Chronic diseases like heart failure and kidney disease need regular checking and care. This helps keep patients from going back to the hospital and improves how they feel. After a patient leaves the hospital, follow-up care is also very important. Problems can happen if medicines are taken wrong, if communication is slow, or if care stops suddenly.<\/p>\n
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Hippocratic AI uses special AI agents that talk directly to patients by phone. These AI agents do jobs usually done by nurses or social workers. They remind patients to take medicines, watch for symptoms, remind them about their care plans, and answer questions about their condition. This helps keep communication open after a patient leaves the hospital or while managing long-term illnesses.<\/p>\n
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In just 18 months, Hippocratic AI made deals with 23 health systems in the U.S. They were working with 16 of them and made hundreds of thousands of patient calls. This shows that both clinics and patients are starting to trust these AI services.<\/p>\n
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A key thing for using AI agents with patients is whether patients feel comfortable with them. Patients need to trust that the AI will help them safely and well without lowering their care quality.<\/p>\n
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Hippocratic AI\u2019s phone agents have talked to more than 200,000 patients. On average, patients rated their satisfaction as 8.7 out of 10. They made over 260,000 patient calls. That many calls show the AI is used a lot and patients find it useful in real life, especially for managing long illnesses and follow-up visits after leaving the hospital.<\/p>\n
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Patients feel satisfied when the AI talks clearly and listens well. Hippocratic AI makes sure doctors keep watching the AI conversations to keep them safe and good. This helps patients enjoy their experience and follow their care better. That\u2019s very important when patients have complex illnesses.<\/p>\n
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People worry about AI making mistakes or giving wrong information. Hippocratic AI stops this with a strict three-step safety plan:<\/p>\n
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These safety steps are very important in healthcare, where AI must work well and be trusted. Having doctors involved from designing to using the AI reassures both clinic managers and patients that the AI is safe.<\/p>\n
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Hippocratic AI agents help in over 25 medical areas. They focus on nursing support, managing long illnesses, follow-up after hospital visits, teaching patients, and wellness coaching. For example, patients with heart failure get reminders to weigh themselves daily and warnings if extra care is needed. Similarly, patients who just had surgery get calls to check for problems and make sure they take medicines properly.<\/p>\n
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Medical office managers see these benefits:<\/p>\n
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These changes support health clinics in improving care for chronic diseases and in reducing avoidable hospital readmissions. These results also affect clinic payments and care quality scores.<\/p>\n
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Adding AI agents to office and care workflows changes how clinics work:<\/p>\n
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AI automation helps not only patient care but also office work and finances in U.S. clinics.<\/p>\n
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The U.S. faces a shortage of nurses and care coordinators, which are key for managing long illnesses and follow-up care. Hippocratic AI\u2019s agents help clinics reach more patients without needing many extra staff. Their AI agents can contact 10 to 100 times more patients, improving care and access especially where staff are limited.<\/p>\n
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This growing ability to reach patients is vital during emergencies like health crises or natural disasters when hospital resources are tight. Hippocratic AI\u2019s agents have helped keep in touch with patients during hurricanes and wildfires. They check on important needs like dialysis and medication availability.<\/p>\n
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The company also plans to offer their technology in Europe, the Middle East, Africa, Southeast Asia, and Latin America. This model can work outside the U.S., potentially helping patients with chronic diseases and follow-up care worldwide.<\/p>\n
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A unique part of Hippocratic AI\u2019s model is that doctors and nurses help create the AI agents and share in the earnings. The app store has over 300 AI agents made by more than 300 clinicians from many specialties. These agents help both patient care and office tasks without needing coding skills.<\/p>\n
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Clinicians who make AI agents get paid a share of the money\u20145% of base fees and 70% of premium fees tied to their agents. This payment encourages them to keep improving AI tools and gives clinic leaders confidence the AI stays relevant and practical.<\/p>\n
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For those running clinics or managing IT systems who want to use AI agents in chronic care and follow-up, important points from Hippocratic AI\u2019s experience are:<\/p>\n
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Using AI agents for managing chronic diseases and follow-up care is growing in the U.S. It helps fix gaps in patient communication and monitoring with real data showing patient approval and safety.<\/p>\n
