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机构地区:[1]Department of Sports and Exercise,Polytechnic Institute of Maia(N2i),Maia 4475-690,Porto,Portugal [2]Department of Physioterapy,Polytechnic Institute of Coimbra,Coimbra Health School,Coimbra 3046-854,Coimbra,Portugal [3]Department of Physioterapy,Polytechnic Institute of Castelo Branco,Dr.Lopes Dias Health School,Castelo Branco 6000-767,Castelo Branco,Portugal [4]Sport Physical Activity and Health Research&Innovation Center,Polytechnic Institute of Viana do Castelo,Melgaço,4960-320,Viana do Castelo,Portugal
出 处:《World Journal of Methodology》2023年第5期384-389,共6页世界方法学杂志
摘 要: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 evidencebased practice and artificial intelligence may necessitate adjustments to its core concept,heralding a new era in healthcare.
关 键 词:EVIDENCE CLINICIANS PATIENTS Artificial intelligence Evidence-based practice
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