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多专业医疗编码AI平台提供商CodaMetrix宣布4000万美元B轮融资,通过人工智能提高医疗编码质量和临床丰富索赔数据

CodaMetrix Announces $40M Series B Financing to Advance Medical Coding Quality and Clinically Enrich Claims Data Through AI

Healthcare IT Today | 2024-04-09 | 翻译由动脉网AI生成,点击反馈

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CodaMetrix, the leading artificial intelligence (AI) solution for transforming healthcare and revenue cycle management, today announced that it has closed its $40 million Series B funding round. Transformation Capital led the financing with continued support from existing investors SignalFire, Series A lead, and Frist Cressey Ventures.

CodaMetrix是用于改变医疗保健和收入周期管理的领先人工智能(AI)解决方案,今天宣布已完成其4000万美元的B轮融资。在现有投资者SignalFire、Series A lead和First Cressey Ventures的持续支持下,转型资本主导了融资。

Todd Cozzens, Co-Founder and Managing Partner at Transformation Capital, will join CodaMetrix’s Board of Directors. Series B financing will be used to further advance CodaMetrix’s AI-powered solutions which improve medical coding quality, produce clinically comprehensive data sets, reduce the overall cost of care, and alleviate administrative burden on providers..

Transformation Capital联合创始人兼管理合伙人托德·科森斯(ToddCozzens)将加入CodaMetrix的董事会。B系列融资将用于进一步推进CodaMetrix的人工智能解决方案,该解决方案可提高医疗编码质量,产生临床综合数据集,降低整体护理成本,并减轻提供者的行政负担。。

“Medical coding is one of the most time-consuming, understaffed, and inherently error-prone parts of the health system revenue cycle. Hospitals face a high demand on human and financial resources and clinicians must often work through tedious, administrative processes away from patient care,” said Hamid Tabatabaie, CodaMetrix President and CEO.

CodaMetrix总裁兼首席执行官哈米德·塔巴塔拜(Hamid Tabatabaie)表示:“医疗编码是卫生系统收入周期中最耗时、人手不足且固有的容易出错的部分之一。医院对人力和财力资源的需求很高,临床医生必须经常通过繁琐的行政流程工作,而不需要患者护理。”。

“Our game changing AI platform delivers vital automation which not only addresses these pain points but, more significantly, changes claims data from notoriously unreliable to clinically valuable. We are proud to serve leading provider organizations with a comprehensive and transformative automation solution, setting the standard for coding quality as part of our vision to change healthcare through the use of AI.”.

“我们改变游戏规则的人工智能平台提供了至关重要的自动化,它不仅解决了这些痛点,而且更重要的是,它将索赔数据从臭名昭著的不可靠转变为具有临床价值的数据。我们很自豪能为领先的供应商组织提供全面而变革性的自动化解决方案,为编码质量设定标准,作为我们通过使用人工智能改变医疗保健愿景的一部分。”。

Founded in 2019 and built with today’s AI technology, CodaMetrix has partnered with leading healthcare systems – including Mass General Brigham, University of Colorado Medicine, Mount Sinai Health System, Yale Medicine, Henry Ford Health, and the University of Miami Health System among others to achieve autonomous coding across care specialties including radiology, pathology, GI, surgery, evaluation and management, and many more.

CodaMetrix成立于2019年,采用当今的人工智能技术构建,与领先的医疗保健系统合作,包括马萨诸塞州布莱根将军、科罗拉多大学医学院、西奈山医疗保健系统、耶鲁大学医学院、亨利·福特医疗保健公司和迈阿密大学医疗保健系统等,以实现医疗保健专业的自主编码,包括放射学、病理学、胃肠道、外科、评估和管理等。

On average, providers utilizing the CodaMetrix platform experience a 60% reduction in coding costs, a 70% reduction in claims denials, a 5-week acceleration in time to cash, and improvements in provider satisfaction, quality, and compliance..

平均而言,使用CodaMetrix平台的提供商可以降低60%的编码成本,减少70%的拒绝索赔,缩短5周的兑现时间,并提高提供商的满意度,质量和合规性。。

“Healthcare billing is wrought with inefficiencies and providers are drowning in the resulting administrative burden, making this the perfect area to apply today’s AI technology,” said Cozzens. “The CodaMetrix autonomous coding platform can achieve the highest levels of accuracy and compliance and thus finds more missing codes, which is valuable recovered revenue while also enabling doctors to focus directly on patient care.”.

Cozzens说:“医疗保健计费效率低下,提供者正淹没在由此产生的行政负担中,这使其成为应用当今人工智能技术的完美领域。”。“CodaMetrix自主编码平台可以实现最高水平的准确性和合规性,从而发现更多缺失的代码,这是宝贵的恢复收入,同时也使医生能够直接关注患者护理。”。

About CodaMetrix

关于CodaMetrix

CodaMetrix (CMX) provides an AI-powered platform for multi-specialty medical coding, a $20B annual market, in use at more than a dozen premier provider organizations and health systems, representing more than 200 hospitals and 50,000 providers. The platform is uniquely designed with a comprehensive patient-centric longitudinal view of records.

CodaMetrix(CMX)为多专业医疗编码提供了一个人工智能支持的平台,这是一个每年200亿美元的市场,在代表200多家医院和50000多家提供商的十几家顶级提供商组织和卫生系统中使用。

Built for and by providers, in partnership with Mass General Brigham, the CMX platform provides real-time audit capabilities and seamless EHR integration which are used as a feedback loop to continuously improve AI learning..

CMX平台是为供应商构建的,由供应商与Mass General Brigham合作,提供实时审计功能和无缝EHR集成,作为反馈回路,不断改进人工智能学习。。

CodaMetrix is recognized by KLAS Research as No. 1 in the “Reduce Cost of Care” category.

科达矩阵(CodaMetrix)被KLAS Research认定为“降低护理成本”类别中的第一名。

For more information, visit us at codametrix.com and on LinkedIn.

有关更多信息,请访问codametrix.com和LinkedIn。

Originally announced March 12th, 2024

最初于2024年3月12日宣布

TagsCMX CodaMetrix Frist Cressey Ventures Hamid Tabatabaie Health IT Funding Health IT Fundings Health IT Investment Henry Ford Health Mass General Brigham Mount Sinai Health System SignalFire Todd Cozzens Transformation Capital University of Colorado Medicine University of Miami Health System Yale Medicine .

TagsCMX CodaMetrix First Cressey Ventures Hamid Tabatabaie Health IT Funding Health IT Fundings Health IT Investment Henry Ford Health Mass General Brigham Mount Sinai Health System SignalFire Todd Cozzens Transformation Capital科罗拉多大学医学院迈阿密大学卫生系统耶鲁大学医学院。

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多专业医疗编码AI平台提供商CodaMetrix宣布获得4000万美元B轮融资,通过人工智能提高医疗编码质量并丰富临床索赔数据

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businesswire 2024-03-12 20:15

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