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cover of episode Insight 2: Safer by Design: Nurses at the Helm of AI in Healthcare

Insight 2: Safer by Design: Nurses at the Helm of AI in Healthcare

2025/6/19
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Amy McCarthy
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Scott Collado
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Amy McCarthy: 作为首席护理官,我带领团队深度参与人工智能代理的开发与应用。我们设立了两组护士团队,一组负责与AI代理进行日常对话,确保其能够准确、自然地与患者沟通,不断学习和优化沟通技巧。另一组是由护理主任领导的内部团队,负责对AI代理进行严格的监督、评估和内部测试,确保产品在实际应用中的安全性和有效性。我们积累了丰富的经验,熟悉各种应用脚本,能够准确识别潜在风险,从而为患者提供更可靠的保障。在AI代理与患者的每一次通话中,我们都安排护士在线实时监督,确保对话内容完整、准确,避免出现任何遗漏或不当信息。只有当我们和医疗系统合作伙伴都对AI代理的表现感到满意时,才会进入半监督阶段。即使在半监督阶段,我们的内部护士团队也会对每一次通话记录和总结进行全面审查,及时发现并处理任何异常情况。对于患者出现的紧急情况,例如呼吸困难,系统会立即升级给护士进行处理,确保患者能够得到及时的医疗干预。我们进行了大量的通话测试,覆盖各种不同的应用场景,确保AI代理在各种情况下都能表现出色,并且始终处于我们的严密监控之下。即使在AI代理进入自动驾驶阶段后,我们的医疗系统仍然可以随时访问通话记录,护士也会持续参与系统监控,确保任何需要处理的紧急情况都能够得到及时响应和有效处理。从AI代理的最初设计到最终应用,临床医生始终深度参与其中,这充分体现了我们对患者和临床医生安全的高度重视和坚定承诺。我们深知人工智能在医疗领域的应用仍处于探索阶段,因此我们将始终秉持严谨负责的态度,确保每一步都走得稳健而安全。 Scott Collado: 作为产品总监,我始终将临床医生的意见放在首位。在产品和工程决策过程中,我最担心的事情就是没有充分听取临床医生的专业意见。尤其是在医疗保健这个特殊领域,确保倾听专家的声音至关重要。我们始终保持高度谨慎,确保AI系统不会做出任何诊断和临床决策,而是将这些关键决策权留给那些真正了解患者、具备专业知识的医生和护士。我们的目标是准确地将信息传递给患者,帮助他们更好地了解自己的病情和治疗方案,从而做出明智的决定。我们坚信,只有充分尊重临床医生的专业知识和经验,才能开发出真正安全、有效且以患者为中心的人工智能医疗产品。

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Welcome to See You Now Insights, where each week we go back to our library to bring you a piece of wisdom from the over 100 interviews with leading nurses from around the world. I'm Rebecca McEnroy, executive producer for See You Now. This month, we're focusing on safety from start to finish and what it takes to truly ensure safety in every aspect of healthcare. As artificial intelligence becomes more integrated into care delivery, keeping patients safe is

means involving nurses at every stage of AI development. From Episode 102, AI in Play: Smarter Care,

Chief Nursing Officer Amy McCarthy and Product Director Scott Collado of Hippocratic AI talk about why nurses must be part of the process from early design through real-time oversight. They explain how nurses bring the critical expertise and patient-centered perspective that make these tools not only functional, but truly safe and patient-centered. As Scott emphasizes, in this process, nurses aren't a nice to have, they're essential.

So we actually have two different groups of nurses. We have a group of 4,000 nurses who are constantly talking with the agent and making sure that it's learning how to speak with patients. But then I also have an internal team of nurses that's led by our director of nursing. There's about 30 to 40 of them who are supervising and evaluating and making sure that we do our own

internal test of what this product looks like. Because we've worked with these agents for so long and we've worked with different scripts, we know what we're looking for, right? And so there's that added safety feature. But we always have nurses on the line as we start to do these calls. And the reason for that is that they're supervising, they're making sure that again,

The agent is saying what they need to say, that there aren't any gaps in conversation. There aren't any weird things being said throughout. And so we do that for a while until we ourselves are comfortable and our healthcare system partners are also comfortable with it too.

And then once that period is done, we go into what we call a semi-supervised phase, which means we still have nurses eyes on them. Our internal team of nursing reviews every transcript that comes through that call, every summary to make sure that there wasn't anything that was out of the ordinary. There wasn't an abnormal, um,

situation, which is what we refer to as our escalation. If a patient is short of breath, who does it escalate immediately to a nurse, all of that is working. And we, we do that over the course. I mean, sometimes I have 800, 900 calls to make sure that again, that this is, is tested in all different areas and that even our eyes are on this product at all times.

And then after that, that's when we go into more of an autopilot phase. But even then, we in our healthcare systems have access to our transcripts. We have nurses who are a part of this system and who are checking to make sure that if there's an escalation that needs to be dealt with, whether it's immediately or within four to six hours, there is always a human element in that.

And so when you think about that process from end to end, you have a clinician from the very beginning of that agent being delivered out into the public realm, all the way to where we're starting to send it into an autopilot phase. And so that to me just builds on our safety component and our commitment to our patients and to clinicians. This is an unknown territory for so many of us. So we want to do it right.

The number one thing that I am most cautious about as we make product and engineering decisions is not listening to our clinicians in the room. That is really what I'm most cautious about. How do I make sure I'm listening to the experts in the room when I'm building a product, especially in a space like healthcare? Maybe even more so in a space like healthcare. And so that's an area where we're abundantly cautious. How do we make sure that we are not making diagnostic and clinical decisions that

To Amy's point earlier, we're leaving those decisions to the experts, the folks who know their patients and know how to navigate those situations. And we're relaying that information accurately to patients. Product Director Scott Collado and CNO Amy McCarthy of Hippocratic AI from Episode 102, AI in Play, Smarter Care.

Check out this and more from our AI in Play series. Subscribe to see you now and share with your friends from wherever you get podcasts. I'm Rebecca McEnroy. Thanks for listening.