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

S
Secure Thoughts
Recent Commits to openclaw:main
Recent Commits to openclaw:main
H
Heimdal Security Blog
SecWiki News
SecWiki News
H
Hacker News: Front Page
N
News | PayPal Newsroom
L
LINUX DO - 最新话题
N
News and Events Feed by Topic
TaoSecurity Blog
TaoSecurity Blog
AI
AI
C
Cybersecurity and Infrastructure Security Agency CISA
Scott Helme
Scott Helme
PCI Perspectives
PCI Perspectives
S
Securelist
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
Cyberwarzone
Cyberwarzone
A
Arctic Wolf
Forbes - Security
Forbes - Security
T
Tor Project blog
Spread Privacy
Spread Privacy
WordPress大学
WordPress大学
I
Intezer
Martin Fowler
Martin Fowler
Help Net Security
Help Net Security
P
Proofpoint News Feed
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Cisco Talos Blog
Cisco Talos Blog
Latest news
Latest news
博客园 - 司徒正美
W
WeLiveSecurity
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
V
V2EX
P
Palo Alto Networks Blog
Google DeepMind News
Google DeepMind News
IT之家
IT之家
阮一峰的网络日志
阮一峰的网络日志
V
Vulnerabilities – Threatpost
Jina AI
Jina AI
S
Security Affairs
Hacker News - Newest:
Hacker News - Newest: "LLM"
Simon Willison's Weblog
Simon Willison's Weblog
Project Zero
Project Zero
T
Threatpost
P
Privacy International News Feed
人人都是产品经理
人人都是产品经理
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
Application and Cybersecurity Blog
Application and Cybersecurity Blog
博客园 - Franky
Hugging Face - Blog
Hugging Face - Blog
Apple Machine Learning Research
Apple Machine Learning Research

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 Qlik's Capone departs after eight years as CEO OIG: CMS paid millions in improper virtual care payments FDA moves toward real-time review of clinical trial data FQHCs in low-income neighborhoods have lower cancer screening rates Solving quantum computing's longstanding no-cloning problem Qdrant boosts performance, reliability to meet AI needs Racial health disparities still impact U.S. as policy changes loom Agentforce Operations tackles workflow orchestration Boehringer's dual agonist obesity drug spurs up to 16.6% weight loss Legacy architecture, awareness gaps stifle microsegmentation adoption in healthcare AMA alerts officials of health plans' No Surprises Act abuse Latest SAS capabilities focus on fostering reliable AI AHA calls for TEFCA individual access SOP delay, citing patient privacy concerns Actian targets secure, compliant AI with new vector database Payers promise standardized electronic prior auths MIT EmTech: 2026 is the year AI goes to work As Claude Design debuts, Adobe users -- and buyers -- shrug GoodData joins agentic AI development mix with Agent Builder Comfort, affordability top drivers of digital mental health tool use CMS accelerates Medicare coverage for breakthrough medical devices Weekly news roundup: Tim Cook exits Apple, Meta layoffs intensify and Anthropic investigates Claude Merck inks $1 billion AI drug development deal with Google Cloud OCR settles four HIPAA investigations, prioritizes risk analysis OpenAI launches ChatGPT for Clinicians 90% of patients re-check AI chatbot health info with other sources Gemini Enterprise Agent Platform adds 'connective tissue' to Vertex AI AMA urges greater oversight of AI mental health chatbots CMS benches BALANCE Model for Medicare Former ransomware negotiator pleads guilty to BlackCat conspiracy New Google TPUs multiply AI infrastructure efficiency When brand-name drugs need a prior auth, brace for delays Google unveils data cloud purpose built for agentic AI Snowflake updates further goal of being control pane for AI UnitedHealthcare eliminates prior authorization for rural providers Yelp launches appointment scheduling button from Zocdoc Oracle takes steps toward CMS Health Tech Ecosystem goals OpenAI debuts AI model GPT-Rosalind to speed up drug discovery Which patient care access barriers deter cancer screening? Redis unveils Feature Form to improve AI, ML workloads Adobe defines its AI-powered customer experience platform How to escape agentification pilot purgatory for scalable AI New HSCC guidance tackles third-party AI risk Data quality, fast failures and quick wins key to AI success Stop Overpaying for Storage: A FinOps Guide for CIOs AWS launches AI-driven tool to speed up early-stage antibody discovery AMA: Clinician burnout in specialties persists as overall rates drop Mental health parity remains elusive in 43 states Before revenue cycle AI, payers and providers need to get along Edge and physical AI poised to upend enterprise networks Salesforce releases Agentforce dev tools, updates Agent Fabric Cyberattack continues to disrupt operations at Signature Healthcare FDA reminds sponsors, researchers to report clinical trial results AI arms race leading to prior auth problems, reimbursement cuts Abridge dives deeper into clinical decision support with NEJM, AMA AI provider search is here. How can health orgs stay visible? Judge dismisses No Surprises Act lawsuit against HaloMD What IT leaders should know from Nutanix .NEXT HubSpot builds answer engine optimization into its platform Sutter Health, MemorialCare face class action lawsuit over AI scribe use Latest Qlik tools target helping users achieve AI goals CMS taps Verily, Noom, 150+ others to participate in ACCESS model Starburst intros AI assistant to boost analysis, exploration Payers face faster prior authorization approvals under CMS proposal Lenovo deploys AI data agent for marketing, UX, e-commerce Cisco Galileo buy reflects blurring lines in AI observability CMS proposes 2.4% IPPS bump, joint replacement model expansion Nutanix expands flexibility by building out external storage Amazon Pharmacy adds Lilly's obesity pill with same-day delivery ServiceNow AI pricing change takes on enterprise ROI struggles Oracle's Sudha Raghavan on AI's infrastructure renaissance
Patients unsure what to trust amid health information overload
2026-04-13 · via WhatIs

