during remote monitoring. Read more here.

The capabilities and operating principle of Webiomed

Webiomed is a physician decision support system (SPDD) to identify risk factors and suspicions of various diseases in patients. The operation of the system is based on the automated assessment of a variety of health indicators, including the analysis of data from electronic medical records (EMR).

Webiomed services can be embedded in any medical information systems and software for healthcare, applications to support a healthy lifestyle, telemedicine, etc.

Opportunities (as of October 2018):

• Automatic analysis of medical data, including electronic medical records
• Identification of risk factors for the development of diseases, risk stratification of patients
• Formation of an individual forecast of the onset of fatal and non-fatal complications of diseases by various nosologies
• Making recommendations on patient management tactics based on generally accepted clinical recommendations, medical standards and evidence-based medicine
• Population Analysis and Forecasts
• Facilitating clinical research and the search for unknown dependencies in electronic health data

As of October 2018, Webiomed is able to analyze the patient's medical data and identify risk factors for the development of various diseases, making a forecast of the possible onset of complications or death of the patient with the assignment of a risk group.

These capabilities allow the doctor to get a tip while taking the patient. The system is able to carry out an automatic population health assessment and thereby identify patients at high risk.

Thus, webiomed is designed to help reduce the number of deaths, advanced diseases or complications from them by identifying patients at the earliest possible stage of the disease.

Principle of operation

Artificial intelligence Webiomed helps doctors establish which of the healthy people is likely to develop certain diseases and their complications. To do this, the system uses depersonified data of the patient's electronic medical record and tries to identify signs of the development of various diseases in them. If risk factors are identified, the system generates an individual forecast of complications of the patient's health and assigns him an appropriate risk group. Based on this assessment, recommendations for examination and treatment tactics are formed for healthcare professionals and patients.

At its core, the work of the system consists in supporting the adoption of medical decisions at the stage of preventive work of the health care system. According to the developers of the system, such analysis and identification of groups of people with a potentially high risk of disease is very important for health care, since new interdependencies are found in the data, which can be used for preventive interventions and more verified prevention measures, including the use of the latest diagnostics and treatments.

Starting the Webiomed project

The project was launched in 2018 at the personal expense of its founders - Roman Novitsky and Alexander Gusev. About 20 million rubles were spent on the development of the first version of the product, its clinical trials and pilot testing.