Emergency departments are under more pressure than ever, and the conversation around AI has shifted from if it belongs in emergency care to how it can be implemented responsibly. We’re grateful to the Emergency Nurses Association for highlighting the experiences of healthcare leaders using KATE AI to support emergency nurses and improve triage. One quote that stood out: “I do really think AI is putting us on the right path because the best way to decrease your biases is to know about your biases.” — Sheri Dungan MSN, RN, MICN, SANE-A, SANE-P, CEN The article shares how health systems like UMass Memorial Health and Adventist Health are using KATE AI to improve triage consistency, uncover patterns of undertriage, and support better clinical decision-making—while keeping nurses at the center of care. Responsible AI doesn’t replace clinical judgment. It strengthens it. Thank you to the Emergency Nurses Association for spotlighting the clinicians and health systems advancing emergency care every day. Read the article: https://lnkd.in/g3iuKtDj Laurie Saloman #Healthcareinnovation #Emergencynursing #HealthcareAI #KATEAI #HealthcareTechnology #Triage
Mednition
Hospitals and Health Care
Burlingame, California 3,375 followers
Empower emergency nurses to save lives.
About us
KATE empowers nurses to spot high-risk patients faster and far more accurately with zero workflow changes. Keep your sickest patients from slipping through the cracks.
- Website
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https://www.mednition.com
External link for Mednition
- Industry
- Hospitals and Health Care
- Company size
- 11-50 employees
- Headquarters
- Burlingame, California
- Type
- Privately Held
- Specialties
- artificial intelligence, machine learning, emergency medicine, nursing, nurse AI, healthtech, and healthcare ai
Locations
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Primary
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Burlingame, California 94011, US
Employees at Mednition
Updates
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Partnerships like these are built on trust, and we're honored to continue earning it! We're excited to share that UMass Memorial Health has extended its partnership with KATE AI for another three years and expanded its deployment by adding two additional emergency departments. With this expansion, KATE will now support: - 9 emergency departments - 355,000+ annual ED patient encounters This continued investment reflects UMass Memorial Health's commitment to empowering emergency nurses with AI that supports more consistent, data-informed triage while strengthening patient care across the health system. To the incredible clinical, operational, and IT teams at UMass Memorial Health—thank you for your continued partnership and confidence in our team. We're proud to continue this journey together. #Healthcareinnovation #Emergencynursing #HealthcareAI #Triage #KATEAI #HealthcareTechnology
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What separates high-performing health systems from the rest? Join us for At the Front Door, a three-part executive webinar series featuring healthcare leaders from across the industry sharing the strategies they're using to, improve emergency department operations, making innovative technologies work in practice and drive meaningful clinical transformation. 🕛 All sessions: 9:00 AM - 10:00 AM PT | 10:00 AM - 11:00 AM MT | 11:00 - 12:00 PM CT | 12:00 AM - 1:00 PM ET Nick Patel M.D. Maureen Canellas, MD, MBA, FACEP Jay Hamm, MHA, RN, FACHE James Lakes 🎟️ Reserve your spot: Mednition events | Livestorm (https://bit.ly/4ffXNwe)
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How do you separate a promising pilot from a proven solution? At Mednition, we're proud that KATE has moved beyond pilots into everyday clinical practice. Today: ✅ 41 hospitals are live (+12 additional hospitals are preparing to go live) ✅ More than 5 million emergency department encounters have been supported ✅ Sites have been live for an average of 35 months ✅ 100% Pilot-to-Customer Conversion Rate The goal isn't to prove AI can work. The goal is to prove it can continue delivering value in real clinical environments, every shift, every day. #HealthcareAI #AIinHealthcare #EmergencyMedicine #HealthIT #ClinicalAI #DigitalHealth #NursingInnovation #Mednition #KATEAI
