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10 January 2022, 09:02

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Photo by V. Novikov. Press Service of the Mayor and the Moscow Government

The system helps to automatically generate directions for diagnostics, thanks to which the doctor reduces the time for making appointments by 10 times.

For more than a year, the Moscow polyclinics have been running a medical decision support system (MDS). In 2021, using artificial intelligence-based services, doctors made more than three million preliminary diagnoses.

“The service helps to analyze patient complaints and thus saves time and increases the accuracy of diagnostics. Also, after a diagnosis is made, the system helps to automatically generate directions for diagnostics, thanks to which the doctor reduces the time for making appointments by 10 times, ”the press service of the Moscow social development complex said.

The medical decision support system is used in all urban adult polyclinics. Thanks to the service, the process of making a preliminary diagnosis is greatly simplified, the time spent on processing examination results is reduced and the accuracy of the diagnosis is increased.

After analyzing the complaints entered by the doctor into the system at the appointment, the digital assistant prompts the therapist to choose one of the three most likely diagnosis, without limiting the doctor’s decision. The therapist can use the variant of the diagnosis proposed by artificial intelligence, or make his own.

After a preliminary diagnosis has been made, the doctor directs the patient for diagnosis and prescribes studies or consultations with narrow specialists. At this stage, SPPVR offers to use its other service – package appointments with the necessary set of laboratory and instrumental studies, as well as consultations with narrow-profile specialists to confirm the preliminary diagnosis. At his discretion, the doctor can prescribe additional diagnostic procedures or shorten the list of proposed ones if the patient has recently undergone them. He also sees this information in the Unified Medical Information and Analytical System (UMIAS).

The use of the medical decision support system allows to reduce the average time of the appointment of diagnostic examinations by 10 times. The development of digital services reduces the routine in the work of doctors and draws their attention to important details in the patient’s history, which could not have been noticed without analyzing the neural network. The service also allows you to avoid re-assignment to the same study.

The implementation of such solutions became possible thanks to a unified digital healthcare platform, which is being developed together with the capital’s social development complex and Department of Information Technology.

EDITOR’S NOTE: This article is a translation. Apologies should the grammar and or sentence structure not be perfect.

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