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Komarov Yu.I.

National Medical Research Center of Oncology named after N.N. Petrov;
ITMO University

Kurylev A.A.

N.N. Petrov National Medical Research Center for Oncology

Khrapovitskaya E.Yu.

N.N. Petrov National Medical Research Center for Oncology

Khailova Zh.V.

National Medical Research Center of Radiology;
Russian Medical Academy of Continuous Professional Education

Kaprin A.D.

Hertsen Moscow Oncology Research Institute;
Patrice Lumumba Peoples’ Friendship University of Russia

Belyaev A.M.

N.N. Petrov National Medical Research Center for Oncology

Approaches to the digitization of clinical guidelines

Authors:

Komarov Yu.I., Kurylev A.A., Khrapovitskaya E.Yu., Khailova Zh.V., Kaprin A.D., Belyaev A.M.

More about the authors

Journal: Medical Technologies. Assessment and Choice. 2025;47(2): 39‑47

DOI: 10.17116/medtech20254702139

Read: 689 times

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Table of contents

APPROACHES TO THE DIGITIZATION OF CLINICAL GUIDELINES
APPROACHES TO THE DIGITIZATION OF CLINICAL GUIDELINES

To cite this article:

Komarov YuI, Kurylev AA, Khrapovitskaya EYu, Khailova ZhV, Kaprin AD, Belyaev AM. Approaches to the digitization of clinical guidelines. Medical Technologies. Assessment and Choice. 2025;47(2):39‑47. (In Russ.)
https://doi.org/10.17116/medtech20254702139

 
Подписка 2026 Медицинские технологии. Оценка и выбор (Medical Technologies. Assessment and Choice)
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

OBJECTIVE

To develop the best approach to digitizing clinical guidelines in the Russian Federation.

MATERIAL AND METHODS

An analytical study was conducted at the N.N. Petrov National Medical Research Center for Oncology of the Ministry of Health of Russia using the clinical guidelines “Ovarian cancer/fallopian tube cancer/primary peritoneal cancer.” The methods of flowcharts and notation Business Process Model and Notation (BPMN) 2.0 were used to describe the algorithms and processes.

RESULTS

During the digitization, algorithms for treating patients were created with triggers, logical gateways, tasks, and threads. Two documents were obtained: a graphical version of the process display and a machine-readable description of the process in XML format, which can be used in medical information systems.

CONCLUSION

A methodology based on the coding of specific medical services, drug treatment regimens, and surgical interventions is proposed to digitize clinical guidelines, ensure a full-fledged representation of the patient management algorithm, and use it in medical information systems. Further development of the methodology should aim to use universal markup languages and develop tools convenient for doctors to use.

Keywords:

oncology
digitization
clinical guidelines
digitalization
BPMN
HL7
medical information systems
FHIR

Authors:

Komarov Yu.I.

National Medical Research Center of Oncology named after N.N. Petrov;
ITMO University

Kurylev A.A.

N.N. Petrov National Medical Research Center for Oncology

Khrapovitskaya E.Yu.

N.N. Petrov National Medical Research Center for Oncology

Khailova Zh.V.

National Medical Research Center of Radiology;
Russian Medical Academy of Continuous Professional Education

Kaprin A.D.

Hertsen Moscow Oncology Research Institute;
Patrice Lumumba Peoples’ Friendship University of Russia

Belyaev A.M.

N.N. Petrov National Medical Research Center for Oncology

Received:

30.08.2024

Accepted:

05.11.2024

Close metadata

References:

  1. Engalychev DN, Khodovskiy AA, Levin MB. Methodological approaches for the development of a digital clinical recommendation. Menedzhment v zdravooxranenii: novosti, vzglyady`, obrazovanie Vestnik VShOUZ. 2021;7(3):70-81. (In Russ.). https://doi.org/10.33029/2411-8621-2021-7-3-70-81
  2. Knyazev EG, Samchenko AA, Riumkin KV. The formation of a medical decision support system based on digitization of clinical recommendations using formal logic tools. Menedzhment kachestva v medicine. 2019;(4):52-57. (In Russ.).
  3. Becker M, Böckmann B, Jöckel KH, Stuschke M, Paul A, Kasper S, et al. Mapping Patient Data to Colorectal Cancer Clinical Algorithms for Personalized Guideline-Based Treatment. Applied Clinical Informatics. 2020;11(2):200-209.  https://doi.org/10.1055/s-0040-1705105
  4. Neumann J, Franke S, Rockstroh M, Kasparick M, Neumuth T. Extending BPMN 2.0 for intraoperative workflow modeling with IEEE 11073 SDC for description and orchestration of interoperable, networked medical devices. International Journal of Computer Assisted Radiology and Surgery. 2019;14:1403-1413. https://doi.org/10.1007/s11548-019-01982-6
  5. Beckmann CL, Lodde G, Swoboda J, Livingstone E, Böckmann B. Clinical Medicine Use of Real-World FHIR Data Combined with Context-Sensitive Decision Modeling to Guide Sentinel Biopsy in Melanoma. Journal of Clinical Medicine. 2024;13(11):3353. https://doi.org/10.3390/jcm13113353
  6. Michaels M. Adapting Clinical Guidelines for the Digital Age Adapting Clinical Guidelines for the Digital Age: Summary of a Holistic and Multidisciplinary Approach. American Journal of Medical Quality. 2023;38(5S Suppl 2):S3-S11.  https://doi.org/10.1097/JMQ.0000000000000138
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