AHRMM Member Price: Free | Non-Member Price: $99 | CPE: 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 our scanning series, Scanning 301 will focus on how automated capture of the UDI at the point of care serves as the basis with which to improve current operations and ultimately predict which devices will be the most effective for specific patient populations.
This session’s speakers will explain how the UDI coupled with machine learning and/or Artificial intelligence (AI) will help track devices and implants and understand their impact in ways we never thought possible. They will provide examples of how information you currently collect can be used to improve operational efficiencies and steps you can take to enhance its future potential.
How This Session Relates To The AHRMM CQO Movement: Using scanning and machine learning technologies can improve an organization’s data accuracy which, along with maximizing software functionality, can lead to more accurate reports that can help decision making.
- 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.
This webinar was sponsored by Champion Healthcare Technologies and Zebra Technologies.
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).
To download a white paper on UDI Best Practices for Medical Implant Tracking from Champion Healthcare Technologies, click here (you will need to share your email with Champion to download the paper).
Target Audience: 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 have not yet implemented scanning, but would like to better understand long term benefits to promote internal UDI initiatives to senior management. IT managers, SC distribution managers and directors, compliance managers and directors; VPs of SC, CNOs, CFOs, and other provider personnel involved in or responsible for the implementation of the FDA UDI program.
- Mike Nolan, President, Automatic Identification Systems (AIS)
- Peter Casady, President and CEO, Champion Healthcare Technologies
- Chris Sullivan, Global Healthcare Practice Lead, Zebra Technologies