There's a question I think every hospital leader should ask any AI vendor before getting too deep into an evaluation: 𝗛𝗼𝘄 𝗺𝗮𝗻𝘆 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗽𝗶𝗹𝗼𝘁 𝘀𝗶𝘁𝗲𝘀 𝗰𝗼𝗻𝘃𝗲𝗿𝘁𝗲𝗱 𝘁𝗼 𝗽𝗮𝘆𝗶𝗻𝗴 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀? Not how many pilots you've run. How many converted. That single question tells you more about real-world viability than any demo, any ROI projection, or any reference call the vendor has pre-arranged for you. Level 4 on the Burden of Proof Ladder is: ”Battle-tested” and the criteria are deliberately blunt: → Live at peer hospitals (not sandbox environments) → Years in production, not months → Beyond pilots The distinction matters because healthcare AI has a well-documented pilot problem. As I’ve heard Dr. Dan Weberg, PhD, MHI, RN, FAAN say, “𝗽𝗶𝗹𝗼𝘁𝗶𝘁𝗶𝘀” 𝗽𝗹𝗮𝗴𝘂𝗲𝘀 𝗺𝗮𝗻𝘆 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. Technologies that work beautifully in controlled conditions frequently collapse when they hit real clinical workflows, real nurse-to-patient ratios, real EHR edge cases, and real institutional inertia. We've been live in emergency departments for years. Not in trials. Not in "limited release." In active use, every shift, across a growing network of hospitals. The conversion rate from pilot to production (and to system expansion) is something I'm genuinely proud of, and I'm happy to share specifics with anyone who wants to go deeper. The benchmark question isn't "Does it work in a demo?", it's "Is it still running two years later in a hospital that looks like mine?" What other questions are you asking vendors at this stage of evaluation? #HealthcareAI #EmergencyMedicine #ClinicalAI #HospitalLeadership #AIinHealthcare #Mednition #KATEAI
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The biggest AI mistake in healthcare? Buying technology before defining the problem. At Mednition, we've spent years working alongside emergency departments and health system leaders evaluating AI solutions. Most hospitals start their AI conversations at the wrong end of the ladder. Vendors want to talk about capabilities. Leaders need to talk about evidence. Hospitals that have clearly defined their pain points are then ready to evaluate AI solutions. Before deciding on an AI tool, ask vendors: ✔ Is it secure and compliant? ✔ Is there published evidence? ✔ Does it fit naturally into clinical workflows? ✔ Is it live in peer hospitals today? ✔ Are clinicians actually using it? ✔ How quickly does it create value? ✔ What outcomes has it measurably improved? That's the thinking behind the Healthcare AI Burden of Proof Ladder. The framework is about creating a higher standard for healthcare AI evaluation. Because in healthcare, impressive demos aren't enough. The burden of proof should increase with every claim. For those evaluating AI today: Which rung do you think healthcare organizations skip most often? 👇 Curious to hear perspectives from healthcare leaders and frontline clinicians. #HealthcareAI #HealthcareLeadership #ClinicalAI #DigitalHealth #EmergencyMedicine #AIinHealthcare #HealthIT #Mednition
We've been spending a lot of time thinking about how healthcare leaders should evaluate AI vendors and I wanted to share a framework we've been developing internally. We're calling it the 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗔𝗜 𝗕𝘂𝗿𝗱𝗲𝗻 𝗼𝗳 𝗣𝗿𝗼𝗼𝗳 𝗟𝗮𝗱𝗱𝗲𝗿. The premise is simple: 𝗻𝗼𝘁 𝗮𝗹𝗹 𝗔𝗜 𝗰𝗹𝗮𝗶𝗺𝘀 𝗮𝗿𝗲 𝗲𝗾𝘂𝗮𝗹, 𝗮𝗻𝗱 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝗱𝗲𝘀𝗲𝗿𝘃𝗲 𝗮 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝘄𝗮𝘆 𝘁𝗼 𝘀𝗲𝗽𝗮𝗿𝗮𝘁𝗲 𝘄𝗵𝗮𝘁'𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗯𝗲𝗲𝗻 𝗽𝗿𝗼𝘃𝗲𝗻 𝗳𝗿𝗼𝗺 𝘄𝗵𝗮𝘁'𝘀 𝗷𝘂𝘀𝘁 𝘄𝗲𝗹𝗹-𝗺𝗮𝗿𝗸𝗲𝘁𝗲𝗱. The ladder has seven levels. From the foundational table stakes (security, evidence base, workflow integration) up through real-world deployment, adoption, time to value, and ultimately: proven outcomes across patient, operational, and financial metrics. I'd love to know what the community thinks. What would you add? What's missing? Have you been burned by a vendor who looked great at level 2 but never made it past level 4? Or have you seen examples where a team skipped straight to outcomes data and it was exactly what they needed? Drop your thoughts below. The best frameworks get sharper through pushback. #HealthcareAI #HealthcareLeadership #EmergencyMedicine #ClinicalAI #AIinHealthcare #Mednition #KATEAI
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Mednition reposted this
80% is the target but let’s see if we can get to 90% because the smallest, youngest, and most vulnerable of us are counting on it.
