人工智能在计费实践和临床整形手术中的当前应用

Current Applications of Artificial Intelligence in Billing Practices and Clinical Plastic Surgery.

作者信息

Zhu Christina, Attaluri Pradeep K, Wirth Peter J, Shaffrey Ellen C, Friedrich Jeffrey B, Rao Venkat K

机构信息

From the Division of Plastic and Reconstructive Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wis.

Texas Tech University Health Sciences Center School of Medicine, Lubbock, Tex.

出版信息

Plast Reconstr Surg Glob Open. 2024 Jul 1;12(7):e5939. doi: 10.1097/GOX.0000000000005939. eCollection 2024 Jul.

Abstract

Integration of artificial intelligence (AI), specifically with natural language processing and machine learning, holds tremendous potential to enhance both clinical practices and administrative workflows within plastic surgery. AI has been applied to various aspects of patient care in plastic surgery, including postoperative free flap monitoring, evaluating preoperative risk assessments, and analyzing clinical documentation. Previous studies have demonstrated the ability to interpret current procedural terminology codes from clinical documentation using natural language processing. Various automated medical billing companies have used AI to improve the revenue management cycle at hospitals nationwide. Additionally, AI has been piloted by insurance companies to streamline the prior authorization process. AI implementation holds potential to enhance billing practices and maximize healthcare revenue for practicing physicians.

摘要

人工智能(AI)的整合,特别是与自然语言处理和机器学习的整合,在提升整形外科的临床实践和管理工作流程方面具有巨大潜力。AI已应用于整形外科患者护理的各个方面,包括术后游离皮瓣监测、评估术前风险评估以及分析临床文档。先前的研究已经证明了使用自然语言处理从临床文档中解读当前程序术语代码的能力。各种自动化医疗计费公司已经使用AI来改善全国医院的收入管理周期。此外,保险公司已经试点使用AI来简化预先授权流程。AI的实施有可能改善计费实践,并为执业医生最大化医疗收入。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdb9/11216662/0962261abef5/gox-12-e5939-g001.jpg

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