AI guards the doctor's time: how technologies reduce the documentation burden in medicine

The Russian Ministry of Health is systematically implementing artificial intelligence to relieve medical workers from administrative work. According to the Minister of Health Mikhail Murashko, new solutions allow analysing electronic medical records in a matter of seconds, instantly highlighting information that is critically important for a doctor, nurse or ambulance crew. Previously, this process could take up to half an hour. The initiative implements the instruction of the President of the Russian Federation to reduce the documentation burden on public sector specialists, including healthcare.

Practitioners are unanimous: neural networks do not make diagnoses and do not replace clinical thinking. However, they are already effectively taking on time-consuming "design" tasks: decoding appointment records, summarising long-term medical records, and verifying compliance with approved standards. In descriptive diagnostics and medical administration, AI is highly effective, freeing up specialists to work with patients. According to doctors, it is precisely such auxiliary functions that can return up to several hours of working time to doctors every day.

Our DialogExpert development is focused on these tasks. The system was created, among other things, to automate routine document management in medical institutions and includes:

- Speech transcription -- accurate translation of doctor-patient dialogues, consultations, and detours into text;

- Isolation of medical entities -- automatic extraction of symptoms, diagnoses, prescriptions, medications, dosages, dates and indicators from unstructured records;

- Summarisation and structuring -- the formation of short extracts for quick data entry into an electronic medical record;

- Integration and configuration -- compatibility with popular IIAs, training in local terminology and flexible adaptation to the regulations of a particular medical institution.

DialogExpert works with professional medical vocabulary, meets the requirements for personal data protection, but it does not replace a medical decision, but speeds up the preparation of documentation, minimising the risks of errors during manual entry.

The introduction of AI into medical document management has already moved from the experimental stage to everyday practice. We are ready to help clinics, diagnostic centres, and network institutions reduce paperwork, standardise card management, and return hours to specialists for live work with patients.