惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

量子位
雷峰网
雷峰网
博客园 - 三生石上(FineUI控件)
月光博客
月光博客
有赞技术团队
有赞技术团队
阮一峰的网络日志
阮一峰的网络日志
Last Week in AI
Last Week in AI
G
Google Developers Blog
腾讯CDC
B
Blog
Microsoft Azure Blog
Microsoft Azure Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
Microsoft Security Blog
Microsoft Security Blog
人人都是产品经理
人人都是产品经理
博客园_首页
T
Tailwind CSS Blog
C
Check Point Blog
博客园 - 【当耐特】
MongoDB | Blog
MongoDB | Blog
A
About on SuperTechFans
Y
Y Combinator Blog
L
LangChain Blog
Engineering at Meta
Engineering at Meta
GbyAI
GbyAI

WhatIs

Hims & Hers launches AI agent for lab results Twilio revamps, updates customer engagement platform CISA launches critical infrastructure cyber resilience initiative Most patients find appointment scheduling, billing overly complex Teradata's latest targets putting agentic AI into production AHA, Joint Commission launch cyber resilience program Tableau in transition as AI forces BI vendors to evolve California hospitals sue Elevance over out-of-network penalty CMS Health Tech Ecosystem adds electronic prior auth pledge Atlassian MCP updates take aim at AI token usage Leapfrog: Hospitals improved in 17 patient safety measures United promises another 30% cut to prior auths in 2026 AI outperforms docs on clinical reasoning, but not ready for solo work ServiceNow's Autonomous CRM takes aim at Salesforce ServiceNow reintroduces itself as an AI 'security company' New Tableau leader talks vendor's evolution in era of AI Deloitte warns of a "bubble effect" caused by the GLP-1 boom Tableau repositions for AI, unveils new knowledge layer IBM Bob AI coding agent ships, HashiCorp AIOps previewed DOJ forms West Coast Strike Force to stop healthcare fraud Most people benefit from the ACA's free preventive services SAP acquisitions of Dremio, Prior Labs target AI development Bridging the gap: Legacy tools gain enterprise AI support Amazon Connect Talent: AWS enters AI interviewing market AHA, West Health launch health tech adoption initiative How are states preparing for Medicaid work requirements? Medical device security improves, but cyberattacks remain pervasive Weekly news roundup: Musk vs. Altman, Google’s Pentagon AI deal, China and EU hit Meta Skin substitute spending driven by patients, products, prices Clinical AI company Aidoc snags $150M in new funding
90% of patients re-check AI chatbot health info with othe...
2026-04-23 · via WhatIs

Sara Heath

By

Published: 23 Apr 2026

New data from Merck Manuals is giving some hope in the discourse around patients' use of AI chatbots for healthcare. According to a survey of more than 2,000 patients, 9 in 10 who use AI take steps to verify the information chatbots provide.

This is good news, as healthcare experts worry about the impact patient-facing AI chatbots can have, particularly in terms of peddling medical misinformation or otherwise giving poor advice to users.

According to Sandy Falk, M.D., editor-in-chief of Merck Manuals, AI holds a lot of promise for improving patient access to care and health information, helping fill in patient engagement holes the industry has long left open.

"Artificial intelligence is a powerful tool for accessing and organizing information across all sorts of tasks, and finding health information is no exception," Falk said in a press release about the survey. "The challenge is making sure the information is accurate and reliable and provided in the right context."

Overall, 62% of Americans have used AI tools to access medical information, the survey found.

A third of individuals use tools such as ChatGPT, Gemini or Siri to get information about a specific condition or disease. Another 29% use the tools to get information about symptoms they're experiencing, while 26% use AI chatbots for nutrition and lifestyle advice or to ask about medication side effects or dosage.

Patients are also sharing a lot about themselves with AI chatbots, the survey noted. For example, 54% of respondents have entered a list of symptoms to get a diagnosis from AI. Another 44% have entered health information, such as vital signs or medical history.

But although patients are engaging with these technologies, many view AI chatbots skeptically, the survey showed.

Patient trust in AI chatbots is not a given

According to the survey, 88% of users trust the information AI chatbots provide, but not completely.

Importantly, 90% of those using AI chatbots take measures to check the legitimacy of the information the tools provide. For example, 41% will talk with a healthcare professional to clarify and vet the information AI provided, while others will cross-reference it with other online platforms, such as Google (39%).

Meanwhile, 37% will check the sources the AI cited in its response, mostly verifying source authority and accuracy. Finally, 32% said they check academic or medical databases for further research.

This trend is promising, as it signals to healthcare providers that patients are open to discussing best practices for using AI chatbots in medical care. While the technology can help connect the dots for patients experiencing care access barriers, they should do so with caution, and it's up to providers to outline that for them.

For example, healthcare providers can ask their patients if they use AI chatbots for their health and how they do so. That can open a discussion about checking the validity of AI-generated information and determining when a patient should foremost consult a healthcare provider.

Sara Heath has reported news related to patient engagement and health equity since 2015.

Dig Deeper on Patient engagement technology