• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to secondary sidebar
  • Skip to footer

  • Opinion
  • Health IT
    • Behavioral Health
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Patient Engagement
    • Population Health Management
    • Revenue Cycle Management
    • Social Determinants of Health
  • Digital Health
    • AI
    • Blockchain
    • Precision Medicine
    • Telehealth
    • Wearables
  • Life Sciences
  • Investments
  • M&A
  • Value-based Care
    • Accountable Care (ACOs)
    • Medicare Advantage

Authenticx Launches AI Models to Detect Reportable Events in Healthcare Conversations

by Fred Pennic 08/16/2024 Leave a Comment

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

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.

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Tagged With: Artificial Intelligence

Tap Native

Get in-depth healthcare technology analysis and commentary delivered straight to your email weekly

Reader Interactions

Primary Sidebar

Subscribe to HIT Consultant

Latest insightful articles delivered straight to your inbox weekly.

Submit a Tip or Pitch

Featured Research Report

2026 Best in KLAS Awards: The Full List of Software & Services Winners

Most-Read

The "Platform" Squeeze: Epic Releases Native AI Charting, Putting Venture-Backed Scribes on Notice

The “Platform” Squeeze: Epic Releases Native AI Charting, Putting Venture-Backed Scribes on Notice

Analysis: Oracle Cerner’s Plans for a National EHR

Oracle May Cut 30k Jobs and Sell Cerner to Fund $156B OpenAI Deal

The $1.9B Exit: Why CommonSpirit is Insourcing Revenue Cycle and Tenet is Betting Big on Conifer AI

The $1.9B Exit: Why CommonSpirit is Insourcing Revenue Cycle and Tenet is Betting Big on Conifer AI

KLAS 2026 Rankings: Aledade and Guidehealth Named Top VBC Enablement Firms

KLAS 2026 Rankings: Aledade and Guidehealth Named Top VBC Enablement Firms

Beyond the Hype: New KLAS Data Validates the Financial and Clinical ROI of Ambient AI

Beyond the Hype: New KLAS Data Validates the Financial and Clinical ROI of Ambient AI

Anthropic Debuts ‘Claude for Healthcare’ and Opus 4.5 to Engineer the Future of Life Sciences

Anthropic Debuts ‘Claude for Healthcare’ and Opus 4.5 to Engineer the Future of Life Sciences

OpenAI Debuts ChatGPT Health: A ‘Digital Front Door’ That Connects Medical Records to Agentic AI

OpenAI Debuts ChatGPT Health: A ‘Digital Front Door’ That Connects Medical Records to Agentic AI

From Genes to Hackers: The Hidden Cybersecurity Risks in Life Sciences

From Genes to Hackers: The Hidden Cybersecurity Risks in Life Sciences

Utah Becomes First State to Approve AI System for Prescription Renewals

Utah Becomes First State to Approve AI System for Prescription Renewals

NYC Health + Hospitals to Acquire Maimonides in $2.2B Safety Net Overhaul

NYC Health + Hospitals to Acquire Maimonides in $2.2B Safety Net Overhaul

Secondary Sidebar

Footer

Company

  • About Us
  • 2026 Editorial Calendar
  • Advertise with Us
  • Reprints and Permissions
  • Op-Ed Submission Guidelines
  • Contact
  • Subscribe

Editorial Coverage

  • Opinion
  • Health IT
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Population Health Management
    • Revenue Cycle Management
  • Digital Health
    • Artificial Intelligence
    • Blockchain Tech
    • Precision Medicine
    • Telehealth
    • Wearables
  • Startups
  • Value-Based Care
    • Accountable Care
    • Medicare Advantage

Connect

Subscribe to HIT Consultant Media

Latest insightful articles delivered straight to your inbox weekly

Copyright © 2026. HIT Consultant Media. All Rights Reserved. Privacy Policy |