Pivot RN

1,357 AI medical devices cleared by the FDA.

Only 3 were tested for whether they actually improve patient outcomes.

Let that sink in.

A new systematic review in PLOS Digital Health found that the vast majority of FDA-cleared AI tools were never evaluated for patient-centered outcomes — not mortality, not morbidity, not quality of life. The 510(k) pathway allows "evidence gaps to propagate through chains of predicate devices," many of which themselves lack rigorous clinical validation.

And yet — the tools are already in our workflows.

This week brought a striking contrast:

✅ The FDA authorized Vitestro's Aletta — the first autonomous robotic blood draw device. Years of trial data. A 95% first-stick success rate. Equity requirements built into the regulatory framework, requiring performance data across different skin tones and vein access difficulty. A 1:3 human supervision ratio written into the authorization itself.

❌ Meanwhile, 1,000+ AI tools are already deployed in clinical settings with no post-market surveillance, no outcome data, and no requirement to prove they work in the populations they're used on.

The FDA says GenAI regulatory guidance is "coming." ECRI just expanded its error reporting network to track AI failures in patient care. These are positive signals — but they're reactive, not proactive.

Here's what nurse leaders can do RIGHT NOW:

1️⃣ Ask for outcome data before adoption, not just accuracy metrics
2️⃣ Demand post-deployment monitoring — use ECRI's reporting network
3️⃣ Comment on the FDA's GenAI discussion paper before 𝗢𝗰𝘁𝗼𝗯𝗲𝗿 𝟭𝟵
4️⃣ Apply a structured evaluation framework — because "AI-powered" isn't the same as "evidence-based"

The PIVOT framework exists because ad-hoc adoption isn't governance. Purpose. Intelligence. Values. Outcomes. Technology. In that order.

What AI tools are currently in your clinical workflow — and when was the last time you asked whether they actually improved patient outcomes?

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I’m honored to share that my article, “W𝘦 𝘈𝘳𝘦 𝘵𝘩𝘦 𝘉𝘳𝘪𝘥𝘨𝘦: 𝘕𝘶𝘳𝘴𝘦 𝘌𝘥𝘶𝘤𝘢𝘵𝘰𝘳𝘴 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘈𝘐 𝘙𝘦𝘢𝘥𝘪𝘯𝘦𝘴𝘴 𝘎𝘢𝘱,” has been published in the Georgia Nursing Newsletter.

In this article, I explore the vital role nurse educators play in preparing nurses to understand, evaluate, and responsibly engage with artificial intelligence. As AI continues to reshape healthcare and nursing education, educators must help bridge the gap between technological advancement and workforce readiness.

I invite you to read the full article: https://www.nursingnetwork.com/newsletters/705?utm_medium=email&utm_source=newsletter-notification

I’m grateful for the opportunity to contribute to this timely conversation and support the continued advancement of nursing education.

— Beverly Procope, PhD, RN

Nursing Network Established in 1907, the Georgia Nurses Association is the largest professional association for registered nurses in the State of Georgia.

Nurses verify everything...
✔️ Lead placement
✔️ Drip rates
✔️ Orders

This is how we protect patients.

𝘎𝘢𝘮𝘦 𝘤𝘩𝘢𝘯𝘨𝘦𝘳;
H𝘦𝘢𝘭𝘵𝘩 𝘪𝘯 𝘊𝘩𝘢𝘵𝘎𝘗𝘛 𝘪𝘴 𝘯𝘰𝘸 𝘢𝘷𝘢𝘪𝘭𝘢𝘣𝘭𝘦 𝘵𝘰 𝘶𝘴𝘦𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦 𝘜𝘯𝘪𝘵𝘦𝘥 𝘚𝘵𝘢𝘵𝘦𝘴.
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Patients will bring AI-generated answers into healthcare conversations.

And nurses will be expected to explain what those answers mean.

ECRI ranked AI chatbot misuse as the top health technology hazard of 2026.

The risk is not AI itself.

