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New evidence-based practice: Artificial intelligence as a barrier breaker.

Authors :
Ferreira RM
Source :
World journal of methodology [World J Methodol] 2023 Dec 20; Vol. 13 (5), pp. 384-389. Date of Electronic Publication: 2023 Dec 20 (Print Publication: 2023).
Publication Year :
2023

Abstract

The concept of evidence-based practice has persisted over several years and remains a cornerstone in clinical practice, representing the gold standard for optimal patient care. However, despite widespread recognition of its significance, practical application faces various challenges and barriers, including a lack of skills in interpreting studies, limited resources, time constraints, linguistic competencies, and more. Recently, we have witnessed the emergence of a groundbreaking technological revolution known as artificial intelligence. Although artificial intelligence has become increasingly integrated into our daily lives, some reluctance persists among certain segments of the public. This article explores the potential of artificial intelligence as a solution to some of the main barriers encountered in the application of evidence-based practice. It highlights how artificial intelligence can assist in staying updated with the latest evidence, enhancing clinical decision-making, addressing patient misinformation, and mitigating time constraints in clinical practice. The integration of artificial intelligence into evidence-based practice has the potential to revolutionize healthcare, leading to more precise diagnoses, personalized treatment plans, and improved doctor-patient interactions. This proposed synergy between evidence-based practice and artificial intelligence may necessitate adjustments to its core concept, heralding a new era in healthcare.<br />Competing Interests: Conflict-of-interest statement: Ricardo Maia Ferreira has no conflit of interest to declare.<br /> (©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.)

Details

Language :
English
ISSN :
2222-0682
Volume :
13
Issue :
5
Database :
MEDLINE
Journal :
World journal of methodology
Publication Type :
Editorial & Opinion
Accession number :
38229944
Full Text :
https://doi.org/10.5662/wjm.v13.i5.384