Latest news with #HippocraticAI
Medscape
14-05-2025
- Health
- Medscape
AI Just Took Your Nurse's Job — Kinda
This transcript has been edited for clarity. Are you ready to get your medical advice from a nurse powered by artificial intelligence (AI)? This is already reality in some healthcare systems. I know what you might be thinking: Could AI eventually replace actual nurses and healthcare professionals on advice lines? What about all the potential bad advice and mistakes? I have the same thoughts. Let's discuss. From Help Lines to Holograms: AI Nurses Are Already Here There are some AI tools out there that have nursing unions concerned. I read about one company, Hippocratic AI, which uses clinician-vetted AI chatbots to talk to people about preoperative care, discharge instructions, chronic illness management, and more. Now, we already have automated patient messaging, sending people information about procedures, discharge instructions with necessary links, and all that. Imagine if you had these tools and you combine it with language learning models such as ChatGPT and a visual, lifelike AI character. This is the case with the company Xoltar, which has AI characters that can speak in different languages and, dare I say, can develop a personalized AI-patient relationship. These chatbots on Xoltar are fully customizable and, according to the company, can offer an engaging, hand-holding experience that can help patients with accountability and influence behavior. I even did a demo and I talked to Carlos, the AI chatbot, all in Spanish, and it was engaging. The RFK Jr Claim: Can AI Diagnose Like a Doctor? These companies have received millions of dollars in venture capital funding and have high-powered partnerships with companies such as Nvidia. And it seems that progress is only growing. Even politicians have gotten involved. Robert F. Kennedy, Jr, head of the US Department of Health and Human Services, recently said, 'Cincinnati has developed an AI nurse that you cannot distinguish from a human being that has diagnosed as good as any doctor.' Okay, hold on. Getting a proper diagnosis requires building trust, empathy, and complex thought, and machines are only as good as the information that they're given. I'm not really sure I agree with RFK Jr on this. Also, I don't know what AI nurse he's speaking of. Mercy Health in Cincinnati does have an AI assistant named Catherine who helps patients navigate knee, shoulder, and hip pain. Perhaps Catherine could free up nurses and medical assistants from all those phone calls so they could then focus on patient care. The Cost Equation: $9 AI vs $40 Human Nurse Hippocratic AI, in partnership with Nvidia, recently released company data showing that its chatbot AI outperformed nurses in identifying toxic dosages of medications, how medications impact lab values, and other tasks. It also highlighted that its chatbot costs $9 an hour compared with the average nursing salary of around $35-$40 an hour. Now, the reality is that somewhere some struggling healthcare system may be tempted to pay a lower cost, streamline, and hire fewer actual nurses. Red Flags From the Frontlines: What Nurses Are Saying This is just one of the reasons of why nursing unions have organized and spoke out against the rapid expansion of generative AI without thoughtful input from patients and healthcare professionals, and without regulations. Some nurses have raised the valid criticism about false positives or alarms raised by AI tools that don't understand clinical context. We already see this. For example, we see this with sepsis prediction tools. They may flag a patient who has a fever that we already know about and we're already treating, or another patient with tachycardia that's related to a medication side effect or pain. Mistakes and a lack of liability are valid concerns when it comes to AI tools. AI as Scribe, Scheduler, and Burnout Buster — Maybe AI tools could do incredible things for our workflow if it helped us with tasks such as paperwork, inputting data into emergency medical record, dictating patient notes, and so much more. Doing things that we don't really want to do. For example, one company, QVentus, uses AI to hyperanalyze hospital operations and assist in areas such as scheduling. There are at least 60 companies using AI to essentially be scribes and help transcribe patient information. One study from Mass General found a 40% reduction in physician burnout during a 6-week pilot of one of these tools, but there was no financial benefit. I guess if we become more efficient at seeing patients thanks to AI tools, shareholders are going to be like, Why don't you see more patients? That means we're going to have to address time-based coding to make all these tools actually make sense and be profitable. A Healthcare Shortcut or a Sci-Fi Gamble? I digress. The growing question is whether generative AI can eventually fill in for nurses and other healthcare professionals. I mean, no one is denying that we have a healthcare professional shortage, especially in rural areas, but are chatbots and AI nurses really the solution? I feel like we're setting patients up for a science fiction experiment that is evolving faster than any of us can imagine. What are your thoughts? I want to hear from you. I know you've got something to say, so comment below.