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In short, AI-driven patient agents offer a useful and scalable way to handle today\u2019s healthcare challenges in the U.S. With good patient ratings, a strong focus on safety, and partnerships with clinicians, these tools give clinics a helpful option for better care management and patient results.<\/p>\n Hippocratic AI focuses on patient-facing activities rather than just ambient dictation or administrative tasks. Their generative AI agents perform low-risk, non-diagnostic, patient interaction tasks such as chronic care management and post-discharge follow-up, aiming to amplify care delivery safely and effectively despite the higher safety thresholds required.<\/p>\n<\/p><\/div>\n<\/details>\n They use a three-step safety approach including a unique ‘constellation’ LLM architecture with multiple models supervising a main model to reduce hallucinations, clinician-driven output-based safety testing, and extensive phased testing involving thousands of licensed nurses and physicians, totaling over 260,000 test calls before deployment.<\/p>\n<\/p><\/div>\n<\/details>\n The AI agents cover a wide range of roles including nursing, physician support, nutritionists, preoperative and post-discharge care, chronic disease management, pharmaceutical clinical trial coordination, assisted living, patient education, and wellness coaching across over 25 specialties.<\/p>\n<\/p><\/div>\n<\/details>\n The app store enables clinicians to design, build, and pitch AI agents tailored to patient care or operational challenges without requiring programming skills. Clinician creators share in revenue generated by their agents, promoting innovation, safety, and relevance while leveraging deep clinical expertise.<\/p>\n<\/p><\/div>\n<\/details>\n Hippocratic AI agents have interacted with over 200,000 patients, receiving an average patient satisfaction rating of 8.7. The agents have successfully conducted calls for healthcare organizations worldwide, demonstrating both functional utility and patient acceptance in real-world scenarios.<\/p>\n<\/p><\/div>\n<\/details>\n By deploying AI agents that reliably perform patient-facing, non-diagnostic tasks, Hippocratic AI amplifies care delivery significantly\u2014potentially increasing outreach by 10 to 100 times\u2014thus compensating for shortages in nurses, social workers, and other healthcare roles, making healthcare more accessible especially in overstretched systems.<\/p>\n<\/p><\/div>\n<\/details>\n Clinicians are integral from day one as co-founders, investors, and AI agent creators. Their involvement ensures that AI tools are designed with practical clinical insights, safety, and empathy, making agents more effective and aligned with real-world healthcare workflows and patient needs.<\/p>\n<\/p><\/div>\n<\/details>\n Their AI agents are used to contact patients during natural disasters such as hurricanes and wildfires to assess urgent care needs, ensure continuity (e.g., dialysis), and maintain longitudinal vigilance, demonstrating flexibility and utility beyond routine healthcare tasks.<\/p>\n<\/p><\/div>\n<\/details>\n Hippocratic AI employs a deep supervisory architecture where 19 auxiliary language models oversee a primary model to prevent hallucinations and maintain safety in nursing-related tasks, delivering a unique and robust system tailored to healthcare\u2019s high-risk requirements.<\/p>\n<\/p><\/div>\n<\/details>\n The company plans to broaden its verticals including pharma and payer markets and expand geographically into Europe, the Middle East, Africa, Southeast Asia, and Latin America, using fresh capital to accelerate development, deployment, and adoption of AI agents addressing global healthcare challenges.<\/p>\n<\/p><\/div>\n<\/details><\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":" Chronic diseases like heart failure and kidney disease need regular checking and care. This helps keep patients from going back to the hospital and improves how they feel. After a patient leaves the hospital, follow-up care is also very important. Problems can happen if medicines are taken wrong, if communication is slow, or if care […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-138558","post","type-post","status-publish","format-standard","hentry"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/138558","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/comments?post=138558"}],"version-history":[{"count":0,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/138558\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/media?parent=138558"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/categories?post=138558"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/tags?post=138558"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Frequently Asked Questions<\/h2>\n
What distinguishes Hippocratic AI’s approach to AI agents in healthcare from other generative AI applications?<\/summary>\n
How does Hippocratic AI ensure the safety of its AI agents in healthcare?<\/summary>\n
What roles and use cases do Hippocratic AI agents currently support?<\/summary>\n
How does the AI agent app store empower clinicians and impact AI development?<\/summary>\n
What evidence supports the usability and acceptance of Hippocratic AI agents by patients?<\/summary>\n
How does Hippocratic AI address global healthcare staffing shortages?<\/summary>\n
What role do clinicians play in Hippocratic AI’s product design and innovation?<\/summary>\n
How does Hippocratic AI’s technology perform during emergencies or natural disasters?<\/summary>\n
What is unique about Hippocratic AI\u2019s LLM architecture for healthcare?<\/summary>\n
How does Hippocratic AI plan to expand and scale its technology moving forward?<\/summary>\n