由于数据错误和人员短缺,保健服务提供者面临越来越多的要求被拒绝的情况,尽管AI具有潜力,但它的采用率较低。 Healthcare providers face rising claim denials due to data errors and staffing shortages, with AI adoption low despite its potential.

保健服务提供者面临越来越多的索赔被拒绝和数据错误,41%的保健提供者报告说,由于数据不完整和人员短缺,拒绝率达到或超过10%。 Healthcare providers face rising claim denials and data errors, with 41% reporting denial rates of 10% or higher, driven by incomplete data and staffing shortages. 尽管67%的人认为人工智能可以帮助,但由于对准确性和合规性的担忧,只有14%的人采用了人工智能工具. Despite 67% believing AI can help, only 14% have adopted AI tools due to concerns over accuracy and compliance. 支离破碎的系统和手工工作流程加剧了效率低下,而73%的用户提到收款量下降。 Fragmented systems and manual workflows exacerbate inefficiencies, while 73% cite declining collections. 虽然早期采用者看到否认的情况有所减少,但普遍使用人工智能的情况仍然有限,突出表明了潜力与执行之间的差距。 Though early adopters see reduced denials, widespread AI use remains limited, highlighting a gap between potential and implementation.