Business Wire
07-05-2025
- Business
- Business Wire
EUCALIA Inc. and Hippocratic AI Partner to Bring World's First Non-Diagnostic, Patient-Facing Japanese Generative AI Healthcare Agent to Market
PALO ALTO, Calif. & TOKYO--(BUSINESS WIRE)--Hippocratic AI, the global leader in safety-focused generative AI agents for healthcare, today announced a partnership with EUCALIA Inc., a Tokyo-based healthcare transformation company focused on optimizing clinical operations and advancing care delivery, to launch the first Japanese-language generative AI healthcare agent for non-diagnostic, patient-facing clinical tasks. This marks Hippocratic AI's entry into the Japanese market, further advancing its global mission to deliver healthcare abundance through technology. The Japanese generative AI healthcare agent, to be introduced this year, is designed to support clinicians by taking on time-consuming, but critical, non-diagnostic patient-facing tasks, such as appointment scheduling, follow-up outreach, chronic care check-ins, and medication adherence support. In a country facing growing healthcare demand, an aging population and a constrained clinical workforce, Hippocratic AI aims to increase clinician workflow efficiency and expand high-quality patient engagement with the goal of improving patient outcomes. 'This partnership with EUCALIA reflects our commitment to building generative AI agents that are not just multilingual but locally fluent, clinically safe, and culturally aligned. Japan's healthcare system is world-class but under strain, and we believe our technology can meaningfully extend its capacity without compromising quality or trust,' said Munjal Shah, CEO and Co-founder of Hippocratic AI. 'Together with EUCALIA, we're setting a new global benchmark for how generative AI can responsibly improve patient outcomes, enhance clinical operations at scale, and support a more resilient healthcare system for the people of Japan.' 'In Japan, a super-aging society, the shortage of clinicians and excessive workload are social issues that must be resolved urgently. EUCALIA's mission is to 'realize the ideal levels of care through transformation,' and we believe that if generative AI agents are introduced into the healthcare field, clinicians will be able to become more specialized and focus more on tasks that are unique to humans,' said Hideo Misawa, President and Representative Director of EUCALIA. 'We will initially introduce the system to medical institutions in Japan but will also explore a broader range of uses to contribute to building a society in which more people can live healthier lives.' The foundation for this generative AI healthcare agent is Hippocratic AI's Polaris Constellation System, a patented safety architecture purpose-built for safe, high-empathy healthcare conversations. The system has already powered more than 1.85 million patient calls in the U.S. and is deployed in over 25 enterprise healthcare partners. It has set a new benchmark in patient safety and satisfaction, achieving a clinical accuracy rate of 99.38% and a record-high patient experience rating of 8.95 out of 10. At the core of the Polaris constellation system are specialized supervisor models that oversee critical areas such as medications, labs and vitals, nutrition, escalation protocols, and hospital-specific policies. This collaboration reflects a shared commitment to support patients, reduce operational strain, and expand access to healthcare. By combining Hippocratic AI's proven technology and safety architecture with EUCALIA's deep understanding of Japan's healthcare landscape, the partnership will deliver a highly personalized, culturally aligned solution tailored to the needs of patients and providers in Japan. Together, the two organizations aim to create greater efficiency, empathy, and resilience in a system under pressure and advance the global vision of healthcare abundance. About EUCALIA EUCALIA is committed to transforming healthcare with its vision of the 'industrialization of healthcare.' By focusing on five core transformation themes, EUCALIA supports healthcare professionals in delivering more efficient and patient-centered care thorough: separation of medical care and management, optimization of hospital operations, pursuit of patient-driven value-based healthcare, comprehensive community model, and digital transformation in healthcare. To drive these transformations, EUCALIA provides comprehensive management and operational support, delivering solutions that are rooted in advanced digital technology. For more information on EUCALIA, About Hippocratic AI Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. The company was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Hippocratic AI has received a total of $278 million in funding and is backed by leading investors, including Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA's NVentures, Premji Invest, SV Angel, and six health systems. For more information on Hippocratic AI, visit
Al Etihad
06-05-2025
- Business
- Al Etihad
AI will not replace healthcare professionals, it will ‘amplify their impact'
