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Content provided by Jessica Zeff, Lorie Davis, & Elvan Baker, Jessica Zeff, Lorie Davis, and Elvan Baker. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jessica Zeff, Lorie Davis, & Elvan Baker, Jessica Zeff, Lorie Davis, and Elvan Baker 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.
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The Good, The Bad, and The Bot: AI’s Role in Healthcare Fraud

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Manage episode 498418950 series 3672554
Content provided by Jessica Zeff, Lorie Davis, & Elvan Baker, Jessica Zeff, Lorie Davis, and Elvan Baker. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jessica Zeff, Lorie Davis, & Elvan Baker, Jessica Zeff, Lorie Davis, and Elvan Baker 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.

Jessica, Lorie, and Elvan (your favorite Compliance professionals) are back with another installment of Compliance Deconstructed and In this insightful episode, they explore the growing role of Artificial Intelligence (AI) in detecting and preventing healthcare fraud. With healthcare systems facing persistent issues of fraud, waste, and abuse, AI offers new tools to identify patterns, flag anomalies, and streamline compliance efforts.

The discussion dives into how AI can both help and hinder fraud detection, acting as a powerful tool for compliance or a potential risk when exploited by bad actors. Real-world examples illustrate how AI identifies unusual billing patterns or fabricated documentation that may warrant further investigation.

Jessica, Lorie, and Elvan emphasize the importance of human oversight in AI-driven systems, especially to prevent bias and ensure ethical use. They also discuss the risks of using AI in processes like prior authorizations, where automation must be carefully balanced with clinical judgment.

To wrap up, the episode offers a practical guide for healthcare organizations looking to implement AI responsibly. The key message: AI is not a silver bullet, but with careful deployment and continuous monitoring, it can significantly enhance fraud prevention while safeguarding fairness and patient care.

✅ Key Takeaways

  • AI can rapidly analyze claims data to detect unusual billing patterns and potential fraud.
  • Criminals may also use AI to commit fraud, making it a double-edged sword.
  • Natural Language Processing (NLP) enables AI to review documentation and identify inconsistencies or deceptive language.
  • Bias in AI systems is a real risk and must be addressed through diverse training data and human oversight.
  • AI in prior authorizations can speed up approvals but must be carefully monitored to avoid inappropriate denials.
  • Successful implementation of AI for fraud detection requires a step-by-step approach, including data quality, oversight, and transparency.

Learn more about Healthcare Compliance and discover how Simply Compliance can help your company at simplycomplianceconsulting.com.

  continue reading

10 episodes

Artwork
iconShare
 
Manage episode 498418950 series 3672554
Content provided by Jessica Zeff, Lorie Davis, & Elvan Baker, Jessica Zeff, Lorie Davis, and Elvan Baker. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jessica Zeff, Lorie Davis, & Elvan Baker, Jessica Zeff, Lorie Davis, and Elvan Baker 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.

Jessica, Lorie, and Elvan (your favorite Compliance professionals) are back with another installment of Compliance Deconstructed and In this insightful episode, they explore the growing role of Artificial Intelligence (AI) in detecting and preventing healthcare fraud. With healthcare systems facing persistent issues of fraud, waste, and abuse, AI offers new tools to identify patterns, flag anomalies, and streamline compliance efforts.

The discussion dives into how AI can both help and hinder fraud detection, acting as a powerful tool for compliance or a potential risk when exploited by bad actors. Real-world examples illustrate how AI identifies unusual billing patterns or fabricated documentation that may warrant further investigation.

Jessica, Lorie, and Elvan emphasize the importance of human oversight in AI-driven systems, especially to prevent bias and ensure ethical use. They also discuss the risks of using AI in processes like prior authorizations, where automation must be carefully balanced with clinical judgment.

To wrap up, the episode offers a practical guide for healthcare organizations looking to implement AI responsibly. The key message: AI is not a silver bullet, but with careful deployment and continuous monitoring, it can significantly enhance fraud prevention while safeguarding fairness and patient care.

✅ Key Takeaways

  • AI can rapidly analyze claims data to detect unusual billing patterns and potential fraud.
  • Criminals may also use AI to commit fraud, making it a double-edged sword.
  • Natural Language Processing (NLP) enables AI to review documentation and identify inconsistencies or deceptive language.
  • Bias in AI systems is a real risk and must be addressed through diverse training data and human oversight.
  • AI in prior authorizations can speed up approvals but must be carefully monitored to avoid inappropriate denials.
  • Successful implementation of AI for fraud detection requires a step-by-step approach, including data quality, oversight, and transparency.

Learn more about Healthcare Compliance and discover how Simply Compliance can help your company at simplycomplianceconsulting.com.

  continue reading

10 episodes

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