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Early Analysis of Surgical Robotic Procedures Found Missed Billable Steps in 16% of Cases and a ~10% Reimbursement Gap, Highlighting Broader Breakdowns in How Surgery Is Understood and Documented
对手术机器人操作的早期分析发现,16%的病例中存在遗漏的可计费步骤,报销缺口约为10%,凸显出在手术的理解与记录方面存在更广泛的系统性问题
Uncovr
Uncovr
, a surgical AI company transforming how surgery is analyzed, documented, coded, and learned, has today announced $7 million in seed funding led by Index Ventures, with participation from Seedcamp, Frst, No Label Ventures, and Entrepreneurs First. The round also includes Jean Nehme (Founder of Digital Surgery, acquired by Medtronic), Othman Laraki (CEO at Color Health), and Charlie Songhurst (Meta Board Member) alongside a group of exceptional surgeons and operators.
,一家正在变革手术分析、记录、编码及学习方式的 Surgical AI 公司,今日宣布完成由 Index Ventures 领投的700万美元种子轮融资,Seedcamp、Frst、No Label Ventures 和 Entrepreneurs First 参与投资。本轮融资还吸引了 Digital Surgery(已被美敦力收购)创始人 Jean Nehme、Color Health 首席执行官 Othman Laraki、Meta 董事会成员 Charlie Songhurst 以及一群杰出的外科医生和行业运营专家参与。
Uncovr is already working with leading hospitals in the US and Europe and has built a pipeline representing more than 400 operating rooms. In a few months, their system has analyzed thousands of hours of surgical video, building the first AI systems capable of turning complex surgical procedures into structured clinical and operational data at scale..
Uncovr 已与美国和欧洲的领先医院展开合作,并构建了涵盖400多间手术室的产品管线。在短短几个月内,其系统已分析了数千小时的手术视频,打造出首批能够大规模将复杂手术过程转化为结构化临床和运营数据的人工智能系统。
Uncovr automatically generates procedural coding and operative reports directly from surgical video and intraoperative workflow data, enabling hospitals to automate coding from the ground truth of a procedure rather than from documentation written after the fact. The platform improves reimbursement accuracy, strengthens clinical records, and increases visibility into surgical workflows across the operating room.
Uncovr 能够直接从手术视频和术中工作流数据中自动生成程序化编码和操作报告,使医院能够基于手术的真实情况而非事后撰写的文档来实现编码自动化。该平台提高了报销准确性,强化了临床记录,并增强了对整个手术室手术工作流的可见性。
The platform is being deployed across operating rooms in the U.S. and Europe..
该平台正在美国和欧洲的手术室中部署。
More than 400 million surgeries are performed each year globally, and the majority are now captured on video through minimally invasive and robotic techniques. Yet after surgery, the operative report, the official record of a procedure, is still reconstructed manually from memory, by an exhausted surgeon juggling cases – often hours after the event has taken place.
全球每年进行的手术超过4亿台,其中大多数现在都通过微创和机器人技术以视频形式记录下来。然而,术后作为手术官方记录的手术报告仍然由疲惫不堪、忙于处理多个病例的外科医生凭记忆手动重建——这通常是在手术结束数小时之后才完成的。
That operative report becomes the legal and clinical record of the procedure, the basis for billing, compliance, and the reference for future patient care. As a result, critical details are frequently lost, and much of the data generated in the operating room remains unused..
该手术报告成为手术的法律和临床记录,是计费、合规的依据,也是未来患者护理的参考。因此,关键细节常常丢失,手术室中产生的大量数据仍未被利用。
Alongside the funding, Uncovr is releasing findings from an initial real-world analysis of its deployed cases: missed billable steps in 16% of procedures and a ~10% reimbursement gap – driven entirely by documentation gaps that human review had not caught. The revenue was there. It simply was not written down.
在获得资金的同时,Uncovr 发布了对其已部署案例进行的初步真实世界分析结果:16% 的手术存在遗漏的可计费步骤,报销缺口约为 10%,这完全是由人工审核未能发现的文档记录缺失所致。收入本就存在,只是未被如实记录。
The finding echoes a growing body of evidence showing a lack of details in the operative report. .
