Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Darshan Kulkarni. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Darshan Kulkarni or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Are Pharma Chatbots Putting You at Regulatory Risk?

5:34
 
Share
 

Manage episode 517180451 series 3506216
Content provided by Darshan Kulkarni. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Darshan Kulkarni or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Pharmaceutical chatbots are increasingly used to answer patient drug questions, but they carry significant regulatory and compliance risks. While the FDA has issued guidance on AI in drug development and medical devices, it does not yet provide a framework for patient-facing drug Q&A. That means chatbots that discuss side effects, dosing, or interactions exist in a gray zone, and any missteps could trigger FDA enforcement.

The FTC enforces truth in advertising and consumer protection. Misleading claims, impersonating a doctor, or offering unverified information can lead to investigations. Some states, like Illinois, Nevada, Utah, and New York, are adding additional requirements such as licensed supervision or mandatory disclosures.

The OIG and DOJ are also paying attention. If a chatbot steers patients toward off-label use that affects Medicare or federal healthcare claims, it could lead to fraud investigations. The DOJ’s new healthcare fraud task force has already targeted AI misuse in healthcare.

Studies show chatbots provide inaccurate drug information 5–13% of the time, often with confidence, and sometimes at a reading level too high for many patients. These errors can misinform or even harm users, and regulators focus on outcomes, not intent.

Best practices include disclosing that the chatbot is not medical advice, avoiding personalized dosing recommendations, auditing responses, implementing escalation paths to live healthcare professionals, and ensuring privacy and HIPAA compliance. With proper oversight, tools like Ceres can help document disclosures and escalation pathways, keeping innovation safe and compliant.

Support the show

  continue reading

291 episodes

Artwork
iconShare
 
Manage episode 517180451 series 3506216
Content provided by Darshan Kulkarni. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Darshan Kulkarni or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Pharmaceutical chatbots are increasingly used to answer patient drug questions, but they carry significant regulatory and compliance risks. While the FDA has issued guidance on AI in drug development and medical devices, it does not yet provide a framework for patient-facing drug Q&A. That means chatbots that discuss side effects, dosing, or interactions exist in a gray zone, and any missteps could trigger FDA enforcement.

The FTC enforces truth in advertising and consumer protection. Misleading claims, impersonating a doctor, or offering unverified information can lead to investigations. Some states, like Illinois, Nevada, Utah, and New York, are adding additional requirements such as licensed supervision or mandatory disclosures.

The OIG and DOJ are also paying attention. If a chatbot steers patients toward off-label use that affects Medicare or federal healthcare claims, it could lead to fraud investigations. The DOJ’s new healthcare fraud task force has already targeted AI misuse in healthcare.

Studies show chatbots provide inaccurate drug information 5–13% of the time, often with confidence, and sometimes at a reading level too high for many patients. These errors can misinform or even harm users, and regulators focus on outcomes, not intent.

Best practices include disclosing that the chatbot is not medical advice, avoiding personalized dosing recommendations, auditing responses, implementing escalation paths to live healthcare professionals, and ensuring privacy and HIPAA compliance. With proper oversight, tools like Ceres can help document disclosures and escalation pathways, keeping innovation safe and compliant.

Support the show

  continue reading

291 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play