Scanning 301

Outcomes: Patient Safety and Cost Savings

Content Areas: Technology | Tags: Analytics, Cost Management, Inventory Management, UDI | Formats: Event
Member Price: Free | Non-Member Price: $99 | CPE Credit: 1

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.

How this Session Relates to the Cost, Quality, and Outcomes (CQO) MovementUsing scanning and machine learning technologies can improve an organization’s data accuracy which, along with maximizing software functionality, can lead to more accurate data that can help with decision making.

Who Should Attend This Webinar? Scanning 301 is directed towards those who have implemented and are scanning the UDI, and are looking to maximize the data they are capturing to evaluate utilization, minimize variation, and improve patient outcomes. It is also recommended for those who haven’t implemented a scanning program, but would like to better understand long term benefits to promote internal UDI initiatives to senior management.

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.

Sponsored By:

Zebra Logo

To download a brief on improved patient safety and business processes with UDIs from Zebra Technologies, click here (you will need to share your email with Zebra to download the brief).

Champion Healthcare Technologies Logo

To download a white paper on UDI Best Practices for Medical Implant Tracking from Champion click here (you will need to share your email with Champion to download the paper).


Presenter: Chris Sullivan, Global Healthcare Practice Lead, Zebra Technologies

Presenter: Mike Nolan, President, Automatic Identification Systems (AIS)

Presenter: Peter Casady, CEO & Co-Founder, Champion Healthcare Technologies