Are you looking for information on a symptom, treatment, or disease, and you come across ten contradictory results? The problem is not the lack of medical content online, but its unfiltered abundance. Finding reliable health resources requires understanding how medical information is produced, validated, and then updated.
ANS Compliance Certificate: the standard that filters digital health services
Since December 31, 2024, any digital health service that processes medical data for third parties must obtain a compliance certificate issued by the Digital Health Agency (ANS). This requirement applies to platforms, applications, and software that handle health data.
In practical terms, this certificate conditions the listing in the digital Ségur program. A platform that has not obtained it cannot be included in this official ecosystem. For a user, checking whether a digital service has this compliance is a quick initial filter.
This regulatory requirement remains little known to the general public. Most online guides focus on outdated labels or the reputation of sites, without mentioning this recent legal framework. When evaluating a health application or portal, looking for the mention of ANS compliance on their legal pages gives you a tangible indication of seriousness.
Among the portals that structure their content around source verification, Skeptic North’s health resources apply a critical reading grid to common medical claims.
Artificial Intelligence and Health Research: why verify every answer
Have you ever asked a medical question to a chatbot? The answer seemed clear, well-phrased, almost reassuring. The problem is precisely here: an AI-generated answer can be convincing and incorrect at the same time.
Communications from the High Authority of Health published between 2024 and 2026 point out several qualitative limitations of AI tools in health. The studies or recommendations cited by these tools must be verified directly at the source. A chatbot does not have the complete clinical context of a patient.
What AI does not replace
Only a doctor can establish a diagnosis or prescribe treatment. An AI-generated answer, no matter how detailed, is never sufficient to make a health decision. AI can help formulate questions before a consultation or understand a medical term. It does not replace clinical examination.
The risk of uncontrolled disclosure of personal health data is another blind spot. When you describe your symptoms to a chatbot, this information passes through servers whose hosting conditions vary by provider. Before entering personal medical data, check the service’s privacy policy.
Concrete criteria for evaluating an online health source
Rather than providing a list of sites to consult (which changes over time), here are the criteria that allow you to evaluate any source yourself.
- Identifiable and qualified author: a reliable medical article mentions the name of its author, their specialty, and their institutional affiliation. The absence of a signature is a warning signal.
- Visible update date: medicine evolves. Content without a publication or revision date does not guarantee that it reflects current knowledge.
- Cited and verifiable references: claims are based on studies, recommendations from scientific societies, or epidemiological data. Links to these sources must work.
- Absence of hidden conflicts of interest: a site funded by a pharmaceutical company that recommends products from that same company presents a bias. Declarations of conflicts of interest should appear on the page.
- Separation between editorial content and advertising: on a reliable site, sponsored content is clearly identified and distinguished from informative articles.
The trap of sponsored results in search engines
The top results displayed by Google on a health query are not always the most reliable. Some are paid advertisements. Others benefit from good SEO without a guarantee of scientific rigor.
Google’s “AI Overviews” features, which generate automatic summaries at the top of the page, pose an additional problem. These summaries compile several sources without always distinguishing their level of reliability. Reading the summary without clicking on the sources amounts to trusting a synthesis algorithm, not medical expertise.
Health data and misinformation: the role of French institutions
In France, several organizations produce medical information validated by scientific committees. The High Authority of Health (HAS) publishes clinical practice recommendations intended for professionals but accessible to the public. Inserm conducts specific actions to combat health misinformation.
Public Health France manages several thematic sites aimed at the general public: vaccination, nutrition, addictions. These portals are fed by epidemiological data collected on a national scale.
Cross-checking at least two institutional sources before considering information reliable remains the simplest method. If a claim appears on only one site, and that site is not affiliated with any recognized organization, caution is warranted.
The case of social networks
Social networks are a massive vector of health misinformation. A viral post about a miracle treatment has no scientific value, even if shared by thousands of people. The popularity of content says nothing about its reliability.
Health professionals present on these platforms can be useful relays, provided you verify their actual qualifications. An account followed by many subscribers is not a guarantee of medical competence.
Searching for reliable health information is not an innate skill. It is learned, just like learning to read a food label. Checking the author, date, sources, and conflicts of interest takes a few minutes and changes the quality of the decisions you make for your health.
