WhatIs.com 09月29日
医疗理赔拒付率持续上升
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医疗理赔拒付率持续上升,41%的医疗提供者在近期调查中报告拒付率超过10%。拒付的主要原因包括数据缺失或错误、先期授权问题、患者注册数据不完整以及服务未覆盖。数据错误问题加剧,提交清晰理赔的难度增加,但多数提供者仍将减少拒付作为优先事项,倾向于通过技术投资解决。

📈 医疗理赔拒付率持续上升,41%的提供者报告拒付率超10%,主要原因为数据缺失或错误、先期授权问题、患者注册数据不完整及服务未覆盖。

⚠️ 数据错误问题加剧,提交清晰理赔的难度增加,多数提供者仍将减少拒付作为优先事项,倾向于通过技术投资解决。

💡 调查显示,约59%的提供者计划在未来六个月内投资理赔处理或拒付减少技术,但仅14%已使用AI辅助减少拒付,62%对AI与自动化、机器学习的区别缺乏了解。

🔬 AI在减少拒付方面的潜力被67%的提供者认可,但存在对AI准确性和HIPAA合规性的担忧,以及培训难度和规则理解不足的问题。

🚀 少数已使用AI的提供者报告其解决方案有效减少拒付并提高重提成功率,未来技术采纳率有望因AI应用而提升。

<p>Claim denial rates continue to increase, with 41% of healthcare providers in a recent <a target="_blank" href="https://www.businesswire.com/news/home/20250922969006/en/Experian-Healths-3rd-Annual-State-of-Claims-Survey-Finds-Denials-Still-on-the-Rise-Amid-Escalating-Challenges" rel="noopener">survey</a> conducted by Experian Health reporting rates of 10% or higher.</p><div class="ad-wrapper ad-embedded"> <div id="halfpage" class="ad ad-hp"> <script>GPT.display('halfpage')</script> </div> <div id="mu-1" class="ad ad-mu"> <script>GPT.display('mu-1')</script> </div> </div> <p>Claim denials have been a major challenge for the healthcare industry, particularly after the <a href="https://www.healthcaredive.com/news/unitedhealthcare-ceo-brian-thompson-fatally-shot-nyc/734557/"&gt;public murder of UnitedHealthcare's CEO</a>, Brian Thompson, late last year. The tragic event put a spotlight on the complexities of healthcare administration that lead to denials and care delays. Providers are also increasingly concerned about their rates, calling <a href="https://www.techtarget.com/revcyclemanagement/news/366626730/Claim-denials-the-biggest-threat-to-revenue-cycle-Survey"&gt;claim denials the biggest threat to their revenue cycles</a>.</p> <p>For the third annual "State of Claims" survey, a third-party panel provider polled 250 healthcare professionals responsible for financial, billing or claims management decisions between June 23 and July 3, 2025. The results showed that more providers are facing higher claim denial rates now. The percentage of respondents saying that their denial rates are 10% of claims or higher has increased from 30% in 2022 and 38% in 2024.</p> <section class="section main-article-chapter" data-menu-title="Endless cycle of claim denials"> <h2 class="section-title"><i class="icon" data-icon="1"></i>Endless cycle of claim denials</h2> <p>Providers are seemingly stuck in a cycle of rising claim denial rates and data errors, Experian Health stated. Once again, the top reasons for claim denials, in order of most denials, are missing or inaccurate claim data, <a href="https://www.techtarget.com/revcyclemanagement/news/366600103/Prior-authorizations-often-denied-adding-to-provider-burden"&gt;prior authorizations</a>, incomplete or incorrect patient registration data, code inaccuracy and services not covered.</p> <p>However, data errors seem to be more common now, with the percentage of providers citing missing or inaccurate claim data and incomplete or incorrect patient registration data increasing slightly compared to last year's findings. What's more, over half of respondents to this year's survey said claim errors are increasing.</p> <p>Submitting clean claims is more challenging than a year ago, according to 68% of providers. The survey indicated that providers are facing longer times for eligibility re-runs and fewer staff to handle claims and denials management.</p> <p>Still, 82% of providers in the survey said reducing denials is a priority for their organizations. Technology investments are the most likely solution to address rising claim denial rates, the survey suggested.</p></section> <section class="section main-article-chapter" data-menu-title="State of claims management technology"> <h2 class="section-title"><i class="icon" data-icon="1"></i>State of claims management technology</h2> <p>Providers are using multiple IT systems to manage denials. For example, 81% of respondents reported using more than one system just for check-in alone, suggesting inefficiencies and redundancies in intake workflows, Experian Health said.</p> <p>With patient registration data errors being a top reason for claim denials, consolidating systems or implementing smarter systems may help to finally cut denial rates.</p> <p>Some providers are already evaluating their <a href="https://www.techtarget.com/revcyclemanagement/feature/Key-Types-of-Revenue-Cycle-Technology-That-Optimize-Operations"&gt;technology stacks</a> to address denials. The survey found that 41% of respondents upgraded or replaced their claims management technology in the past year. Yet, only 56% of respondents said their current claims technology is sufficient to address revenue cycle demands -- significantly less than the 77% of respondents in last year's survey, the survey highlighted.</p> <p>Over half of respondents (55%) are willing to rip and replace their existing claims management platform if it would lead to more return on investment.</p> <p>These technology investments are in the pipeline, the survey indicated. About 59% of respondents said they plan to invest in claims processing and/or denial reduction technology within the next six months.</p></section> <section class="section main-article-chapter" data-menu-title="The potential for AI to reduce denial rates"> <h2 class="section-title"><i class="icon" data-icon="1"></i>The potential for AI to reduce denial rates</h2> <p>Artificial intelligence (<a href="https://www.techtarget.com/searchenterpriseai/definition/AI-Artificial-Intelligence"&gt;AI&lt;/a&gt;) may be the key to technology challenges, the survey indicated. About 67% of respondents said they believe AI can improve the claims process. However, just 14% reported already using AI to help reduce denials.</p> <p>Providers are not totally confident in their understanding of AI and its application to revenue cycle management. Only 62% of respondents were extremely or very knowledgeable of the differences between AI, automation and <a href="https://www.techtarget.com/searchenterpriseai/definition/machine-learning-ML"&gt;machine learning</a>, the survey showed.</p> <p>Experian Health also reported that providers are concerned about the unproven accuracy of AI solutions and whether they are <a href="https://www.techtarget.com/searchhealthit/definition/HIPAA"&gt;HIPAA compliant</a>. Other concerns that have tempered AI enthusiasm include "daunting" training on AI solutions and skepticism of AI's "understanding" of payer-specific rules. The latter reason specifically ties into CMS' latest <a href="https://www.healthcaredive.com/news/dr-mehmet-oz-sworn-in-cms-administrator/745880/"&gt;focus on reducing healthcare fraud, waste and abuse</a>, including improper payments,</p> <p>However, the small group of providers who are currently using AI for denials said the technology is generating results. In the survey, 69% reported that their AI solutions reduced denials and/or increased the success of resubmissions.</p> <p>Most of these providers are also using a combination of in-house and vendor solutions to use AI for denials management.</p> <p>Experian Health said the coming year could be a "turning point for claims management" as technology adoption in this space continues to increase, amplified by AI.</p> <p><i>Jacqueline LaPointe is a graduate of Brandeis University and King's College London. She has been writing about healthcare finance and revenue cycle management since 2016.&nbsp;</i></p></section>

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