这一发现与越来越多的证据相呼应,这些证据表明手术报告中缺乏详细信息。
A multi-institutional study of more than 1,000 surgical cases across 500 health systems found that most operative reports fail to report at least 70% of recommended clinical information
一项涵盖500个医疗系统、超过1,000例手术病例的多机构研究发现,大多数手术报告未能记录至少70%的推荐临床信息。
– directly linked to higher rates of infection, readmission, and reoperation. These are not two problems. They are the same problem: the operative report is the single artifact that connects what a surgeon did to what a patient receives next, and to what a hospital gets paid. When it is incomplete, everything downstream suffers..
– 与更高的感染率、再入院率和再次手术率直接相关。这并非两个独立的问题,而是同一个问题:手术记录是唯一将外科医生的操作、患者后续接受的治疗以及医院获得的付款联系起来的单一凭证。当手术记录不完整时,下游的所有环节都会受到影响。
Uncovr addresses this gap by analyzing the only true source of procedural information: the surgical or endoscopic video captured in real time. Rather than relying solely on an operative report written after the fact, its proprietary models identify the steps performed during a procedure and automatically generate procedural coding and clinical documentation directly from the ground truth..
Uncovr 通过分析程序性信息的唯一真实来源——即实时捕获的手术或内窥镜视频——来弥补这一空白。其专有模型不依赖于事后书写的 operative report,而是识别手术过程中执行的步骤,并直接根据真实数据自动生成程序性编码和临床文档。
By grounding coding and documentation in what actually happened during a procedure, Uncovr helps hospitals capture revenue more accurately, improve compliance, strengthen clinical records, and create a structured procedural dataset for future surgical AI systems.
Uncovr 通过将编码和文档建立在手术过程中实际发生的情况之上,帮助医院更准确地获取收入、提高合规性、加强临床记录,并为未来的外科人工智能系统创建结构化的手术数据集。
“At Uncovr, we are taking what actually happens in the operating room and turning it into something that can be reliably captured and used,” said Ines Iraki, Co-Founder and CEO. “Surgeons should not have to spend their time reconstructing from memory what a camera has already captured and becoming medical coders.
“在Uncovr,我们将手术室中实际发生的情况转化为能够被可靠捕捉和应用的数据,”联合创始人兼首席执行官伊内斯·伊拉基表示。“外科医生不应耗费时间,凭记忆去还原摄像机已经记录下的内容,也不应被迫承担医疗编码员的工作。”
The bigger opportunity is what comes after. Every robotic and minimally invasive procedure already generates a rich record of expert decision-making, technique, and judgment. We believe this will become one of the foundational datasets of modern medicine – the basis for how surgical knowledge gets transmitted and applied at scale.
更大的机遇在于后续的发展。每一次机器人辅助和微创手术都已经生成了丰富的专家决策、技术和判断记录。我们相信,这将成为现代医学的基础数据集之一,是外科知识得以大规模传播和应用的基础。
Surgery has always been learned by watching. For the first time, AI makes it possible to capture, structure, and transmit that knowledge at scale.”.
外科手术一直以来都是通过观察来学习的。人工智能首次使得大规模捕获、结构化和传播这类知识成为可能。
Beyond operative reports, Uncovr uses surgical video as the source of truth to automatically generate procedural coding, capture missed reimbursement opportunities, and create structured clinical records that can be used across documentation, compliance, quality, and research.
除了手术报告之外,Uncovr 还利用手术视频作为真实数据源,以自动生成操作编码、捕捉被遗漏的报销机会,并创建可用于文档记录、合规性、质量控制及研究的结构化临床病历。
“When we looked at our own cases, we saw clear gaps between what actually happened in the operating room and what was captured in the record and by the codes,” said Dr. Prakash Gatta, Medical Director of Complex Foregut Surgery at Texas Health Resources and VP of Clinical and Medical Affairs at Uncovr.
“当我们审视自己的病例时,我们发现手术室中实际发生的情况与病历记录及编码之间存在明显差距。”德克萨斯健康资源公司复杂前肠外科医疗总监、Uncovr公司临床与医疗事务副总裁普拉卡什·加塔博士表示。
“That has real implications, not just for reimbursement but also for compliance, coding, clinical safety, and continuity of care. This isn’t a marginal issue; it’s a structural gap in how surgery is documented today.”.
