Some hospitals are

一些医院是

finding it difficult

发现它很困难

to scale AI across their enterprise — with this process often complicated by things like inadequate technology infrastructures, varying needs across specialties, and the need for strong data governance.

在企业中扩展人工智能规模——这个过程通常会因技术基础设施不足、各专业领域需求不同以及对强有力的数据治理需求等因素而变得复杂。

When it comes to scaling AI at hospitals, it’s best to start small, iterate, and then scale thoughtfully, said Dr. Kathleen Provanzana, medical director at

当谈到在医院扩展人工智能时，最好从小处着手，反复迭代，然后深思熟虑地进行扩展，凯瑟琳·普罗万扎纳博士说道，她是医疗总监。

OhioHealth

俄亥俄健康

, during a

，期间一个

webinar

网络研讨会

this week.

本周。

“The process begins with action — and don’t let perfect get in the way of good,” she declared.

“这个过程始于行动——不要让完美成为优秀的敌人，”她宣称。

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选择合适的软件可以直接提升客户管理、运营效率以及您的水疗加盟店的增长。发现哪款工具最适合您的业务。

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Her Central Ohio-based health system operates 16 hospitals, hundreds of ambulatory sites, and about 100 primary care offices. It is currently scaling an AI solution that it began piloting in 2022:

她的总部位于俄亥俄州中部的卫生系统经营着16家医院、数百个门诊点和约100家初级保健诊所。该系统目前正在推广自2022年开始试点的人工智能解决方案：

Digital Diagnostics

数字诊断

’ AI system that autonomously diagnoses diabetic retinopathy. The system, called the LumineticsCore platform, uses FDA-cleared AI models to detect diabetic retinopathy from retinal images taken during a primary care visit. The AI delivers same-day diagnostic results without the need for a specialist, allowing for immediate follow-up care..

一种自主诊断糖尿病视网膜病变的AI系统。该系统名为LumineticsCore平台，利用经FDA批准的AI模型，从初级保健就诊期间拍摄的视网膜图像中检测糖尿病视网膜病变。该AI能够在当天提供诊断结果，无需专家参与，从而实现即时的后续护理。

When OhioHealth began its partnership with Digital Diagnostics, the system had about 45,000 diabetic patients in its primary care population. Now that figure has risen to more than 50,000 — and 25-30% of these patients have diabetic retinopathy, Dr. Provanzana said.

当俄亥俄健康中心开始与数字诊断公司合作时，该系统在其初级护理人群中约有45,000名糖尿病患者。普罗万扎纳医生说，现在这一数字已上升到超过50,000人，其中25%-30%的患者患有糖尿病视网膜病变。

Diabetic retinopathy is a diabetes-related eye disease that damages blood vessels in the retina and can lead to vision loss if not detected and treated early.

糖尿病视网膜病变是一种与糖尿病相关的眼病，会损害视网膜中的血管，若不早期发现和治疗，可能导致视力丧失。

When it began piloting Digital Diagnostics’ solution, OhioHealth deployed 10 diagnostic cameras. The health system’s main goal was to improve its diabetic retinopathy screening rate, which was low at 35% in 2021, Dr. Provanzana noted. She also noted additional aims of achieving same-day diagnoses, reducing burden on ophthalmologists and increasing clinic efficiency..

当俄亥俄健康中心开始试用数字诊断公司的解决方案时，部署了10台诊断摄像机。普罗文扎纳博士指出，该卫生系统的主要目标是提高其糖尿病视网膜病变筛查率，2021年这一比例为35%，处于较低水平。她还提到其他目标，包括实现当天诊断、减轻眼科医生的负担以及提高诊所效率。

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“I would also share that it reduces some of the burden on our referral staff. Now that we can screen a patient in the office, we don’t have to do a referral to an external eye care provider unless the patient unfortunately screens negative,” she explained.

“我还想补充一句，这减轻了我们转诊人员的一些负担。现在我们可以在办公室对患者进行筛查，除非患者不幸筛查结果为阴性，否则我们不需要转诊给外部的眼科护理机构，”她解释道。

OhioHealth now has about 40 of Digital Diagnostics’ cameras located across its footprint, Dr. Provanzana stated.

俄亥俄健康中心目前在其覆盖范围内拥有大约40台数字诊断公司的相机，普罗万扎纳博士表示。

One reason that OhioHealth is scaling its use of this AI tool is because it fits well into existing workflows, she noted.

她指出，OhioHealth扩大使用这种人工智能工具的原因之一是它能够很好地融入现有的工作流程。

The platform’s pre-visit planning features flag diabetic patients who are due for eye exams, helping primary care staff to easily prepare orders. Diagnostic results are also delivered immediately in the EHR and provider inbox, and positive results include a referral hyperlink with next steps, Dr. Provanzana said..

该平台的就诊前规划功能会标记出需要进行眼科检查的糖尿病患者，帮助初级保健人员轻松准备医嘱。普罗万扎纳博士说，诊断结果也会立即发送到电子健康记录（EHR）和医生收件箱中，阳性结果包含一个带有下一步操作的转诊超链接。

Throughout the pilot process, OhioHealth learned how much site selection matters — Dr. Provanzana pointed out that the health system now knows to prioritize primary care offices with high volumes and underserved populations.

在整个试点过程中，OhioHealth认识到场地选择的重要性——普罗文扎纳博士指出，该卫生系统现在知道要优先考虑那些接诊量大且服务不足人群的初级保健诊所。

She also highlighted the importance of provider buy-in.

她还强调了供应商认同的重要性。

“We have some staff who have seen the ravages of diabetes — affecting patients or loved ones, robbing them of their sight — and they became champions in their offices. We had to have providers who really saw the value of screening in primary care. We had some providers that were very much tied to the gold standard of a full ophthalmologic exam — and there’s no harm in that, certainly.

“我们有些员工亲眼目睹了糖尿病的破坏性影响——它影响患者或亲人，夺走他们的视力——于是他们成为了办公室里的倡导者。我们必须有真正认识到在初级保健中进行筛查价值的医疗服务提供者。我们有一些服务提供者非常坚持全面眼科检查这一黄金标准——这当然没有任何坏处。

But if your patient’s not getting to that ophthalmologist, then what good are we doing by holding on to that idea?” Dr. Provanzana explained..

但如果你的病人没有去看眼科医生，那么我们坚持这个想法又有什么用呢？普罗万扎纳博士解释说。

Overall, OhioHealth saw a 162% increase in diabetic eye exams within 12 months of adopting Digital Diagnostics’ solution — as well as a 1.7 increase in positive diagnoses year-over-year.

总体而言，OhioHealth 在采用 Digital Diagnostics 的解决方案后的 12 个月内，糖尿病眼科检查增加了 162%，而阳性诊断的年同比增加了 1.7 倍。

Once integrated into staff members’ workflows, the AI-based screening becomes routine — just like checking a vital sign, Dr. Provanzana declared.

普罗万扎纳博士宣称，一旦融入员工的工作流程，基于人工智能的筛查就会变得例行化——就像检查生命体征一样。

Photo: Flickr user Rakesh Rocky

照片来源：Flickr 用户 Rakesh Rocky