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Оптимизация профилактики венозных тромбозов и эмболий в стационаре с использованием информационных технологий

Оптимизация профилактики венозных тромбозов и эмболий в стационаре с использованием информационных технологий

Abstract

Тромбоз глубоких вен и тромбоэмболия легочной артерии представляют собой важнейшую медико-социальную проблему и вносят значительный вклад в структуру смертности и инвалидизации в развитых странах. Несмотря на наличие клинических рекомендаций по профилактике венозных тромбоэмболических осложнений, существует разрыв между научными знаниями о данной проблеме и клинической практикой. Возможным инструментом внедрения клинических руководств в ежедневную практику служат системы поддержки принятия решений (СППР), эффективность которых доказана специальными исследованиями. СППР должны быть основаны на национальных и международных рекомендациях, а условием их эффективного использования является интеграция с другими медицинскими информационными системами и технологическими процессами ведения пациентов.

Deep vein thrombosis and pulmonary embolism are an important medical and social problem, contributing to the structure of morbidity and mortality in the developed countries. Despite the availability of clinical guidelines for the prevention of venous thromboembolic complications there is a gap between scientific knowledge and clinical practice. Clinical decision support systems (CDSS) are confirmed to be effective tool for the implementation of clinical guidelines in daily practice. CDSS should be based on national and international clinical guidelines; their effectiveness depends upon successful integration with other health information systems and care flow processes.

Keywords

СИСТЕМЫ ПОДДЕРЖКИ ПРИНЯТИЯ РЕШЕНИЙ, ТРОМБОЗ ГЛУБОКИХ ВЕН, ТРОМБОЭМБОЛИЯ ЛЕГОЧНОЙ АРТЕРИИ, ПРОФИЛАКТИКА ТРОМБОЭМБОЛИЧЕСКИХ ОСЛОЖНЕНИЙ

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold