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Shangina A.M.

Chazov National medical Research Centre of Cardiology

Benimetskaya K.S.

LLC MedicBook;
Novosibirsk State University

Efremova Yu.E.

Chazov National medical Research Centre of Cardiology

Uranov A.E.

LLC MedicBook

Kovalev E.A.

LLC MedicBook

Mikheenko I.L.

LLC MedicBook;
Meshalkin National Medical Research Center

Losik D.V.

LLC MedicBook

Boytsov S.A.

Chazov National medical Research Centre of Cardiology

Personalized approach to treatment choice using a digital profile of patient with cardiovascular diseases: the features of clinical decision-making support service

Authors:

Shangina A.M., Benimetskaya K.S., Efremova Yu.E., Uranov A.E., Kovalev E.A., Mikheenko I.L., Losik D.V., Boytsov S.A.

More about the authors

Journal: Russian Cardiology Bulletin. 2024;19(4‑2): 105‑112

DOI: 10.17116/Cardiobulletin202419042105

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Table of contents

PERSONALIZED APPROACH TO TREATMENT CHOICE USING A DIGITAL PROFILE OF PATIENT WITH CARDIOVASCULAR DISEASES: THE FEATURES OF CLINICAL DECISION-MAKING SUPPORT SERVICE
PERSONALIZED APPROACH TO TREATMENT CHOICE USING A DIGITAL PROFILE OF PATIENT WITH CARDIOVASCULAR DISEASES: THE FEATURES OF CLINICAL DECISION-MAKING SUPPORT SERVICE

To cite this article:

Shangina AM, Benimetskaya KS, Efremova YuE, et al. . Personalized approach to treatment choice using a digital profile of patient with cardiovascular diseases: the features of clinical decision-making support service. Russian Cardiology Bulletin. 2024;19(4‑2):105‑112. (In Russ.)
https://doi.org/10.17116/Cardiobulletin202419042105

 
Подписка 2025-2 (Russian Cardiology Bulletin)
 
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Digital transformation of healthcare systems including artificial intelligence (AI) technologies and clinical decision-making support systems (CDSS) became popular worldwide. There is a growing need for early diagnosis and treatment of cardiovascular diseases with personalized approach to these issues. We reviewed appropriate foreign and domestic digital solutions in clinical practice. CDSS is valuable for physicians to receive a digitalized cardiovascular status and “hints” about the patient’s risks, examination and treatment in accordance with clinical guidelines considering absolute and relative contraindications, as well as AI-predicted missing important parameters. The doctor is able to choose the most effective and safe drug considering clinical trials and network meta-analysis in CDSS functionality. CDSS analytical dashboards allow the attending physician and healthcare organizer to automate dispensary follow-up by selecting patients with unmet health targets and assess the quality of care. CDSS-based automatic assessment of indications for drugs according to clinical recommendations allows planning preferential drug provision. CDSS has a potential to improve physician adherence to clinical guidelines and facilitate selection of personalized therapy for patients with cardiovascular diseases.

Keywords:

digital medicine
clinical decision-making support system
artificial intelligence
cardiovascular diseases
CVD
personalized medicine

Authors:

Shangina A.M.

Chazov National medical Research Centre of Cardiology

Benimetskaya K.S.

LLC MedicBook;
Novosibirsk State University

Efremova Yu.E.

Chazov National medical Research Centre of Cardiology

Uranov A.E.

LLC MedicBook

Kovalev E.A.

LLC MedicBook

Mikheenko I.L.

LLC MedicBook;
Meshalkin National Medical Research Center

Losik D.V.

LLC MedicBook

Boytsov S.A.

Chazov National medical Research Centre of Cardiology

Received:

28.05.2024

Accepted:

05.07.2024

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