“这具有切实的影响,不仅关乎报销,还涉及合规性、编码、临床安全以及护理的连续性。这不是一个边缘性问题,而是当前手术记录方式中存在的结构性缺陷。”
“Ines, Eric, and Johann have done something rare: earned adoption inside one of healthcare’s hardest environments and moved incredibly fast once inside. By structuring what happens in the OR, Uncovr is building a highly valuable dataset for surgical AI,” said Martin Mignot, Partner at Index Ventures..
“伊内斯、埃里克和约翰完成了一件罕见的事:在医疗保健行业最难渗透的环境之一中赢得了采纳,并在进入后以惊人的速度推进。通过规范手术室中的操作流程,Uncovr 正在为外科人工智能构建一个极具价值的数据集。”Index Ventures 合伙人马丁·米尼奥表示。
Founded in 2025 by Ines Iraki (CEO), Johann Diep (CTO), and Prof. Eric Vibert (Medical Co-Founder), Uncovr was shaped by firsthand experience across surgery, autonomous systems, and frontier AI. While working on healthcare, Iraki spent time inside operating rooms and became obsessed with the gap between what surgical systems capture and what hospitals are actually able to use.
Uncovr 由首席执行官 Ines Iraki、首席技术官 Johann Diep 和医学联合创始人 Eric Vibert 教授于 2025 年共同创立,其发展深受创始团队在外科手术、自主系统和前沿人工智能领域的第一手经验影响。在从事医疗健康工作期间,Iraki 深入手术室进行实地观察,并深刻意识到手术系统所采集的数据与医院实际能够应用的数据之间存在巨大差距,这一问题令她深感关切。
Vibert, Chief of Surgery at AP-HP, spent years confronting the clinical consequences of incomplete operative reporting, while Diep previously developed AI systems for autonomous environments in defense and at the European Space Agency..
维贝尔是AP-HP的外科主任,多年来一直面对不完整手术报告带来的临床后果;而迪普此前曾在国防领域和欧洲航天局为自主环境开发人工智能系统。
The team includes engineers, surgeons, and medical coders from institutions including ETH Zurich, École Polytechnique, AP-HP, Mayo Clinic, HEC Paris, and Texas Health Resources/Texas Christian University. The company has expanded across Paris and New York and is accelerating deployment with leading health systems in the U.S.
该团队由来自苏黎世联邦理工学院、巴黎综合理工学院、巴黎公立医院集团、梅奥诊所、巴黎高等商学院以及德克萨斯健康资源/德克萨斯基督教大学等机构的工程师、外科医生和医疗编码员组成。公司业务已扩展至巴黎和纽约,并正在加速在美国主要医疗系统中的部署。
and Europe. The operative report is only the first application. Every year, hundreds of millions of procedures generate one of healthcare’s richest yet least utilized datasets. By transforming surgical video into structured intelligence, Uncovr is building the infrastructure layer for surgical AI, paving the way for real-time assistance, smarter operating rooms, and safer procedures at scale..
以及欧洲。手术报告仅是其首个应用场景。每年,数以亿计的手术操作产生了医疗健康领域最丰富却最少被利用的数据集之一。通过将手术视频转化为结构化智能,Uncovr 正在构建手术人工智能的基础设施层,为实时辅助、更智能的手术室以及大规模更安全的手术操作铺平道路。
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About Uncovr
关于 Uncovr
Uncovr
Uncovr
is building the system of record for surgery and endoscopy, automatically generating operative reports and procedural coding from surgical video and intraoperative workflow data. By transforming what happens inside the operating room into structured clinical intelligence, Uncovr is creating the infrastructure layer for computational surgery.
正在构建手术与内镜检查的系统记录,通过手术视频和术中工作流数据自动生成手术报告和操作编码。通过将手术室内部发生的情况转化为结构化的临床智能,Uncovr 正在为计算外科创建基础设施层。
The company is headquartered in New York and Paris and backed by Index Ventures, with participation from Seedcamp, Frst, No Label Ventures, Baobab Ventures, and leading angel investors..
公司总部位于纽约和巴黎,由 Index Ventures 支持,Seedcamp、Frst、No Label Ventures、Baobab Ventures 以及知名天使投资人也参与了投资。
Originally announced June 10th, 2026
最初于2026年6月10日宣布
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