Sara Heath

By

Published: 13 Apr 2026

Are patients hitting a health information overload? Perhaps, according to new data from the Pew Research Center, which finds that half of patients find it at least somewhat difficult to determine the accuracy of the health information available at their fingertips.

The survey, based on responses from more than 5,000 U.S. adults, also found that 54% think it's at least somewhat difficult to parse fact from fiction when presented with conflicting health guidance.

These findings come as the healthcare industry contends with a new source of patient education: AI chatbots such as ChatGPT, Gemini or Claude.

Of note, many in the industry laud these tools, saying they can promote patient engagement and healthcare access where the traditional medical system has failed. However, experts have also cautioned about AI's limitations, particularly regarding patient safety and access to credible, clinician-backed information.

According to the survey, those chatbots aren't gaining widespread use, at least not yet. Only about a fifth (22%) of respondents said they use AI chatbots to access health information. Instead, most (85%) said they still rely on their healthcare providers to learn about their health. These findings reflect those of similar surveys.

The problem at hand isn't overreliance on AI, the survey indicated. Rather, it could be an information overload that's making it hard for patients to know what's credible and what isn't.

Health information has a credibility problem

Patients have numerous options for learning about their health. Most get health information from their doctors, but they can also look at the following sources:

  • People who have similar health issues as you (66% at least sometimes).
  • Major health information websites, such as WebMD or Mayo Clinic (60% at least sometimes).
  • News organizations and journalists (46% at least sometimes).
  • Government health agencies (45% at least sometimes).
  • Social media (35% at least sometimes).
  • AI Chatbots (22% at least sometimes).

However, patients don't always trust the information they access. While nearly all patients (96%) trust their doctors for health information, they question other sources.

Notably, 19% don't think the information from government agencies is accurate, while 47% feel the same about information found on social media and 23% for AI chatbots.

What's more, patients have trouble judging the accuracy of health information, indicating patient health literacy and media literacy problems.

Overall, 50% of respondents said it's at least somewhat difficult to judge the accuracy of health information, with 12% saying it's extremely difficult. This was more common among younger patients, those with lower educational attainment and those with lower incomes.

The survey didn't dig into what, specifically, makes it hard for patients to judge the accuracy of health information. However, low patient health literacy, plus the growing list of medical resources, could be obscuring health messaging.

Mixed messaging hampers health literacy

The survey indicated another issue with healthcare's media landscape -- there's rampant mixed messaging.

Overall, 56% of Americans said they've seen or heard health information that seems to conflict with other health information they've gotten. Of those, 27% said it happens often or extremely often.

When this happens, patients struggle to parse fact from fiction, with 15% saying it's extremely hard to judge which conflicting message is the accurate one. Another 39% said it's somewhat difficult.

This problem can compound, the survey added. Those who see conflicting healthcare messages often or extremely often are more likely than their peers to say it's hard to know which information to trust.

Tailoring messaging for trust

As healthcare professionals grapple with a changing health information landscape, it will be important to understand what helps build patient trust.

Notably, patients want their health information to come from someone with medical training and for those individuals to be transparent about potential conflicts of interest. This is unsurprising, as healthcare providers remain the most common and most trusted source of health information.

But there is an accessibility element that medical professionals must be mindful of, particularly regarding health literacy.

Nearly three-quarters (72%) of respondents said that information that is simple and easy to understand is extremely important to them. Many healthcare providers perform well in this area, the Pew survey showed, with respondents agreeing that clinician-led information is easy to understand (55%), personalized (52%) and convenient to get (49%).

But there's room to grow, as patient demand for healthcare and health information grows faster than providers can meet it. Other sources -- notably health information websites and AI chatbots -- are also considered easy to understand and access.

Healthcare providers shouldn't resist these tools, which make it easier for patients to learn more about their health. Instead, by understanding how patients use them, clinicians can help them determine the best use cases and assess potentially unhelpful guidance.

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

Dig Deeper on Patient data access