Navina

纳维娜

— a company that uses AI to enable better value-based care — closed a

——一家利用人工智能实现更高质量的价值医疗公司——完成了

$55 million

5500万美元

Series C funding round led by Goldman Sachs on Tuesday, bringing its total funding amount to $100 million.

高盛集团周二领投了C轮融资，使其总融资金额达到1亿美元。

The company, founded in 2018, is based in Israel and New York. It provides an AI copilot that gathers and analyzes patient data from the EHR and other disparate sources to facilitate physicians’ participation in value-based care models.

这家成立于 2018 年的公司总部位于以色列和纽约，提供了一款人工智能副驾工具，可以从电子健康记录 (EHR) 和其他零散来源收集和分析患者数据，从而帮助医生参与基于价值的护理模式。

Ronen Lavi, Navina’s CEO and co-founder, pointed out that providers often face major barriers when transitioning to value-based care arrangements.

罗宁·拉维，纳维娜公司的首席执行官和联合创始人，指出了供应商在向基于价值的护理模式转变时经常面临重大障碍。

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For example, physicians often struggle to access the data they need to deliver on value-based care objectives.

例如，医生常常难以获取实现基于价值的护理目标所需的数据。

Physicians are flooded with and overwhelmed by exponentially growing amounts of data flowing in — from sources like the EHR, claims, wearables and pharmacy records. The information they have to wade through is siloed and often non-chronological, and recent data often can’t be integrated quickly from different sources, Lavi explained..

医生们被来自电子健康记录、索赔、可穿戴设备和药房记录等来源的大量数据淹没，这些数据呈指数级增长。拉维解释说，他们必须费力筛选的信息往往是孤立的且经常是非时间顺序的，而且近期的数据往往无法从不同来源快速整合。

This leads to physician burnout, missed diagnoses and redundant procedures, he added.

他补充说，这导致了医生的倦怠、漏诊和重复的程序。

Physicians’ willingness to participate in value-based care is also a key barrier. Many physicians are worried about meeting the many documentation requirements that come along with value-based care — and oftentimes for good reason. The technology available to them often predates the movement to value-based care, Lavi noted..

医生参与基于价值的护理的意愿也是一个关键障碍。许多医生担心无法满足基于价值的护理所带来的诸多文件要求，而且很多时候这是有充分理由的。拉维指出，他们所使用的技术往往早于基于价值的护理运动。

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Navina’s AI copilot addresses these issues by analyzing and summarizing patient data from various sources — and then providing insights at the point of care.

Navina 的 AI 辅助工具通过分析和总结来自不同来源的患者数据，从而在诊疗时提供有价值的见解，解决了这些问题。

“AI extracts all the points of data and then connects the dots between to get what we call the one source of truth about the patient,” Lavi declared.

“人工智能提取所有的数据点，然后将它们连接起来，得到我们所说的关于患者的唯一真相来源，”拉维宣称。

By giving physicians easy access to relevant patient information in an easy-to-digest format, Navina’s platform seeks to improve diagnostic accuracy, identify care gaps and reduce burnout, he said.

他说，通过让医生以易于理解的格式轻松获取相关患者信息，Navina 的平台旨在提高诊断准确性、发现护理缺口并减少职业倦怠。

Overall, Lavi believes Navina’s solutions gives physicians “all the data they need to have the most efficient and empathic care during any interaction they have with the patient.”

总体而言，拉维认为纳维纳的解决方案为医生提供了“在与患者互动时所需的所有数据，以便提供最高效和富有同理心的护理。”

Navina’s platform serves about 10,000 clinicians across 1,300 clinics.

Navina的平台为1300家诊所的约10000名临床医生提供服务。

Some of the company’s customers include InnovaCare Health, Millennium Physician Group and Privia Health. It also

一些公司的客户包括 InnovaCare Health、Millennium Physician Group 和 Privia Health。它还

recently partnered

最近合作

with primary care company Agilon to deploy its AI copilot among the organization’s 2,800 clinicians.

与初级保健公司Agilon合作，将其AI助手部署到该组织的2800名临床医生中。

Photo: Thai Noipho, Getty Images

照片来源：泰国Noipho，Getty Images