优化诊断和操作代码以识别急性侵袭性真菌性鼻窦炎患者。
Optimization of diagnostic and procedural codes to identify patients with acute invasive fungal sinusitis.
机构信息
Clinical Outcomes Research Office, Department of Otolaryngology-Head and Neck Surgery, Washington University School of Medicine in St Louis, St Louis, Missouri, USA.
Cooper Medical School of Rowan University, Camden, New Jersey, USA.
出版信息
Int Forum Allergy Rhinol. 2024 Mar;14(3):728-731. doi: 10.1002/alr.23253. Epub 2023 Aug 22.
Abstract
Acute invasive fungal sinusitis (IFS) is a rare disease with high mortality There is no designated International Classification of Diseases code for IFS We propose a novel method to identify IFS using optimized codes complemented by medications.
摘要
急性侵袭性真菌性鼻窦炎（IFS）是一种罕见的高死亡率疾病。IFS 没有指定的国际疾病分类代码。我们提出了一种使用优化代码并辅以药物来识别 IFS 的新方法。
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