Multilingual AI-powered tools can talk to patients in the language they prefer. This can happen through phone calls, text messages, online scheduling, and patient portals. These AI programs can chat, answer questions, give information, and set up appointments. They support the cultural and language needs of patients. This helps reduce the need for bilingual staff or interpreters, which can be hard to find and slow down care, especially in busy clinics.<\/p>\n
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For example, WellSpan Health worked with Hippocratic AI to use AI agents that increased colorectal cancer screenings for Spanish-speaking patients. The AI helper, Ana, made caring bilingual phone calls to patients. She helped with language challenges and made it easier to use the MyWellSpan patient portal. In one month, Ana talked with more than 100 patients in English and Spanish. More Spanish-speaking patients chose to get screened compared to English speakers. This shows how AI that speaks the patient\u2019s language can help close gaps in preventive care.<\/p>\n
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Hospitals using similar approaches see more patients getting involved in their care. This makes it easier to reach groups that usually don\u2019t get preventive health services because of language and technology problems.<\/p>\n
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Good communication is very important for quality health care. When patients and healthcare workers do not speak the same language, patients can misunderstand medicine instructions, miss appointments, or not seek care at all. A study by Carenet Health and Momentive found that almost 35% of people said language problems caused bad experiences on the phone with healthcare support. Many immigrants, refugees, and people in hard-to-reach groups face not only language issues but also money and transportation problems that block their access to care.<\/p>\n
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Language differences between patients and providers can cause mistakes in diagnosis and treatment. This can make health worse and raise safety concerns. Hispanic and Latino people often say language greatly affects their health experiences. About 44% of Hispanics say language barriers lead to worse health results compared to other U.S. adults. This shows that healthcare should offer services and materials in many languages to improve care.<\/p>\n
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Healthcare groups that use multilingual tools see clear benefits. One surgical department that sent out discharge instructions in many languages saw an 82% drop in patients returning to the hospital within 90 days. Another group that reminded patients of appointments in different languages had 34% fewer missed visits. This also brought in $100,000 more in revenue. These examples show meeting language needs helps both patients and healthcare providers.<\/p>\n
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Healthcare IT managers and leaders can learn how AI and automation work with daily clinic tasks. These AI systems take over many routine jobs. This lets staff spend more time on caring for patients instead of on manual communication.<\/p>\n
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AI systems connect with electronic health records (EHRs), scheduling software, and call centers. They use language understanding and learning to answer patient questions correctly and send harder problems to human workers when needed. For example, AI helpers call patients to remind them about tests, explain how to get ready, and give instructions after leaving the hospital\u2014all in the patient’s language.<\/p>\n
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Some industry examples:<\/p>\n
These AI tools save staff time. One clinic said it saved over an hour each day by using AI to handle documents. In the U.S., these systems speed up patient contact, improve keeping up with preventive care, and cut down missed visits. They also reduce staff burnout caused by repeated tasks and help manage money by improving patient communication.<\/p>\n
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Some worry AI might make health gaps worse. Careful design of multilingual AI with cultural respect and human oversight can help many patients.<\/p>\n
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Studies with AI helpers speaking English and Spanish show more Spanish-speaking patients take part in care than English-speaking ones. For example, a study with 1,878 patients for colorectal cancer screening found Spanish speakers were more likely to answer AI calls and follow through with screening more than twice as often as English speakers. The AI had kind, culturally aware talks, helped schedule appointments, and gave follow-ups. Doctors checked AI transcripts to make sure of safety and quality.<\/p>\n
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This data shows AI does not have to harm minority groups in healthcare. AI with multilingual and cultural care, plus human clinician checks, can help reduce health gaps.<\/p>\n
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Even with many good points, healthcare leaders must plan carefully to make AI outreach work in the long run:<\/p>\n
By handling these steps, clinics can add AI smoothly. This will help reach more patients and keep care safe and legal.<\/p>\n
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Multilingual AI outreach makes healthcare easier for patients who had trouble because of language or technology. Tools like phone support, chatbots, and texting help patients understand care plans, follow instructions, and keep appointments. This lowers missed visits and emergency trips for avoidable problems.<\/p>\n
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This technology also builds trust. When patients get messages in their first language and feel understood, they are more likely to follow medical advice and get preventative care.<\/p>\n
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Healthcare call centers with multilingual AI report happier patients and fewer unnecessary emergency visits. Multilingual outreach also lets providers run campaigns that reach more people, such as cancer screenings or chronic disease checkups, in wider and more diverse groups.<\/p>\n
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Multilingual AI patient outreach is becoming more common, especially in places with many different populations. As technology gets better, real-time translation and workflow automation will improve care.<\/p>\n
