Most nurse-facing AI gets designed by people who've never worked a 12-hour shift. There is a better way. On July 28 at 12pm ET, Amy McCarthy our Chief Nursing Officer, is joining Becker's Healthcare alongside nursing leaders from Cincinnati Children's, Memorial Hermann Health System, and OhioHealth for a candid conversation on what it actually took to build an autonomous, patient-facing voice assistant — co-designed with nurses from the ground up. What they will discuss: 🩺 Why nurse involvement is what separates adoption from abandonment and ensures better patient outcomes 🏥 The real change-management and trust-building work behind sustainable adoption 🫶 How to bring AI to the bedside without losing the human connection at the center of care Register to join: https://lnkd.in/guWyjXB4
Nurses Co-Design AI for Patient Care
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spot on Augmented intelligence is human and non-human intelligence that enhances, expands, and engages humans. Artificial intelligence is t human VERSUS non-human intelligence where there are winners, losers, and a zero-sum game. Language is foundational to framing an effective, efficient, and sustainable paradigm.
A week from today, I'm joining Becker's Healthcare alongside nursing leaders from Cincinnati Children's, Memorial Hermann Health System, and OhioHealth to talk about something I don't think gets talked about enough in healthcare AI: what actually happens when you build with nurses instead of for them. We'll be candid about what it took to turn that into genuine trust in an AI voice assistant now being used at the bedside. The short version of what I hope people take away: technology shouldn't be designed without clinical teams at the table. If we are going to solve for the issues at the bedside - those voices have to be included in the conversation. If you're a nurse leader thinking through AI adoption on your own units, I'd love to have you in the room! July 28, 12pm ET — link in comments. https://lnkd.in/dMu7nkmV
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A week from today, our Chief Nursing Officer, Amy McCarthy, is joining Becker's Healthcare alongside nursing leaders from Cincinnati Children's, Memorial Hermann Health System, and OhioHealth for a candid conversation on what it actually took to build an autonomous, patient-facing voice assistant — co-designed with nurses from the ground up. Most AI product launches lead with the tech. This session leads with the people who had to trust it enough to use it — and what it took to earn that trust. Panelists will get into: ➡ Why nurse involvement in AI design separates adoption from abandonment ➡ How early front-line skepticism turned into advocacy ➡ The real change-management work behind sustainable adoption ➡ How to bring AI to the bedside without losing the human connection at the center of care Proud to see this work represented at Becker's Healthcare — nursing leaders building this alongside the team at Hippocratic AI has been a case study in what nurse-led AI actually looks like in practice. July 28, 12pm ET. Link in comments. #NurseLedAI #DigitalHealth #ClinicalAI #BeckersHealthcare
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Shawna Jones, BSN, RN, CMSRN, developed a device to better meet the toileting needs of male patients. With the support of the Office of Research and Innovation, she was able to conduct research and gather data to show how this invention brings real value to patients. In her interview, she shares how she came up with the idea and found the support from Cleveland Clinic teams to make her invention a reality. Read Shawna's interview: https://ow.ly/8vbO50ZmYjn #CleClinicNurses Meredith Foxx
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AI is scoring nurses' empathy. And the consequences are measured in human suffering. Nurses at Kaiser Permanente say they cut calls with suicidal and terminally ill patients short because exceeding 15 minutes triggers automated performance reviews. One nurse described stopping mid-comfort with a newly diagnosed cancer patient, afraid her AI-generated score would drop. California's largest private employer is about to renegotiate with 25,000 union nurses who want algorithmic management on the table. The outcome could set the national template for how AI supervises healthcare workers. We verified every claim against primary sources. Full breakdown in the first comment.
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Happening tomorrow at 12pm ET. Our CNO, Amy McCarthy, joins Allison Schlinkert, MSN, RN, NPD-BC from Cincinnati Children's, Scott Estep, MBOE, RN, CSSBB from OhioHealth, and Beth Reimschissel PhD, RN, CNL from Memorial Hermann Health System for a Becker's Healthcare session on nurse-led AI adoption. One thing you'll hear: how one nursing team cut admission call time nearly in half — giving nurses back close to an hour per shift. Not a projection. Not a pilot. What's actually happening right now. Proud of the work our team at Hippocratic AI has done alongside these health systems to make that possible. If you're a nurse leader thinking about AI adoption on your own units, this is worth an hour of your time tomorrow. Register — link in comments. #NurseLedAI #DigitalHealth #ClinicalAI #BeckersHealthcare #Webinar
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While HHS is funding AI that might diagnose your heart condition someday, One Brooklyn Health just did something a lot less flashy and a lot more useful right now: they deployed https://zurl.co/oi7fo for virtual nursing and AI-assisted virtual sitting across three of their hospitals, with models built specifically for fall prevention and pressure injury detection. This is the AI story that doesn't make headlines but actually moves the staffing math. Virtual sitting and fall-prevention monitoring are exactly the tasks that eat nursing hours without needing a nursing license to do them well. If it works as described, that's real capacity freed up for a system that, like most safety-net hospitals in Brooklyn, isn't exactly swimming in headcount to spare. Details on the deployment: https://zurl.co/fHuB6 If you've deployed something similar, what actually happened to your nursing hours six months in?
