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Authenticx Launches AI Models to Detect Reportable Events in Healthcare Conversations

by Fred Pennic 08/16/2024 Leave a Comment

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What You Should Know: 

– Authenticx, a leader in conversational intelligence for healthcare launches new suite of AI models capable of detecting reportable events within customer interactions. 

– The new AI models empowers pharmacovigilance and patient safety teams to operate more efficiently and effectively.

Detecting Healthcare-Specific Compliance Events and Streamlining Reporting

The AI models can identify various reportable safety events, including adverse events, product quality complaints, special product conditions, and HIPAA compliance issues. By analyzing customer conversations, the models can accurately detect these events with a 98% accuracy rate and a false negative rate of less than 1%.

This technology streamlines the reporting process by automating the detection of potential safety events, allowing human teams to focus on higher-level analysis and action. Additionally, the AI models provide valuable insights into emerging trends and risks, enabling organizations to proactively address patient safety concerns.

Authenticx’s solution offers several key benefits:

  • Improved efficiency: Automated detection of safety events reduces manual review time and resources.
  • Enhanced accuracy: High accuracy rates in identifying reportable events minimize risks and errors.
  • Enhanced compliance: Streamlined reporting and escalation processes help organizations adhere to regulatory standards.
  • Data-driven insights: Comprehensive tracking and analysis of safety events inform risk management strategies.

“Identifying, confirming, and reporting adverse events is an expensive and high-risk issue for pharmaceutical groups that also directly impacts patient populations. Without this Safety Event solution, agents must take detailed notes, try to remember the context of the call afterward, and manually submit a long and arduous form that is then reviewed by pharmacovigilance teams. This process can yield over-reporting for fear of missing Adverse Events, or under-reporting if a representative doesn’t properly identify the issue,” said Eric Prugh, Chief Product Officer of Authenticx.

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