The system of support for medical decision-making in the formation of a rehabilitation diagnosis in the categories of the International Classification of Functioning, Disability and Health
- Authors: Pogonchenkova I.V.1, Kostenko E.V.1, Petrova L.V.1, Burkovskaya Y.V.2
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Affiliations:
- S.I. Spasokukotsky Moscow Centre for Research and Practice in Medical Rehabilitation, Restorative and Sports Medicine of Moscow Healthcare Department
- Research Institute for Healthcare Organization and Medical Management of Moscow Department of Healthcare
- Issue: Vol 68, No 5 (2024)
- Pages: 399-405
- Section: PROBLEMS OF SOCIALLY SIGNIFICANT DISEASES
- Submitted: 14.01.2025
- URL: https://rjonco.com/0044-197X/article/view/646197
- DOI: https://doi.org/10.47470/0044-197X-2024-68-5-399-405
- EDN: https://elibrary.ru/qmldxg
- ID: 646197
Cite item
Abstract
Introduction. Comprehensive rehabilitation of patients is a key task of the national healthcare system. To create an effective rehabilitation program, it is necessary to establish an accurate rehabilitation diagnosis. Designing an individual medical rehabilitation plan based on a biopsychosocial approach, the practical tool of which was the “International Classification of Functioning, Disability and Health” (ICF), has changed the global concept of rehabilitation. A priority in the field of digital healthcare is the introduction of medical decision support systems, one of the tasks of which is to help in diagnosis and minimize medical errors aimed at improving the quality of medical care.
The purpose of the work: to create a software system for making medical decisions in the formation of a rehabilitation diagnosis in the ICF categories.
Materials and methods. content analysis was used to study and analyze medical decision-making systems (foreign and domestic) and the ICF; scientific and methodological work was carried out on the development of software for medical decision-making systems.
Results. based on the work carried out, software has been developed to automate, systematize, and optimize the process of establishing a rehabilitation diagnosis in patients with ischemic stroke, standardize approaches to individualizing diagnosis formulation taking into account the severity of functional disorders.
Research limitations. During the development and description of the software, the capabilities of medical information systems applied in the healthcare of Moscow were used.
Conclusion. The biopsychosocial approach is one of the main principles of modern rehabilitation. Digital healthcare facilitates the integration of decision support systems that improve the quality of medical care. The implementation of the developed program into digital platforms of the healthcare system will reduce time costs and unify the procedure for making a rehabilitation diagnosis and all related processes, consistently preserving the necessary information about the patient.
Compliance with ethical standards. All procedures used in this article comply with the ethical standards of the institution that carried out the work and comply with the Helsinki Declaration as amended in 2013. The study was approved by the Local Ethics S.I. Spasokukotsky Moscow Centre for Research and Practice in Medical Rehabilitation, Restorative and Sports Medicine of Moscow Healthcare Department (Protocol No. 2, 19.04.2023).
Contribution of the authors:
Pogonchenkova I.V. — concept and design of research;
Kostenko E.V. — concept and design of research, writing text, editing;
Petrova L.V. — collection and processing of material, writing text;
Burkovskaya Yu.V. — compilation of a list of references, editing.
All authors — are responsible for the integrity of all parts of the manuscript and approval of the manuscript final version.
Acknowledgment. The study was supported by the Grant of the Government of Moscow No. 1503-7/23.
Conflict of interest. The authors declare the absence of obvious and potential conflicts of interest in connection with the publication of this article.
Received: July 1, 2024 / Accepted: October 3, 2024 / Published: November 6, 2024
About the authors
Irene V. Pogonchenkova
S.I. Spasokukotsky Moscow Centre for Research and Practice in Medical Rehabilitation, Restorative and Sports Medicine of Moscow Healthcare Department
Email: pogonchenkovaiv@zdrav.mos.ru
ORCID iD: 0000-0001-5123-5991
MD, PhD, DSci., Director, S.I. Spasokukotsky Moscow Centre for Research and Practice in Medical Rehabilitation, Restorative and Sports Medicine of Moscow Healthcare Department, Moscow, 127206, Russian Federation
e-mail: pogonchenkovaiv@zdrav.mos.ru
Elena V. Kostenko
S.I. Spasokukotsky Moscow Centre for Research and Practice in Medical Rehabilitation, Restorative and Sports Medicine of Moscow Healthcare Department
Email: ekostenko58@mail.ru
ORCID iD: 0000-0003-0629-9659
MD, PhD, DSci., Professor, Deputy Director for Scientific Work, S.I. Spasokukotsky Moscow Centre for Research and Practice in Medical Rehabilitation, Restorative and Sports Medicine of Moscow Healthcare Department, Moscow, 127206, Russian Federation
e-mail: ekostenko58@mail.ru
Ludmila V. Petrova
S.I. Spasokukotsky Moscow Centre for Research and Practice in Medical Rehabilitation, Restorative and Sports Medicine of Moscow Healthcare Department
Email: ludmila.v.petrova@yandex.ru
ORCID iD: 0000-0003-0353-553X
MD, PhD, Head of the Department of Medical Rehabilitation, S.I. Spasokukotsky Moscow Centre for Research and Practice in Medical Rehabilitation, Restorative and Sports Medicine, Moscow, 127206, Russian Federation
e-mail: ludmila.v.petrova@yandex.ru
Yuliya V. Burkovskaya
Research Institute for Healthcare Organization and Medical Management of Moscow Department of Healthcare
Author for correspondence.
Email: burkovskayayv@zdrav.mos.ru
ORCID iD: 0000-0002-7620-0207
MD, researcher, Research Institute for Healthcare Organization and Medical Management of Moscow Healthcare Department, Moscow, 115088, Russian Federation
e-mail: burkovskayayv@zdrav.mos.ru
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