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新的循证实践:人工智能成为障碍突破者。

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

作者信息

Ferreira Ricardo Maia

机构信息

Department of Sports and Exercise, Polytechnic Institute of Maia (N2i), Maia 4475-690, Porto, Portugal.

Department of Physioterapy, Polytechnic Institute of Coimbra, Coimbra Health School, Coimbra 3046-854, Coimbra, Portugal.

出版信息

World J Methodol. 2023 Dec 20;13(5):384-389. doi: 10.5662/wjm.v13.i5.384.

DOI:10.5662/wjm.v13.i5.384
PMID:38229944
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10789101/
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.

摘要

循证实践的概念已经存在了数年,并且仍然是临床实践的基石,代表着优质患者护理的黄金标准。然而,尽管其重要性已得到广泛认可,但其实际应用仍面临各种挑战和障碍,包括解读研究的技能不足、资源有限、时间限制、语言能力等。最近,我们见证了一场被称为人工智能的突破性技术革命的出现。尽管人工智能已越来越融入我们的日常生活,但部分公众仍存在一些抵触情绪。本文探讨了人工智能作为解决循证实践应用中一些主要障碍的潜力。它强调了人工智能如何有助于跟上最新证据、加强临床决策、解决患者错误信息以及缓解临床实践中的时间限制。将人工智能融入循证实践有可能彻底改变医疗保健,带来更精确的诊断、个性化的治疗方案以及改善医患互动。循证实践与人工智能之间的这种协同作用可能需要对其核心概念进行调整,从而开创医疗保健的新纪元。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d650/10789101/2273a053522b/WJM-13-384-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d650/10789101/2273a053522b/WJM-13-384-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d650/10789101/2273a053522b/WJM-13-384-g001.jpg

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What Artificial Intelligence Means for Health Care.人工智能对医疗保健意味着什么。
JAMA Health Forum. 2023 Jul 7;4(7):e232652. doi: 10.1001/jamahealthforum.2023.2652.
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Artificial Intelligence - Advisory or Adversary?人工智能——顾问还是对手?
Interv Cardiol. 2023 Apr 24;18:e17. doi: 10.15420/icr.2022.22. eCollection 2023.
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Artificial intelligence and academic publishing.人工智能与学术出版。
J Cataract Refract Surg. 2023 Jul 1;49(7):655-656. doi: 10.1097/j.jcrs.0000000000001223.
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Crit Care. 2023 May 10;27(1):180. doi: 10.1186/s13054-023-04473-y.
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Ann Biomed Eng. 2023 Jul;51(7):1360-1361. doi: 10.1007/s10439-023-03205-1. Epub 2023 Apr 15.
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