Unlocking effective decision-making and critical thinking in orthopaedics: Insights from a narrative review

Q2 Medicine
A.S.P.V.S. Saketh , Krishna Subramanyam , Satvik N. Pai , Karthika Padmavathy , Karthick Rangasamy , Purushothaman Muthukanagaraj
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引用次数: 0

Abstract

Background

Clinical decision-making and critical thinking are vital in orthopaedic practice, directly impacting patient outcomes. Surgeons often face complex cases requiring both experience and systematic reasoning to ensure the best treatment approach. This review aims to explore the factors influencing decision-making in orthopaedics, focusing on the role of critical thinking in enhancing clinical choices. It examines decision-making frameworks, cognitive biases, and the importance of evidence-based practices. Additionally, the review discusses the increasing role of artificial intelligence (AI) and decision support systems in aiding clinical decisions.

Methods

This review analyzes peer-reviewed literature published from 2011 to 2024, covering case studies, surveys, qualitative research, and systematic reviews. Databases like PubMed, Scopus, Web of Science (WoS), and Google Scholar were used to source relevant articles. The focus was on decision-making frameworks, cognitive biases, and AI integration in orthopaedics, particularly studies on AI and data analytics in improving decision support systems.

Results

Structured decision-making frameworks and mentorship play a key role in enhancing critical thinking. Cognitive biases, such as confirmation and anchoring bias, are significant challenges. AI and evidence-based guidelines help improve clinical decisions by offering data-driven insights.

Conclusions

Optimizing clinical decision-making requires structured education, critical thinking development, and AI integration to improve patient outcomes and streamline decision-making.
在骨科中释放有效的决策和批判性思维:来自叙述回顾的见解
临床决策和批判性思维在骨科实践中至关重要,直接影响患者的预后。外科医生经常面对复杂的病例,需要经验和系统的推理来确保最佳的治疗方法。本文旨在探讨影响骨科决策的因素,重点关注批判性思维在提高临床选择中的作用。它考察了决策框架、认知偏见和循证实践的重要性。此外,本文还讨论了人工智能(AI)和决策支持系统在辅助临床决策方面日益重要的作用。方法分析2011年至2024年发表的同行评议文献,包括案例研究、调查研究、定性研究和系统综述。使用PubMed、Scopus、Web of Science (WoS)和谷歌Scholar等数据库来获取相关文章的来源。重点是决策框架、认知偏差和人工智能在骨科中的集成,特别是人工智能和数据分析在改进决策支持系统方面的研究。结果结构化的决策框架和指导在增强批判性思维方面发挥了关键作用。认知偏差,如确认和锚定偏差,是重大挑战。人工智能和基于证据的指南通过提供数据驱动的见解来帮助改善临床决策。结论优化临床决策需要结构化教育、批判性思维培养和人工智能集成,以改善患者预后和简化决策。
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来源期刊
Journal of Clinical Orthopaedics and Trauma
Journal of Clinical Orthopaedics and Trauma Medicine-Orthopedics and Sports Medicine
CiteScore
4.30
自引率
0.00%
发文量
181
审稿时长
92 days
期刊介绍: Journal of Clinical Orthopaedics and Trauma (JCOT) aims to provide its readers with the latest clinical and basic research, and informed opinions that shape today''s orthopedic practice, thereby providing an opportunity to practice evidence-based medicine. With contributions from leading clinicians and researchers around the world, we aim to be the premier journal providing an international perspective advancing knowledge of the musculoskeletal system. JCOT publishes content of value to both general orthopedic practitioners and specialists on all aspects of musculoskeletal research, diagnoses, and treatment. We accept following types of articles: • Original articles focusing on current clinical issues. • Review articles with learning value for professionals as well as students. • Research articles providing the latest in basic biological or engineering research on musculoskeletal diseases. • Regular columns by experts discussing issues affecting the field of orthopedics. • "Symposia" devoted to a single topic offering the general reader an overview of a field, but providing the specialist current in-depth information. • Video of any orthopedic surgery which is innovative and adds to present concepts. • Articles emphasizing or demonstrating a new clinical sign in the art of patient examination is also considered for publication. Contributions from anywhere in the world are welcome and considered on their merits.
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