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改善罕见神经肌肉疾病的临床文档记录:标准化信息模型的开发。

Improving Clinical Documentation of Rare Neuromuscular Diseases: Development of a Standardised Information Model.

机构信息

Berlin Institute of Health at Charité, Berlin, Germany.

University Medical Center Goettingen, Goettingen, Germany.

出版信息

Stud Health Technol Inform. 2024 Aug 22;316:1418-1419. doi: 10.3233/SHTI240677.

Abstract

Rare neuromuscular diseases (NMDs) encompass various disorders of the nervous system and skeletal muscles, and present intricate challenges in diagnosis, treatment, and research due to their low prevalence and often diverse multisystemic manifestations. Leveraging collected patient data for secondary use and analysis holds promise for advancing medical understanding in this field. However, a certain level of data quality is a prerequisite for the methods that can be used to analyze data. The heterogeneous nature of NMDs poses a significant obstacle to the creation of standardized documentation, as there are still many challenges to accurate diagnosis and many discrepancies in the diagnostic process between different countries. This paper proposes the development of an information model tailored to NMDs, aiming to augment visibility, address deficiencies in documentation, and facilitate comprehensive analysis and research endeavors. By providing a structured framework, this model seeks to propel advancements in understanding and managing NMD, ultimately benefiting patients and healthcare providers worldwide.

摘要

罕见神经肌肉疾病(NMD)涵盖了神经系统和骨骼肌的各种疾病,由于其发病率低且常常表现为多种系统性症状,在诊断、治疗和研究方面都存在复杂的挑战。利用收集到的患者数据进行二次使用和分析有望推动该领域的医学理解。然而,一定水平的数据质量是可以用于分析数据的方法的前提。NMD 的异质性对标准化文档的创建构成了重大障碍,因为准确诊断仍然存在许多挑战,而且不同国家的诊断过程存在许多差异。本文提出开发一个针对 NMD 的信息模型,旨在提高可见度、解决文档中的缺陷,并促进全面的分析和研究工作。通过提供一个结构化的框架,该模型旨在推动对 NMD 的理解和管理的进展,最终使全球的患者和医疗保健提供者受益。

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