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I've been mentoring nurses on how to use their skills in tech. If you're curious, shoot me a DM. Schedule some time to discuss your future career goals, move away from nursing, or even if you're just looking for a general idea on what nurses do in tech. It's free! I love sharing knowledge and seeing others succeed. Cheers to a great future ahead :)

If it feels like everyone you trained with is suddenly talking about "pivoting into tech," you're not imagining it. Over the past few years, a quiet exodus has been happening across hospitals and clinics: experienced nurses are stepping away from the bedside and walking straight into roles in health tech, informatics, product, and beyond. This isn't a story about burnout (though that's part of it). It's a story about leverage. Nurses are realizing that the skills they built under pressure are exactly what the tech industry is desperate for. Where are nurses actually going? The most common landing spots aren't "learn to code in 12 weeks and become a software engineer." They're roles that sit right at the intersection of clinical knowledge and technology. Clinical informatics is a huge one, where nurses help design and optimize the electronic health record systems they once cursed at. Health tech companies are hiring nurses as clinical product managers, implementation specialists, and clinical advisors because someone has to translate between engineers and the realities of patient care. Others move into UX research, clinical content, medical writing, telehealth operations, and quality and safety roles. And yes, some do go fully technical into data analytics and software, but that's the minority, not the rule. Why tech wants nurses Think about what a single shift demands of you. You triage competing priorities in real time, you document everything with precision because the stakes are life and death, you communicate across teams who don't always speak the same language, and you stay calm when systems fail. That is, almost word for word, the job description for a great product manager or implementation lead. The industry has finally caught on that clinical credibility can't be faked, and the fastest way to get it is to hire people who've lived it. The part nobody tells you The hardest part of the transition usually isn't the skills. It's the identity. Going from "I am a nurse" to "I am figuring out what's next" can feel like losing your footing. The pay cut some people fear often doesn't materialize, and many roles match or beat bedside pay once you factor in no nights, no weekends, and no holidays. The real work is learning to talk about your experience in language a hiring manager outside healthcare understands, and giving yourself permission to start before you feel ready.

I have sat in AI Clinical Governance meetings and typically, only a couple of doctors or nurses are present. None of them KNOW AI. It's even worse that some in attendance DONT KNOW BOTH (Clinical and AI domains). We need NURSES in the frontlines of bedside care to take on responsible Clinical AI decision making in our hospitals and organizations. This is why I believe nurses should be at the forefront, not just in the clinical bedside space but also in the clinical AI space.