Nearly 4,300 emergency departments have already taken the National Pediatric Readiness Project Assessment, but what about your ED? The deadline is Sunday at midnight Pacific time to visit pedsready.org to help push the response rate over 80 percent nationally - all with the goal of helping improve outcomes for all children in all communities.
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Pennsylvania, we’re headed your way! 🚑 The Mednition team is excited to attend the PA ENA Conference and connect with emergency nursing leaders from across the state. Stop by to learn how KATE AI is helping support nurses at triage, improving patient flow, and identifying high-risk patients earlier! We look forward to the conversations, learning opportunities, and chance to hear directly from the clinicians shaping the future of emergency care. See you at PA ENA!💙🧡 Emergency Nurses Association #PAENA #EmergencyNursing #ENA #EmergencyDepartment #NursingInnovation #HealthcareAI #Triage #Mednition #KATEAI
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Is your Emergency Department Peds Ready? High pediatric readiness is associated with as much as 76% reduced mortality risk in pediatric ill or injured patients. KATE for Kids is here and already making an impact 💙👶🏽🏥 Pediatric patients deserve precision, speed, and the highest level of care. Now, with KATE AI, nurses have real-time support to help identify risk earlier and make confident decisions at the front door ⚡👩⚕️📊 This is what the future of pediatric triage looks like and it’s happening now. Deena Brecher MSN, RN, ACNS-BC, CEN, CPEN, FAEN #Pediatrics #NursingInnovation #HealthcareAI #PatientSafety #KATEAI #FutureOfHealthcare
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5,000,000 ED patients. 🧡 It’s hard to put into words what this milestone means to our team. From our very first hospital partner to now supporting emergency departments across the country, every visit represents a real patient, a real nurse, and a real moment where clinical judgment matters. To our customers, thank you for trusting KATE and for allowing us to be part of your workflows, your teams, and your patient care journeys. Your feedback, partnership, and willingness to innovate alongside us have shaped KATE into what it is today. And to the nurses using KATE every day, thank you. KATE does not make decisions, nurses do. We are proud to support the people behind the care. 5 million visits is a milestone we are incredibly proud of, but we know the work continues. 💙
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🧡 Nurses Week Spotlight: Jeena Stanford, RN Before transitioning into healthcare technology, Jeena worked in the NICU, where she experienced firsthand the realities nurses face during high-pressure moments and the importance of technology that truly supports clinical care. Today, she continues to advocate for the nurse perspective in healthcare innovation, helping ensure frontline voices remain part of the conversation when new tools and systems are developed. Jeena shares: “Working in the NICU taught me that nurses are basically the ultimate stress-testers for healthcare technology. If a device, workflow, or software doesn’t make sense at 3 a.m. during a critical situation, nurses will find out immediately. My experience at the bedside showed me how much the end-user experience matters, and it inspired my transition into healthcare technology. I wanted to help ensure the nurse voice has a seat at the table when decisions are made about new products and systems — because the best technology should support clinicians, not require a 20-page manual and a prayer during a critical moment.” Thank you, Jeena, for amplifying the voice of frontline nurses in the future of healthcare technology and patient care. 🧡 #NursesWeek #NICUNurse #NursingLeadership #HealthcareInnovation #HealthcareAI #ForNursesByNurses
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