KLAS在 2025年亮点中表彰 HiLabs利用人工智能改善医疗可及性-动脉网

KLAS Recognizes HiLabs in 2025 Points of Light for Improving Access to Care with AI

CISION 等信源发布 2025-05-15 22:30

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BETHESDA, Md.

贝塞斯达，马里兰州

，

May 15, 2025

2025年5月15日

/PRNewswire/ --

/美通社/ --

HiLabs

希尔实验室

, a leader in AI-powered solutions for healthcare data management, has been named a

，一家在医疗数据管理领域利用人工智能解决方案的领导者，已被命名为一个

2025 KLAS Collaborative Points of Light

2025 KLAS 协作亮点

awardee by KLAS Research. This recognition highlights HiLabs' innovative partnership with a leading national health plan to address persistent challenges impacting patient access, provider satisfaction, and regulatory compliance. Specifically, the collaboration focused on improving provider directory accuracy and streamlining provider roster processing—two critical areas central to network integrity and access to care..

KLAS Research授予的获奖者。这一认可突显了HiLabs与一家全国领先的健康计划机构的创新合作，解决了影响患者获取服务、供应商满意度和法规遵从性的长期难题。具体而言，该合作专注于提高供应商目录的准确性并简化供应商名册处理——这是网络完整性和获取医疗服务的两个关键领域。

继续阅读

2025 KLAS Collaborative Points of Light Award

2025 KLAS 协作亮点奖

KLAS Research, a trusted healthcare insights firm known for rigorous industry evaluations, recognized HiLabs for delivering tangible outcomes—including improved data exchange, enhanced directory accuracy, and significant administrative cost reductions. The initiative led to annual operational savings of .

KLAS Research是一家以严格的行业评估而闻名的值得信赖的医疗保健洞察公司，认可HiLabs在提供实际成果方面的表现——包括改进数据交换、提高目录准确性以及显著降低管理成本。该举措带来了每年的运营成本节约。

$80 million

8000万美元

for the payer organization, reinforcing the financial value of adopting intelligent automation.

对于付款方组织，强化采用智能自动化所带来的财务价值。

In its 2025 Points of Light case study, KLAS spotlighted how HiLabs leveraged proprietary, healthcare-specific large language models (LLMs) to address unstructured and inconsistent provider data. This resulted in significantly enhanced accuracy, streamlined processes, and reduced administrative burdens.

在2025年的《亮点案例》研究中，KLAS重点介绍了HiLabs如何利用专有的、针对医疗领域的大语言模型（LLMs）来解决非结构化和不一致的供应商数据问题，从而显著提高了准确性、优化了流程并减轻了行政负担。

。

HiLabs cleansed over 3 million ghost provider locations, raising directory accuracy to 97%,'

HiLabs 清理了超过 300 万个幽灵供应商位置，将目录的准确性提高到了 97%。

the report states,

报告指出，

'directly contributing to higher CMS audit scores helping payers meet regulatory standards and improve data integrity across their member-facing directories.'

“直接有助于提高CMS审计分数，帮助支付方满足监管标准，并改善其面向会员的目录的数据完整性。”

Recognition from KLAS highlights the effectiveness and industry relevance of our AI solutions in solving foundational healthcare data challenges

KLAS的认可突显了我们的AI解决方案在解决基础医疗数据挑战方面的有效性和行业相关性。

,' stated

`,’ 声称`

Amit Garg

阿米特·加格

, CEO, HiLabs.

，首席执行官，HiLabs。

Accurate provider information directly influences patient care, provider satisfaction, and regulatory compliance. Our work has shown that combining AI-driven technology with carefully aligned stakeholder processes can transform complex data management from an ongoing challenge into a strategic advantage.'.

准确的供应商信息直接影响患者护理、供应商满意度和法规遵从性。我们的工作表明，将人工智能驱动的技术与精心协调的利益相关者流程相结合，可以将复杂的数据管理从持续的挑战转化为战略优势。

The KLAS case study also emphasized HiLabs'

KLAS案例研究还强调了HiLabs的

'phased approach to training that helped improve provider buy-in,'

“分阶段的培训方法有助于提高供应商的认可度，”

which included a soft launch, real-time feedback loops, and high-touch onboarding.

其中包括软启动、实时反馈循环和高接触度的引导。

Looking ahead, HiLabs remains committed to expanding its impact through the continued evolution of its provider data platform—addressing both directory accuracy and roster automation. The goal: to equip payers with smarter tools for network optimization, compliance readiness, and frictionless data exchange..

展望未来，HiLabs 仍致力于通过持续发展其供应商数据平台来扩大其影响力——解决目录准确性和名单自动化问题。目标是为支付方提供更智能的工具，以实现网络优化、合规准备和无缝数据交换。

Access the full report here:

在此处访问完整报告：

https://go.hilabs.com/hilabs-recognized-in-klas-2025-points-of-light-report

About KLAS:

关于KLAS：

KLAS Research is a leading independent authority on healthcare IT, distilling frontline feedback from health systems, payers, and investors into rigorous vendor ratings. Its data-driven reports are widely regarded as a benchmark for vendor credibility, offering unmatched transparency, provider validation, and influence in healthcare technology decision-making..

KLAS Research是医疗IT领域领先的独立权威机构，从卫生系统、支付方和投资者那里提炼前线反馈，形成严谨的供应商评级。其数据驱动的报告被广泛视为供应商可信度的基准，提供了无与伦比的透明度、供应商验证，并在医疗技术决策中具有重要影响力。

About HiLabs:

关于HiLabs：

HiLabs is a leader in AI-powered solutions for healthcare data management, that clean dirty data, unlocking its hidden potential for healthcare payers. HiLabs is committed to transforming the healthcare industry through innovation, collaboration, and a relentless focus on improving patient outcomes.

HiLabs 是医疗保健数据管理领域中人工智能解决方案的领导者，能够清理杂乱数据，释放其对医疗支付方隐藏的潜力。HiLabs 致力于通过创新、协作和始终专注于改善患者结果来推动医疗保健行业的变革。

For more information, please visit .

如需更多信息，请访问。

hilabs.com

希尔实验室.com

or contact

或联系

info@hilabs.com

。

SOURCE HiLabs

来源 HiLabs

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