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心脏病学中的临床推理:过去、现在与未来。

Clinical Reasoning in Cardiology: Past, Present and Future.

作者信息

Mesquita Evandro Tinoco, Toledo Mayara Gabriele, Prieto Rodrigo da Silva Garcia, Soares Amanda Cunha, Correia Eduardo Thadeu de Oliveira

机构信息

Complexo Hospitalar de Niterói , Niterói , RJ - Brasil.

Universidade Federal Fluminense - Hospital Universitário Antônio Pedro , Niterói , RJ - Brasil.

出版信息

Arq Bras Cardiol. 2022 Sep 2;119(5):793-800. doi: 10.36660/abc.20220002.

DOI:10.36660/abc.20220002
PMID:36074484
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9750203/
Abstract

Clinical reasoning was born 2,500 years ago with Hippocrates, having evolved over the centuries, becoming a mixture of art and science. Several personalities throughout history have contributed to improving diagnostic accuracy. Nonetheless, diagnostic error is still common and causes a severe impact on healthcare systems. To face this challenge, several clinical reasoning models have emerged to systematize the clinical thinking process. This paper describes the history of clinical reasoning and current diagnostic reasoning methods, proposes a new clinical reasoning model, called Integrative Reasoning, and brings perspectives about the future of clinical reasoning.

摘要

临床推理始于2500年前的希波克拉底时代,历经数百年发展,成为一门艺术与科学的混合体。历史上有许多杰出人物为提高诊断准确性做出了贡献。尽管如此,诊断错误仍然很常见,对医疗系统造成了严重影响。为应对这一挑战,出现了几种临床推理模型,以将临床思维过程系统化。本文介绍了临床推理的历史和当前的诊断推理方法,提出了一种名为综合推理的新临床推理模型,并对临床推理的未来发展提出了展望。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb9/9750203/2b59cae47e00/0066-782X-abc-119-05-0793-gf02-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb9/9750203/a9a579fe89fe/0066-782X-abc-119-05-0793-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb9/9750203/ad84c16a3258/0066-782X-abc-119-05-0793-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb9/9750203/a2532fa4f730/0066-782X-abc-119-05-0793-gf01-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb9/9750203/2b59cae47e00/0066-782X-abc-119-05-0793-gf02-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb9/9750203/a9a579fe89fe/0066-782X-abc-119-05-0793-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb9/9750203/ad84c16a3258/0066-782X-abc-119-05-0793-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb9/9750203/a2532fa4f730/0066-782X-abc-119-05-0793-gf01-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb9/9750203/2b59cae47e00/0066-782X-abc-119-05-0793-gf02-en.jpg

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Application of 3D Printing Technology in Heart Failure.3D 打印技术在心力衰竭中的应用。
Heart Fail Clin. 2022 Apr;18(2):325-333. doi: 10.1016/j.hfc.2021.11.002. Epub 2022 Mar 4.
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How heuristics and cognitive biases affect vaccination decisions.启发式和认知偏差如何影响疫苗接种决策。
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Med Educ. 2019 Jun;53(6):628-637. doi: 10.1111/medu.13829. Epub 2019 Mar 27.
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How doctors diagnose diseases and prescribe treatments: an fMRI study of diagnostic salience.医生如何诊断疾病和开具治疗方案:一项关于诊断显著性的 fMRI 研究。
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