“The second opinion”. Medical employees of Yamal will take artificial intelligence into consideration, when choosing a method of treatment
16:29 8 ноября 2018
Категории: News in English
Yamal-Nenets Autonomous Okrug will become a pilot region in development and introduction of projects on use of Russian systems of artificial intelligence for medicine and healthcare. The working meeting of specialists of the department of healthcare of Yamal-Nenets Autonomous Okrug, representatives of the Association of Developers and Users of Artificial Intelligence Systems in Medicine “National database of medical knowledge” took place in Salekhard at the venue of “Medical information and analytical center of Yamal-Nenets Autonomous Okrug”.
Serious attention always was paid to informatization of the health sector in Yamal. The branch accumulated large amounts of medical data being stored electronically. Already today it allows approaching use of intelligent systems to support medical decision-making, including their use as “the second opinion”. Such systems work on the basis of analysis of primary electronic medical data and certified knowledge databases on methods of treatment of diseases, big data of depersonalized information and methods of artificial intelligence.
According to the participants of the meeting, modern information technologies provide the wide range of opportunities that can be combined into several key areas: reducing of number of medical errors, forecasting of development of diseases and monitoring of patients, involving them in their own health care, supporting of the healthy lifestyle.
New intelligent systems will help in the shortest possible time to detect cardiovascular diseases and oncology on the early stages, to rank and predict risks of development of pathology and even to predict the time, when a patient will go to the doctor. The technology will also allow monitoring observation of clinical recommendations, standards and procedures of medical care, improving efficiency of work of the branch in general, thus reducing probability of erroneous conclusions at the stages of diagnostic search. This information was given to the news agency “Sever-Press” in the center for medical prevention.