Create a single digital patient profile
For modern medicine to work effectively, it is necessary
In Russia, the Ministry of Health is engaged in such a project.Unified State Health Information System is 13 subsystems and registers, united into one information system. In November this year, it became known that anonymized patient data from the Unified State Health Information System will be able to use specialized medical companies to train ML-models. Such systems are often placed in the cloud: this is how they solve problems of storing and aggregating data, and accelerating the development of machine learning models.
Automatic scaling of information systems
Today it is necessary for technology to allowadapt the infrastructure of a medical institution to the load. When a user sees "Error 404" on a web page or cannot open an application on the phone, this is both a potential loss of a client for a business and a lack of medical care for a patient.
In addition, the requirements for IT services in medicinethe pandemic changed: the number of patients, the number of requests, the amount of processed medical information increased. For example, the number of daily tests for coronavirus infections has increased from 100 to 10,000 per day: many medical laboratories needed to quickly scale up their information systems. Thus, the CMD laboratory, created on the basis of the Central Research Institute of Epidemiology, under conditions of unpredictable load this year, quickly scaled the operation of its information systems and eliminated the possibility of failures during peak loads due to the use of clouds.
Quality of conducted examinations
With the development of cloud technologies and their implementation inmedicine, new approaches to the diagnosis of diseases appear. The Medical Decision Support System (MDS) is becoming the standard in healthcare. AI algorithms help to identify a large number of hypotheses related to health problems based on a variety of information. Artificial intelligence is able to diagnose pathologies by collecting and organizing patient records and comparing them with the results of medical research.
AI helps radiologists read correctlyX-ray images and visualize them for pulmonologists. This year, Yandex.Cloud was approached by RADLogics, a software platform for AI analysis of medical images. The computer vision algorithms developed by the company are able, for example, to distinguish the pathology of viral pneumonia caused by SARS-CoV-2 from bacterial pneumonia.
By placing the platform in the cloud, RADLogics receivedthe ability to quickly and, most importantly, remotely configure software and integrate with existing radiological systems (PACS, RIS, MIS) in clinics. This made it possible to connect diagnostic departments even in remote areas and comply with a single standard for diagnosing diseases throughout the country.
Storing sensitive data
Hospitals, medical centers and laboratorieswork with sensitive information of different categories: customer contacts, their medical records, genetic information. Most of this data belongs to the category of personal, and, accordingly, it must comply with all security requirements prescribed in federal laws and be stored on the territory of the Russian Federation. The customer can independently check the cloud platform for certificates, for example, for compliance with the requirements of FSTEC UZ-1.
Leading providers annually improve theirexpertise in the field of data security. Gartner predicted that 95% of cloud data breach incidents this year will be caused by customers, not service providers. By 2023, the IaaS model will be 60% more secure than the organization's own data center.
For some medical organizations, providinga high level of security is becoming one of the key reasons for using cloud technologies. For example, the high-tech company Genotek, which works with a large amount of genetic data, after migrating to the cloud, not only accelerated the turnover of the production of genetic results, but also provided data storage in accordance with the legislation of the Russian Federation.
Remote Patient Tools
Today, telemedicine is developing very actively in many countries: according to data VEB Ventures, the global attendance of telemedicine services can grow 5.5 times: from 36 million visits at the beginning of 2020 to 200 million visits by the beginning of 2021.
For the full development of telemedicine, it is necessarydebugged infrastructure that will provide quick access to patient data. Services use IaaS platforms, a cloud computing model where an organization gains access to capacity in the cloud. It is important that when using such a model, an unlimited number of users from any location can work in the service. For example, the clouds have helped the American service Amwell scale faster. The company now operates 2,000 hospitals and 36,000 employees.
Effectiveness of communication with patients
Modern patients are actively using mobiletools. This allows medical centers, hospitals and other organizations to seek new communication channels. Increasingly, in the healthcare sector, they began to use tools for automating call centers and introducing chat bots.
At the beginning of the self-isolation period in the spring, the Ministry of HealthMoscow region launched an informant robot that calls citizens and monitors their quarantine status. The robot is able to check the well-being of more than 2,000 residents per day and, if necessary, transfer an ambulance or doctor's call, also notify about the right to financial support, issuing an electronic sick leave or canceling an appointment with the MFC.
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