October 16 | 12pm-1pm CT

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Please join us for a webinar hosted by AHRMM and in collaboration with Zebra Technologies and AIS. This is part 3 in a series of 3 webinars.

Webinar Overview

The rapid advancement of barcode scanning and RFID technologies coupled with improved interoperability will enable a new level of data analytics that will impact the entire health care field.

In the final webinar of the AHRMM scanning series, Scanning 301 will focus on how automated capture of the UDI at the point of care serves as the basis to improve current operations and ultimately predict which devices will be the most effective for specific patient populations. Learn more about Scanning 101 and Scanning 201.

This session’s speakers will explain how the UDI coupled with machine learning and/or Artificial intelligence (AI) will help track devices and implants to understand their impact in ways we never thought possible.

The speakers will provide examples of how current data collected in your health care organization can be used to improve operational efficiencies, and steps you can take to enhance its future potential.


Learning Objectives: 

  • Explain the relationships between UDI, good data (fully populated, accurate, unburdened by human error) and big data.
  • Describe new technologies that will make it possible to capture all devices including surgical tray implants and bill only devices.
  • Identify ways UDI solution capabilities can be expanded to improve operations.
  • Consider how machine learning and AI will augment and enhance data analytics.


  • Mike Nolan, President, Automatic Identification Systems (AIS)
  • Chris Sullivan, Zebra Technologies
  • Peter Casady, former CEO, Champion Healthcare Technologies