The chatbot will collect complaints about the state of health of Muscovites before being seen in antenatal clinics well-being before the doctor's appointment at the city's antenatal clinics. The survey results will be automatically uploaded to UMIAS and recorded in the inspection protocol. Thus, the digital assistant will allow the physician to save time spent on collecting this data at the appointment, and the patient – to remember in advance her complaints about well-being and formulate them. This was announced by the Deputy Mayor of Moscow for Social Development Anastasia Rakova.
“In February of this year, we launched a chatbot that polls patients about their complaints about their well-being before seeing a therapist. The service of a unified digital healthcare platform is popular among Muscovites – over the entire period of its operation, more than half a million people have used it. Now we are launching a new digital assistant for gynecologists – a chatbot based on artificial intelligence to help residents of the capital report complaints about their well-being before an appointment with a antenatal clinic. The principle of its operation remains the same, only the questions differ. Their list has been revised taking into account the addition of a new specialty — the list of symptoms with which patients turn to antenatal clinics has been expanded. The new service will allow doctors to save the time they usually spend collecting complaints about their well-being, and to pay more attention to examining the patient, communicating with her, prescribing additional tests or treatment. Muscovites, in turn, will be able to remember their symptoms in advance, without missing anything important, “- said the deputy mayor.
To use the chatbot, you do not need to download any additional applications, since it is integrated with the appointment services of the unified digital platform of Moscow healthcare. You just need to follow the link from the SMS message or push notification that will come to the patient after making an appointment with the gynecologist on the eve of the appointment. Then you need to indicate complaints in a special survey form and answer questions in order to concretize the symptoms and information on your condition. Each subsequent question depends on the answer to the previous one.
For the convenience of patients, special buttons with the wording of the most common complaints have been added to the screen for entering complaints – just press the button with the desired text, and it will appear in the input field. The information received is transmitted to UMIAS and recorded in the inspection protocol of the upcoming appointment. It is important that the physician will be able to correct the previously collected data directly at the appointment, if the patient gives clarifications.
The chatbot is based on algorithms trained on the data of impersonal electronic medical records of patients, as well as information from open reference books and databases on medicine. At the same time, practicing doctors were involved in the development: they helped to develop rules for the artificial intelligence system, developed lists of clarifying questions for the most popular symptoms, conducted testing and provided feedback on its work.
Recall that from the beginning of August digital the assistant also began to help Muscovites enter information about their personal anamnesis into electronic medical records, for example, about injuries, operations, allergies, pathologies, medications taken or lifestyle features. Personal history data can be entered using a chat bot into an electronic medical record after completing a survey on complaints about well-being before visiting a therapist. If the patient or doctor has previously entered this information into the medical record, the chatbot will not collect the anamnesis again. So, since the launch of the new functionality, more than 100 thousand Muscovites have entered their personal anamnesis into an electronic medical record using a chat bot.
The implementation of such solutions has become possible thanks to a unified digital healthcare platform.