Authenticx has released a next-generation solution and suite of AI models that can detect healthcare-specific reportable events. The release is poised to "revolutionize contact center operations" and help pharmacovigilance and patient safety teams to operate more efficiently and with more context.
The new suite of AI models reviews customer interactions and can detect various reportable Safety Events, such as product quality complaints or HIPAA compliance.
"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.
The Authenticx Safety Event suite boosts efficiency and minimizes risk by automating the detection of adverse events, product quality complaints, and HIPAA violations, reducing manual work and improving accuracy. It ensures proper reporting and escalation by tracking and highlighting potential issues in call transcripts, aiding compliance and pharmacovigilance teams. The suite enhances collaboration by integrating AI with human reviewers to complete thorough assessments and meet deadlines. Additionally, it tracks and analyzes patterns over time, allowing for continuous improvements in patient engagement.
"We meticulously built our suite of Safety Event AI Models with reports, questionnaires, and governance frameworks to ensure adherence to industry standards and guidelines. With a focus on transparency, compliance, and safety, clients can harness the value of these tools while having the resources to navigate the complex regulatory landscape," said Michael Armstrong, Chief Technology Officer of Authenticx.