7 May 2025 00:59 TAARIQ HALIM (ABU DHABI)Burjeel Holdings has emphasised that artificial intelligence (AI) is there to 'amplify the impact of healthcare professionals, not replace them,' with the goal of streamlining operations and enhancing the patient proliferation of AI has seen the transformation of industries and economies — with the automation of tasks, functions and jobs previously performed manually by healthcare sector is no exception. At the recent Abu Dhabi Global Health Week, leading UAE healthcare group Burjeel announced an innovative partnership with pioneering US-based firm Hippocratic AI, aimed at revolutionising healthcare by employing generative AI 'agents'.Generative AI is a category of AI techniques in which algorithms are trained on data sets that can be used to generate new content, such as text, audio or 'agents' will be able to engage in 'natural, safety-focused, human-like conversations' through the integration of 'multilingual, empathy-driven' AI, Burjeel said. Functions of AI AgentsThe AI would perform clinical and administrative functions, delivering 'real-time, culturally aware support across a wide range of patient touchpoints, including appointment scheduling, patient education, health risk assessments, and follow-up check-ins.' Hippocratic AI's agents are versed in over 15 languages, including Spanish, Mandarin, and Vietnamese, as well as localised dialects like Emirati AI will be deployed across key specialities, such as oncology, cardiology, neurology, and said the capabilities of the agents extended beyond mere chatbot conversations.'The technology goes far beyond basic chatbot interactions, supporting a wide range of functions. Examples include conversational outreach on care gap closure for underserved communities, ongoing check-ins and patient education for chronic conditions, medication adherence support, including refill reminders and education. 'In many cases, this outreach would not have been possible before due to clinician shortages. Hippocratic AI helps augment clinicians where and when it's needed most,' said Michelle Machon, Chief Nursing Officer, Nursing Professional Development at Burjeel. Empathetic AI Agents The vision for the collaboration is to harness cutting-edge technology to deliver 'hyper-personalised, compassionate' care, according to John Sunil, Group CEO of Burjeel Holdings. But is it possible for tech to be empathetic? Munjal Shah, Co-Founder and CEO of Hippocratic AI, added: 'Our empathic genAI agents are designed to create a more compassionate and effective patient experience.'But how do you train AI to be 'sensitive' when interacting with human clients? 'Hippocratic AI's generative AI agents have unlimited patience,' explained Machon. 'They never rush a conversation no matter how many questions are asked or how long a response takes. They are non-judgmental. These agents strive to understand the individual, not just the condition. Their empathy shines in sensitive, high-impact moments — whether it's checking in during recovery or offering support during a heat wave or cold snap.' Ethics and Limitations of AI AgentsA report published by the World Health Organisation, titled 'Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models', outlined the consensus on ethical principles for the use of AI in health. These included: • Protecting autonomy: Humans should remain in control of healthcare systems and medical decisions. Data privacy and confidentiality to be protected by valid, informed consent through appropriate legal frameworks for data protection. • Promoting human wellbeing, human safety and the public interest: Designers of AI to satisfy regulatory requirements for safety, accuracy and efficacy for well-defined uses or indications. Measures of quality control in the use of AI over time should be available.• Ensuring transparency, 'explainability' and intelligibility: AI technologies should be intelligible or understandable to developers, medical professionals, patients, users, and regulators. • Fostering responsibility and accountability to ensure that AI is used under appropriate conditions and by appropriately trained people. • Ensuring inclusiveness and equity: AI is designed and shared to encourage the widest possible, appropriate, equitable use and access, irrespective of age, sex, income, race, ethnicity, ability or other characteristics. AI to be available for use not only in high-income settings but also in low- and middle-income countries. • Promote AI that is responsive and sustainable: AI technologies to be consistent with the wider promotion of the sustainability of health systems, the environment and said Burjeel adopted a safety-first approach in the design of their AI system. And while their health services have seen a marked increase in AI integration, the expertise and accountability of their qualified healthcare professionals remained indispensable and of paramount importance.'Hippocratic AI is deeply committed to safety and clinical appropriateness, in line with the 'Do no harm' value. They do not diagnose, treat, or prescribe. These are complex, high-stakes decisions that require the expertise and accountability of licensed clinicians. 'Generative AI is a force multiplier, augmenting workflows, improving patient adherence, and providing outreach, while respecting the irreplaceable judgment of human caregivers. Hippocratic AI generative AI agents cover patient-facing, non-diagnostic tasks,' she added.
