TechCrunch News 2024年10月25日
YC startup Pharos lands a $5M seed led by Felicis to bring AI to quality reporting
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医疗和行政人员每天被大量文书工作困扰,众多初创公司借助生成式AI减轻负担。Pharos公司应用AI解决医院向外部临床登记处的质量报告这一行政功能。该功能虽非强制,但对医院有益,然而报告过程极其耗时。Pharos的创始人认识到AI可自动处理相关数据,该公司获得500万美元种子轮融资。

🎈Pharos公司是Y Combinator 2024年夏季队列的一部分,其看到医院在向外部临床登记处进行质量报告时面临的难题,决定利用AI来解决,以减轻医院的负担。

💉像Centers for Medicare & Medicaid Services(CMS)和美国外科医师学会等组织,旨在衡量每个医疗保健中心为患者提供安全有效护理的记录,医院向这些登记处报告虽非强制,但通常符合医院的最佳利益。

📄报告给登记处的工作极为耗时,护士和其他工作人员需手动筛选每个患者的电子健康记录以提取所需的精确数据,而Pharos认识到AI可从EMRs中获取非结构化数据并自动填充登记处所需的表格。

💰Pharos获得了由Felicis领投,General Catalyst、Moxxie和Y Combinator参与的500万美元种子轮融资,其不仅能为医院节省资金、解放护士时间,且该领域暂无其他初创公司竞争。

Medical and administrative staff are increasingly overwhelmed with piles of paperwork they have to fill out every day.

Dozens, if not hundreds, of startups, are seeing opportunities to make those bureaucratic processes less burdensome with the help of generative AI. These companies are building AI medical scribes, platforms for pre-authorizing health insurance payments, and products for automatically extracting medical coding from patients’ electronic medical records (EMRs.)

But Pharos, a company that was a part of Y Combinator’s summer 2024 cohort, is applying AI to tackle another somewhat under-the-radar administrative function for hospitals: quality reporting to external clinical registries.  

Organizations like Centers for Medicare & Medicaid Services (CMS) and the American College of Surgeons aim to measure each healthcare centers’ record on delivering safe and effective care for patients. Although reporting to these registries is not always mandatory, it’s often in the best interest of hospitals. These external organizations play a crucial role in identifying quality issues (such as an increase in post-surgery infections), which can be addressed to improve patient care.

However, reporting to the registries is extremely time-consuming. Nurses and other staff must manually sift through each patient’s electronic health record to extract the precise data required for each registry. “A single case can take up to eight hours” to report, said Ryan Isono, a partner at Felicis, “It’s a big problem, but one that you only know about if you’re deep in the industry.”

Indeed, Pharos was co-founded by Felix Brann and Matthew Jones, who had some exposure to the challenges of reporting data to medical registries from their prior work at Vital, a startup that develops software for emergency rooms. They recognized that AI can take unstructured data from EMRs and automatically populate forms required by registries. As they went through YC earlier this year, they added another co-founder – Alex Clarke, a medical doctor who also holds a PhD in artificial intelligence from Imperial College London.

On Friday, Pharos announced that Felicis, with participation from General Catalyst, Moxxie and Y Combinator, led its $5 million seed round.

Pharos caught Felicis’ eye not only because the company could save hospitals money and free up nurses’ time for taking care of patients, but also because the area still doesn’t have other startups going after it, Isono said.

Brann (pictured center above) predicts that other quality reporting companies will emerge soon. “We have five years of experience selling and deploying into hospitals, and we have top-tier AI talent,” he said.” That Venn diagram doesn’t normally overlap. That’s why we think we’re going to win.”

For now, the entire Pharos team consists only of the three co-founders, but they will be using the capital to hire a team that will help the company sell the product and maintain relationships with hospitals. 

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Pharos AI医疗 质量报告 医院管理
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