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Telehealth services are adding multilingual features, helping doctors offer interpretation during online visits. This reduces problems caused by language differences. Healthcare groups and community organizations will probably work more together to better match AI outreach to local needs.<\/p>\n
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More research is needed to see how AI affects long-term patient health, cost, and fit in healthcare settings. Also, making sure AI is designed fairly and safely is very important to avoid bad effects.<\/p>\n
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Healthcare leaders wanting to use multilingual AI should try pilot programs with groups like Hippocratic AI or eClinicalWorks. Focusing on languages, workflow, staff learning, and patient safety can help reduce health gaps and improve care for all patients.<\/p>\n
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Simbo AI offers phone automation and answering services powered by artificial intelligence just for healthcare providers. Their tools help solve patient communication problems, including language barriers. They automate phone calls that speak many languages and respond kindly. By using AI outreach from Simbo AI, healthcare groups can improve patient contact, lower staff work, and support fair care across many communities in the United States.<\/p>\n Hippocratic AI’s Generative AI Healthcare Agent is a patient-facing, safety-driven large language model designed for healthcare. WellSpan Health uses it to engage patients via telephone, improving access to cancer screenings and follow-ups, especially for underserved, multi-lingual populations, by scaling resources and closing care gaps.<\/p>\n<\/p><\/div>\n<\/details>\n ‘Ana’ targets thousands of eligible patients who have not engaged in screenings by overcoming language and access barriers. It provides conversations in multiple languages, assists with scheduling, and follows up on colonoscopy preparation and aftercare, thereby increasing screening participation among underserved communities.<\/p>\n<\/p><\/div>\n<\/details>\n Patient safety is prioritized by integrating human clinician oversight during calls, monitoring AI interactions to ensure accuracy and empathy, providing complete conversation transcripts to clinicians, and enabling live transfers or follow-ups by clinicians when necessary, thus safeguarding high-quality care.<\/p>\n<\/p><\/div>\n<\/details>\n The agent communicates in multiple languages including Spanish, with plans for Haitian Creole and Nepali, addressing language barriers. It improves access for underserved populations by making healthcare services more reachable and personalized, reducing disparities in screening and follow-up care.<\/p>\n<\/p><\/div>\n<\/details>\n It helps mitigate severe workforce shortages by automating routine patient outreach, screenings, and follow-ups, supporting clinical teams with scalable AI-powered workflows that enhance operational efficiency and extend care access without additional staffing burdens.<\/p>\n<\/p><\/div>\n<\/details>\n Planned expansions include chronic care management, post-discharge follow-up for conditions like congestive heart failure and kidney disease, wellness and social determinants of health surveys, health risk assessments, and providing pre-operative patient instructions.<\/p>\n<\/p><\/div>\n<\/details>\n WellSpan clinicians review complete transcripts of all AI-patient conversations. Initial pilot calls are monitored by human clinicians to verify safety and effectiveness, ensuring the AI operates within quality assurance protocols before full deployment.<\/p>\n<\/p><\/div>\n<\/details>\n The agent uses advanced large language model technology enabling comprehensive, empathetic conversations. It can ask and answer patient queries about health conditions, provide personalized guidance, and transfer calls to human clinicians as needed, facilitating interaction tailored to individual patient needs.<\/p>\n<\/p><\/div>\n<\/details>\n The AI integration supports WellSpan\u2019s commitment to innovation, clinical support, and addressing health disparities. It enhances patient safety, improves healthcare accessibility, reduces workload on staff, and exemplifies their vision of using cutting-edge technology to improve community health outcomes.<\/p>\n<\/p><\/div>\n<\/details>\n In the first month, the AI agent engaged over 100 Spanish and English-speaking patients, enabling better access to life-saving cancer screenings. This suggests improved patient outreach, particularly among multi-lingual and underserved populations, helping to close existing care gaps effectively.<\/p>\n<\/p><\/div>\n<\/details><\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":" Multilingual AI-powered tools can talk to patients in the language they prefer. This can happen through phone calls, text messages, online scheduling, and patient portals. These AI programs can chat, answer questions, give information, and set up appointments. They support the cultural and language needs of patients. This helps reduce the need for bilingual staff […]<\/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-134374","post","type-post","status-publish","format-standard","hentry"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/134374","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=134374"}],"version-history":[{"count":0,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/134374\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/media?parent=134374"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/categories?post=134374"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/tags?post=134374"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Frequently Asked Questions<\/h2>\n
What is Hippocratic AI’s Generative AI Healthcare Agent, and how is it used by WellSpan Health?<\/summary>\n
How does WellSpan’s AI assistant ‘Ana’ help increase colorectal cancer screening rates?<\/summary>\n
What role does patient safety play in the deployment of Hippocratic AI’s agents at WellSpan?<\/summary>\n
How does the AI healthcare agent support health equity for diverse patient populations?<\/summary>\n
What challenges in healthcare workforce does the AI agent address?<\/summary>\n
In what clinical workflows is Hippocratic AI planning to expand its GenAI agent use?<\/summary>\n
How does WellSpan ensure the quality and reliability of conversations conducted by the AI agent?<\/summary>\n
What technological features allow Hippocratic AI\u2019s agent to engage patients effectively?<\/summary>\n
How does WellSpan’s use of AI agents align with their broader organizational goals?<\/summary>\n
What impact has WellSpan observed since the AI agent\u2019s initial deployment?<\/summary>\n