Skip to main content
Number №4, 2025
Legal Sovereignty of the Individual in Digital Healthcare in the Era of Artificial Intelligence
Number №3, 2025
Digital Health: Forecast for 2025-2030
Number №2, 2025
Digital technologies in remote monitoring of childbirth with a Clinical decision support system (CDSS)
Number №1, 2025
Digital technologies for health promotion and disease prevention in older adults
Number №4, 2024
Computer reconstruction of the interaction of genes associated with Angelman syndrome
Number №3, 2024
Telemedicine today: trends in the use of telemedicine consultations based on regional experience
Number №2, 2024
Mobile apps for psychological well-being: user attitudes and definition of requirements
Number №1, 2024
Diagnosis in the era of digital medicine
Number №4, 2023
Artificial intelligence in Russian healthcare: collecting and preparing data for machine learning
Number №3, 2023
China as a supplier of medical equipment in the Russian Federation. Options for cooperation and features of working with Chinese suppliers
Number №2, 2023
Experience in teaching telemedicine in the system of higher professional education The attitude of medical workers to telemedicine technologies
Number №4, 2022
Physician burnout: the hidden healthcare crisis. Results of an online survey of doctors
Number №3, 2022
Interaction of clinical and diagnostic medicine. Results of an online survey of doctors
Number №2, 2022
Mobile applications for mental health self-management: a review of customers’ opinions Ultrasound robots: ready-to-use solutions and perspective directions
Number №1, 2022
Digital transformation of the pathological service as a way to improve the quality of medical care
Number №4, 2021
Clinical guidelines of the Ministry of Health of the Russian Federation: are doctors ready to follow them? Results of an online survey of doctors.
Number №3, 2021
Виртуальная реальность (VR) в клинической медицине: международный и российский опыт
Number №2, 2021
Дистанционные консультации пациентов: что изменилось за 20 лет?
Number №1, 2021
Experience of participation in the blood pressure telemonitoring pilot project of the Ministry of Healthcare
Number №4, 2020
Автоматизация процесса выявления у беременных заболевания COVID-19
Number №3, 2020
Remote cognitive behavioral therapy for stress disorder associated with the COVID-19 pandemic
Number №2, 2020
Distance education at a medical school during the COVID-19 pandemic: the first experience through the eyes of students
Number №1-2, 2018
Ответственность при использовании телемедицины: врач или юрист Скрининг меланомы: искусственный интеллект, mHealth и теледерматология
Number №3, 2018 год
II Всероссийский форум по телемедицине, цифровизации здравоохранения и медицинскому маркетингу «ТЕЛЕМЕДФОРУМ 2019» Эффективность телемедицинских консультаций «пациент-врач» Телереабилитация: рандомизированное исследование исходов
Number №1-2, 2019
Роль искусственного интеллекта в медицине Информационная система поддержки принятия врачебных решений
Number №1, 2020
Technologies for continuous monitoring of blood pressure: prospects for practical application Telemedicine technologies in the Chinese army
Number №2, 2017
Primary telemedicine consultation "patient-doctor": first systematization of methodology
Number №1, 2017
1. A systematic review of using Internet messengers in telemedicine 2. Telemedicine and social networks in the fight against drug addiction
Number №1, 2016
1. The Experience of the Telehealth Network of Minas Gerais, Brazil 2. The Remote Monitoring of Patients with Congestive Heart Failure:The Organizational Impact..
Number №1, 2015
Teleassessment for diagnosis and treatment in urology Efficiency of telemedicine at the northern regions Russian Federation A.L. Tsaregorodtsev

Diagnosis in the era of digital medicine

DOI: 10.29188/2712-9217-2024-10-1-7-32
For citation: Shaderkin I.A., Lebedev G.S., Fomina I.V., Fedorov I.A., Lelyakov A.I. Diagnosis in the era of digital medicine. Russian Journal of Telemedicine and E-Health 2024;10(1):7-32; https://doi.org/10.29188/2712-9217-2024-10-1-7-32
Shaderkin I.A., Lebedev G.S., Fomina I.V., Lelyakov A.I., Fedorov I.A.
Information about authors:
  • Shaderkin I.A. – PhD, Head of the Electronic Health Laboratory of the Center for Digital Medicine of the Institute of Digital Biodesign and Modeling of Living Systems of the Scientific and Technological Park of Biomedicine of the Federal State Autonomous Educational Institution of Higher Education First Moscow State Medical University named after I.M. Sechenov of the Ministry of Health of Russia (Sechenov University), Leading Researcher of the Department of Scientific Foundations of Healthcare Organization of the FSBI «Central Research Institute for Organization and Informatization of Health Care» Ministry of Health of Russia, Moscow, Russia, RSCI Author ID 695560, https://orcid.org/0000-0001-8669-2674
  • Lebedev G.S. – Dr. Sci. (Tech.), Director of the Center for Digital Medicine, Institute of Digital Biodesign and Modeling of Living Systems, Scientific and Technological Park of Biomedicine, First Moscow State Medical University named after I.M. Sechenov, Ministry of Health of Russia (Sechenov University), Chief Researcher of the Department of Scientific Foundations of Healthcare Organization of the Federal State Budgetary Institution «Central Research Institute for Organization and Informatization of Health Care» Ministry of Health of Russia, Moscow, Russia, RISC Author ID 144872
  • Fomina I.V. – PhD, Leading Researcher, FSBI «Central Research Institute for Organization and Informatization of Health Care», Ministry of Health of the Russian Federation, Moscow, Russia, RSCI Author ID 1090797
  • Fedorov I.A. – senior researcher, FSBI «Central Research Institute for Organization and Informatization of Health Care», Ministry of Health of the Russian Federation, Moscow, Russia, RISC Author ID 1119869
  • Lelyakov A.I. – senior researcher at the FSBI «Central Research Institute for Organization and Informatization of Health Care» of the Ministry of Health of the Russian Federation, Moscow, Russia, Author ID 1123275
10364
Download PDF

Classification of diagnoses in medicine is a systematic approach to categorizing and coding various diseases, symptoms, circumstances of seeking medical care, and causes of death. This process has evolved over many centuries, from the first attempts to describe diseases to the creation of the international classifications used today.

Diagnosis is not a static concept and changes as new knowledge emerges in medicine. This is reflected in the constant evolution of diagnoses and the continuous change in existing classifications of diseases. At this point in time, diagnosis carries not so much a clinical burden when making decisions about patient management, but, for the most part, a statistical function, is included as an important tool in health care financing issues, and is actively used in health care organizations.

The authors believe that the diagnosis does not allow solving the problem of transition from a curative (therapeutic) model of healthcare to a preventive one, where it is necessary to work with a healthy person and risk factors.

In some cases, clinicians remain dissatisfied when using an approach where it is necessary to strictly limit clinical tactics to the framework of existing diagnoses dictated by accepted classifications of diseases. The most striking contradictions associated with diagnosis occur when using digital technologies in medicine.

Difficulties associated with assigning a patient a diagnosis in the ICD tree are associated with the insufficient current level of knowledge about the etiology and pathogenesis of the disease. A symptomatic approach to their treatment plays a major role in overcoming the problem associated with a low level of knowledge about diseases.

Attachment Size
Download 1.98 MB
Keywords: diagnosis; evolution; digital medicine; patient phenotyping; clinical guidelines.