{"title":"Artificial Intelligence (AI) and Men's Health Clinic Efficiency and Clinic Billing.","authors":"Nickolas Kinachtchouk, David Canes","doi":"10.1007/s11934-024-01252-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>Artificial Intelligence (AI) has produced a significant impact across various industries, including healthcare. In the outpatient clinic setting, AI offers promising improvements in efficiency through Chatbots, streamlined medical documentation, and personalized patient education materials. On the billing side, AI technologies hold potential for optimizing the selection of appropriate billing codes, automating prior authorizations, and enhancing healthcare fraud detection. The purpose of this review is to explore the current applications of AI in men's health clinics, with a focus on enhancing clinic efficiency and billing practices.</p><p><strong>Recent findings: </strong>Current uses of AI, including AI-powered Chatbots, Large Language Models (LLM) and Natural Language Processing (NLP), are discussed with a focus on their application in men's health clinics. Additionally, the challenges associated with their implementation are highlighted.</p>","PeriodicalId":11112,"journal":{"name":"Current Urology Reports","volume":"26 1","pages":"23"},"PeriodicalIF":2.5000,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Urology Reports","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11934-024-01252-2","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose of review: Artificial Intelligence (AI) has produced a significant impact across various industries, including healthcare. In the outpatient clinic setting, AI offers promising improvements in efficiency through Chatbots, streamlined medical documentation, and personalized patient education materials. On the billing side, AI technologies hold potential for optimizing the selection of appropriate billing codes, automating prior authorizations, and enhancing healthcare fraud detection. The purpose of this review is to explore the current applications of AI in men's health clinics, with a focus on enhancing clinic efficiency and billing practices.
Recent findings: Current uses of AI, including AI-powered Chatbots, Large Language Models (LLM) and Natural Language Processing (NLP), are discussed with a focus on their application in men's health clinics. Additionally, the challenges associated with their implementation are highlighted.
期刊介绍：
This journal intends to review the most important, recently published findings in the field of urology. By providing clear, insightful, balanced contributions by international experts, the journal elucidates current and emerging approaches to the care and prevention of urologic diseases and conditions.
We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas, such as benign prostatic hyperplasia, erectile dysfunction, female urology, and kidney disease. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An international Editorial Board reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research. Commentaries from well-known figures in the field are also provided.
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