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

被引:0
|
作者
Zhu, Christina [1 ,2 ]
Attaluri, Pradeep K. [1 ]
Wirth, Peter J. [1 ]
Shaffrey, Ellen C. [1 ]
Friedrich, Jeffrey B. [3 ]
Rao, Venkat K. [1 ]
机构
[1] Univ Wisconsin, Sch Med & Publ Hlth, Div Plast & Reconstruct Surg, Madison, WI USA
[2] Texas Tech Univ, Hlth Sci Ctr, Sch Med, Lubbock, TX USA
[3] Univ Washington, Div Plast Surg, Seattle, WA USA
关键词
KNOWLEDGE;
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暂无
中图分类号
R61 [外科手术学];
学科分类号
摘要
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.
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页数:6
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