𝗜𝘁 𝗶𝘀 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻.

From patients.
From clinicians.
From AI.

𝗔𝗿𝗲 𝘆𝗼𝘂 𝗮𝗻𝗱 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗽𝗿𝗲𝗽𝗮𝗿𝗲𝗱 𝘁𝗼 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝗔𝗜-𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗵𝗲𝗮𝗹𝘁𝗵 𝗮𝗻𝘀𝘄𝗲𝗿𝘀 𝘄𝗶𝘁𝗵 𝗽𝗮𝘁𝗶𝗲𝗻𝘁𝘀?

See what this conversation sounds like in practice.

Well, nurses, here comes one more thing.

ChatGPT Health is giving patients a place to connect health records, review lab results, and ask questions about their health.

And guess who will be helping patients make sense of those answers?

𝗧𝗵𝗲 𝗻𝘂𝗿𝘀𝗲.

Nuses already interpret what the physician said.

Nurses interpret what the patient thought the physician said.

Now, add clarify what the patient read online before the appointment.

“But ChatGPT Health said…”

Another explanation.
Another source of confusion.
Another conversation requiring context, judgment, and reassurance.

𝗧𝗵𝗶𝘀 𝗶𝘀 𝘁𝗵𝗲 𝗽𝗮𝗿𝘁 𝗼𝗳 𝗽𝗮𝘁𝗶𝗲𝗻𝘁-𝗳𝗮𝗰𝗶𝗻𝗴 𝗔𝗜 𝘄𝗲 𝗮𝗿𝗲 𝗻𝗼𝘁 𝗱𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗻𝗴 𝗲𝗻𝗼𝘂𝗴𝗵.

AI might give patients more information. Information does not always create understanding. Sometimes, it creates more questions.

Those questions will show up at the bedside, in the clinic, and in the patient portal.

And once again, nurses will become the interpreters.

The question is not whether patients will use AI.

The question is: 𝘈𝘳𝘦 𝘯𝘶𝘳𝘴𝘦𝘴 𝘱𝘳𝘦𝘱𝘢𝘳𝘦𝘥 𝘧𝘰𝘳 𝘵𝘩𝘦 𝘤𝘰𝘯𝘷𝘦𝘳𝘴𝘢𝘵𝘪𝘰𝘯𝘴 𝘈𝘐 𝘸𝘪𝘭𝘭 𝘣𝘳𝘪𝘯𝘨 𝘪𝘯𝘵𝘰 𝘱𝘢𝘵𝘪𝘦𝘯𝘵 𝘤𝘢𝘳𝘦?

Most conversations about AI in nursing education focus on tools.

The real challenge is preparing educators to teach in a profession where AI is becoming part of clinical practice.

Step 1 is not learning the latest platform

it is earning how to evaluate AI, question its output, protect clinical judgment, and redesign learning experiences for an AI-enabled healthcare system.

The infographic below highlights the gap.

Only 17% of nursing programs currently teach generative AI, while 80% of clinicians want formal AI training. At the same time, healthcare organizations are accelerating implementation.

This is no longer a technology gap.

It is a faculty readiness gap.

If the goal is to prepare graduates to think critically with AI instead of depending on AI, we must first prepare the educators who teach them.

The future of nursing education will be shaped by faculty who know how to develop judgment before technology,

Are you ready?

Complete your AI literacy assessment here: https://api.growthhub365.com/sp/18c1a9f656a

Nurses have always built what healthcare needed next.

Now it is time to build from what you know.

Nurses Who Build helps nurses turn expertise, experience, and clinical judgment into practical income ideas with AI support.

Start with one idea.
Build from your knowledge.
Own your next chapter.

Nurses Who Build is available now: stan.store/pivot-rn/p/nurses-who-build

I asked for a character sketch.

AI gave me a whole personality profile. 😂

The books.
The coffee.
The speaking mic.
The leadership notes.
The purpose-driven reminders.

Not sure how it knew me so well🤔

I’d love to know, which sketch is your favorite? 👇