Safeguard your healthcare brand from misinformation, inappropriate content, and harmful comments while staying compliant.
See what changes the moment FeedGuardians is watching your comments.
Most healthcare are protected within 5 minutes. No technical setup, no learning curve.
Instagram, Facebook, and clinic pages — multi-location systems welcome from day one.
Pick what to hide and what to flag for human review. Healthcare-conscious defaults included.
Auto-answer insurance, hours, and booking questions while staff focus on care.
Built for the way you actually work — not generic moderation rules.
AI identifies and flags health misinformation, anti-science claims, and dangerous medical advice in your comment sections.
Automatically detects comments that may contain patient information or violate healthcare communication standards.
Filters out promotion of unverified supplements, fake treatments, and suspicious health product links.
Monitors comment tone to prevent hostile exchanges and keep discussions constructive for patients seeking information.
Healthcare misinformation spreads fast. FeedGuardians monitors and acts on harmful comments around the clock.
Complete logs of all moderation actions for compliance documentation and internal review processes.
Vaccination-related posts attract intense debate and misinformation. FeedGuardians keeps comment sections fact-based and constructive.
A hospital system running a flu vaccination awareness campaign on Facebook had 60% of comments containing misinformation. FeedGuardians reduced visible misinformation to under 5% while preserving genuine patient questions.
Educational health posts need comment sections that reinforce, not undermine, the medical information being shared.
A cardiology practice posting heart health tips on Instagram used FeedGuardians to filter out unverified supplement promotions and dangerous home remedy suggestions, maintaining the integrity of their medical advice.
During public health events, social media becomes a critical communication channel. FeedGuardians ensures your official messaging is not drowned out by misinformation.
A regional health system used FeedGuardians during a local health advisory, filtering out panic-inducing misinformation and scam comments while keeping genuine community questions visible for their communications team to address.
We had to assign a full-time staff member just to moderate comments on our health education posts. FeedGuardians handles it automatically and catches misinformation our team would have missed. It's become essential to our social media strategy.
FeedGuardians processes publicly visible social media comments and does not store or process protected health information (PHI). Our moderation focuses on publicly posted content, and we maintain strict data security practices. However, if a comment contains potential PHI, our AI can flag it for immediate review by your compliance team.
Our AI is trained on healthcare-specific datasets and uses contextual analysis to identify common misinformation patterns, dangerous health claims, and unverified treatment promotions. Legitimate questions and evidence-based discussions are preserved. You can also customize sensitivity levels for your specific use case.
Yes. FeedGuardians can be configured with heightened sensitivity for topics like mental health, reproductive health, and chronic illness. The AI understands context and applies appropriate moderation without over-censoring genuine patient conversations.
Yes. FeedGuardians provides detailed audit trails and exportable reports of all moderation actions, including timestamps, comment content, and reasons for hiding. This documentation can be used for internal compliance reviews and regulatory reporting.
FeedGuardians supports team access with role-based permissions. Your communications team, compliance officers, and social media managers can all have appropriate access levels to review and manage moderation actions.
Join thousands of healthcare using FeedGuardians to keep their comments clean, safe, and conversion-ready.
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