Effectiveness of Artificial Intelligence (AI) in Clinical Decision Support Systems and Care Delivery.
J Med Syst
; 48(1): 74, 2024 Aug 12.
Article
en En
| MEDLINE
| ID: mdl-39133332
ABSTRACT
This review aims to assess the effectiveness of AI-driven CDSSs on patient outcomes and clinical practices. A comprehensive search was conducted across PubMed, MEDLINE, and Scopus. Studies published from January 2018 to November 2023 were eligible for inclusion. Following title and abstract screening, full-text articles were assessed for methodological quality and adherence to inclusion criteria. Data extraction focused on study design, AI technologies employed, reported outcomes, and evidence of AI-CDSS impact on patient and clinical outcomes. Thematic analysis was conducted to synthesise findings and identify key themes regarding the effectiveness of AI-CDSS. The screening of the articles resulted in the selection of 26 articles that satisfied the inclusion criteria. The content analysis revealed four themes early detection and disease diagnosis, enhanced decision-making, medication errors, and clinicians' perspectives. AI-based CDSSs were found to improve clinical decision-making by providing patient-specific information and evidence-based recommendations. Using AI in CDSSs can potentially improve patient outcomes by enhancing diagnostic accuracy, optimising treatment selection, and reducing medical errors.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Inteligencia Artificial
/
Sistemas de Apoyo a Decisiones Clínicas
Límite:
Humans
Idioma:
En
Revista:
J Med Syst
Año:
2024
Tipo del documento:
Article
País de afiliación:
Arabia Saudita
Pais de publicación:
Estados Unidos