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Excited to see the nurses at Advocate Health leading the way as Microsoft Dragon Copilot for nurses scales across the organization. Thank you for your partnership, feedback, and commitment to ensuring AI supports what matters most, caring for patients 🩺 The future of nursing innovation is being built with nurses, not for nurses. #MicrosoftDragonCopilot #NursingInnovation #AdvocateHealth #AmbientDocumentation #HealthcareAI #NursingInformatics #ClinicalTransformation #FutureOfNursing #HumanCenteredDesign #NurseLeadership
Building the Teams Behind Healthcare’s Future | Nursing Innovation & Emerging Tech | Reality-Driven, People-First Leadership
What a privilege this week to be with our patients, our nurses and our techs while scaling ambient documentation at Advocate Health #WakeForestBaptistMedicalCenter Dr. Chantel Mayton DNP, RN, CNML 8N bulletin board says it all, shaping AI so it protects what's sacred about nursing; the heart of this work is a simple belief: AI, when created through Jean Watson's Theory of Human Caring becomes a a guardian of human to human connection. The most meaningful WOW in our work is the engagement of our teams. Nurses and techs are leaning in, sharing candid feedback, and using ambient on their terms when and how it works for them. Leading with excellence in practice we are creating the space to liberate ourselves from the constraints of documenting giving back to our well-being #BestPlacetoCare focusing on our desire to care for our patients. Sustainable change doesn't happen *to* people. It happens *with* them. Grateful for the many Advocate teammates making this happen our industry partners, and for the nurses continual feedback! All of us are focused on our shared commitments #LeadtheWay #EmbracetheUnknown #NursingInnnovation #AdaptiveLeadership #CLARITY© #MicrosoftDragonCopilot #HumanCenteredDesign #AdvocateHealth
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What a privilege this week to be with our patients, our nurses and our techs while scaling ambient documentation at Advocate Health #WakeForestBaptistMedicalCenter Dr. Chantel Mayton DNP, RN, CNML 8N bulletin board says it all, shaping AI so it protects what's sacred about nursing; the heart of this work is a simple belief: AI, when created through Jean Watson's Theory of Human Caring becomes a a guardian of human to human connection. The most meaningful WOW in our work is the engagement of our teams. Nurses and techs are leaning in, sharing candid feedback, and using ambient on their terms when and how it works for them. Leading with excellence in practice we are creating the space to liberate ourselves from the constraints of documenting giving back to our well-being #BestPlacetoCare focusing on our desire to care for our patients. Sustainable change doesn't happen *to* people. It happens *with* them. Grateful for the many Advocate teammates making this happen our industry partners, and for the nurses continual feedback! All of us are focused on our shared commitments #LeadtheWay #EmbracetheUnknown #NursingInnnovation #AdaptiveLeadership #CLARITY© #MicrosoftDragonCopilot #HumanCenteredDesign #AdvocateHealth
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𝐈𝐧𝐝𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐞, 𝐑𝐞𝐝𝐞𝐟𝐢𝐧𝐞𝐝 This week, we celebrate independence. It's worth asking what that word actually means in nursing right now. Independence isn't refusing to use AI at the bedside. It's not nostalgia for a pre-algorithm version of practice that's already gone. Real independence is retaining the authority to override the machine when your clinical judgment says something it doesn't. That's the whole premise behind the AI Safety Pause™: three questions, asked before you act on an AI-generated recommendation: 𝘋𝘰𝘦𝘴 𝘵𝘩𝘪𝘴 𝘮𝘢𝘬𝘦 𝘤𝘭𝘪𝘯𝘪𝘤𝘢𝘭 𝘴𝘦𝘯𝘴𝘦? 𝘞𝘩𝘢𝘵 𝘮𝘪𝘨𝘩𝘵 𝘵𝘩𝘦 𝘈𝘐 𝘣𝘦 𝘮𝘪𝘴𝘴𝘪𝘯𝘨? 𝘞𝘩𝘰 𝘪𝘴 𝘢𝘤𝘤𝘰𝘶𝘯𝘵𝘢𝘣𝘭𝘦 𝘪𝘧 𝘪𝘵'𝘴 𝘸𝘳𝘰𝘯𝘨? 𝐀𝐈 𝐢𝐧𝐟𝐨𝐫𝐦𝐬. 𝐓𝐡𝐞 𝐧𝐮𝐫𝐬𝐞 𝐝𝐞𝐜𝐢𝐝𝐞𝐬. 𝐂𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐣𝐮𝐝𝐠𝐦𝐞𝐧𝐭 𝐰𝐚𝐬 𝐧𝐞𝐯𝐞𝐫 𝐦𝐞𝐚𝐧𝐭 𝐭𝐨 𝐛𝐞 𝐨𝐮𝐭𝐬𝐨𝐮𝐫𝐜𝐞𝐝. This July 4th, the independence worth defending in nursing isn't independence from technology. It's independence within it, the standing to say "no" when "no" is the right call. #NursingAI #ClinicalJudgment #AIinHealthcare #NursingLeadership #July4th #NursesforAI
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Artificial intelligence is transforming critical care nursing, but its use must be transparent, explainable, and clinically meaningful to support safe and accountable bedside decision-making. This discussion paper highlights Explainable AI as both a professional and ethical requirement to strengthen nurses’ clinical reasoning, autonomy, patient safety, and patient-centred care in high-acuity environments. Nursing in Critical Care Journal https://lnkd.in/gQZBVUKd
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Bottom up design coalitions - love to see it!