Associated Press
02-05-2025
- Business
- Associated Press
Pathway Sets a New Benchmark for Specialty Medical AI with Transparent Just-in-Time Reasoning
MONTREAL--(BUSINESS WIRE)--May 2, 2025-- Pathway today announced that its proprietary large-language model (LLM) scored 96% on a validated set of United States Medical Licensing Examination (USMLE) questions, the highest accuracy yet reported for a specialized medical AI. The result strengthens Pathway's position as a leading evidence-based decision-support tool for frontline clinicians. This press release features multimedia. View the full release here: Pathway's AI models top the publicly reported leaderboard on the U.S. Medical Licensing Examination (USMLE). Pathway Deep achieved a 96 % accuracy rate and Pathway Think reached 94 %, outperforming other medical‑AI systems such as GPT‑4, Med‑Gemini, OpenEvidence, and Hippocratic AI. These results underscore Pathway's commitment to delivering safe, high‑precision clinical reasoning tools for clinicians and medical learners worldwide. In head-to-head testing, Pathway's 'Deep' AI model surpassed domain-specific peers MediSearch Pro, OpenEvidence and Hippocratic AI, and outperformed generalist systems such as ChatGPT 4o, o1, and GPT-4.5 on complex diagnostic scenarios. Independent academic validation studies are currently underway to further corroborate these groundbreaking results. Pathway attributes the performance to its transparent just-in-time reasoning pipeline, which combines retrieval-augmented generation (RAG) with chain-of-thought (CoT) analysis and agentic tool calling. The architecture allows the model to evaluate multiple information sources simultaneously, surface potential knowledge gaps, generate follow-up questions, and apply clinical scoring and prediction rules—all without adding latency for the user. 'Trust and transparency are foundational for bringing AI into clinical workflows,' said Dr. Louis Mullie, Chief Medical Officer at Pathway. 'Clinicians need speed and accuracy, but they also need verifiable evidence. Pathway's assistant reveals its reasoning step-by-step and links every recommendation to expert-vetted guidelines and a comprehensive drug reference. By giving users the context to double-check dosages and key guidance, Pathway helps them leverage AI efficiently while maintaining full control over patient-safety decisions.' This milestone builds on Pathway's rapid growth and industry recognition. In 2024 Pathway became the first generative-AI medical tool to receive continuing-medical-education (CME) co-accreditation, making every clinical question asked through the platform eligible for CME credit. Earlier this year the company added HIPAA support for Pathway Plus subscribers, enabling secure, compliant integration of patient-specific data into AI queries. Pathway also recently surpassed one million registered users across more than 10,000 healthcare institutions, underscoring its widespread adoption and trust within the medical community. About Pathway Pathway helps clinicians deliver better, faster, safer care by providing instant, evidence-based answers to medical questions. With 1 million+ registered healthcare professionals spanning 10,000 care centers, the AI-powered platform has established a strong presence across the United States and internationally. To learn more or try Pathway, visit View source version on For media inquiries, [email protected] KEYWORD: NORTH AMERICA CANADA INDUSTRY KEYWORD: HEALTH TECHNOLOGY TELEMEDICINE/VIRTUAL MEDICINE DATA MANAGEMENT OTHER EDUCATION OTHER HEALTH TECHNOLOGY CONTINUING UNIVERSITY EDUCATION APPS/APPLICATIONS GENERAL HEALTH HOSPITALS ARTIFICIAL INTELLIGENCE SOFTWARE HEALTH SOURCE: Pathway Copyright Business Wire 2025. PUB: 05/02/2025 10:00 AM/DISC: 05/02/2025 09:59 AM
Yahoo
25-04-2025
- Business
- Yahoo
Hippocratic AI Named to Newsweek's America's Greatest Startup Workplaces 2025
This award recognizes Hippocratic AI's impact and commitment to healthcare abundance through their generative AI healthcare agents. PALO ALTO, Calif., April 25, 2025--(BUSINESS WIRE)--Hippocratic AI, the company that pioneered the first safety-focused generative AI healthcare agents, announced today that it is recognized as one of America's Greatest Startup Workplaces 2025 by Newsweek and Plant-A Insights Group. Newsweek and Plant-A Insights Group recognized startups for their excellence in workplace culture and sustainable growth through a rigorous evaluation that analyzed publicly available data and utilized multiple third-party data platforms to gather performance indicators that provide insights into employee experience and the company's sustainability and growth since its inception. "At Hippocratic AI, we've always believed that building a transformative company starts with building a great team. This recognition by Newsweek is a reflection of our commitment to a culture where mission-driven innovation, patient safety, and care for one another go hand in hand. I'm incredibly proud of the team we've assembled and the environment we've created to pursue healthcare abundance together." – Munjal Shah, Co-Founder & CEO, Hippocratic AI. "Innovation and ambition drive the startup world, where companies are built on bold ideas, agile thinking, and close-knit teams. Yet, growing a successful business from the ground up comes with unique challenges. Fortunately, many startups are proving that success and employee well-being go hand in hand. Newsweek and market-data research firm Plant-A Insights are proud to introduce America's Greatest Startup Workplaces 2025, recognizing companies that have created dynamic, supportive, and rewarding environments for their employees." – Jennifer H. Cunningham – Editor-in-Chief – Newsweek. About Hippocratic AI Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. The company was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Hippocratic AI has received a total of $278 million in funding and is backed by leading investors, including Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA's NVentures, Premji Invest, SV Angel, and six health systems. For more information on Hippocratic AI, visit View source version on Contacts Media:Rick Keating+1.917.767.2400Press@ Sign in to access your portfolio
