Using AI for CAPA and Root-Cause Investigations

Webcast

*Thursday, May 6, 2021 at 2pm EDT | 1pm CDT | 11am PDT* Learn how artificial intelligence can be used to investigate corrective and preventive actions, pinpoint the root cause of the most common complaints, tell if training is effective, and identify the combination of materials and workers to increase production. *On Demand Until May 6, 2022*

Register free: ​https://www.pharmtech.com/pt_w/CAPA

Event Overview:

The life sciences industry perpetually has been faced with a set of mutually exclusive options: move quickly or move safely. Companies could either take their time developing products to ensure high quality, or they could move to market quickly and take the risk of missing a quality problem. Fortunately, the technology now exists that allows companies to move quickly without compromising safety and quality.

The abilities of artificial intelligence (AI) are usually so aggrandized that it can be hard to imagine AI playing a humbler role in quality management. However, that’s exactly what connected quality data offers. And this isn’t a case of a machine taking over a human’s job—at least, not any job a human wants to be doing. AI can’t innovatively improve quality, but it can investigate corrective and preventive actions (CAPAs) with minimal, or no, human involvement. It can similarly pinpoint the root cause of the most common complaints, tell if training is effective, and the exact combination of materials and workers to increase production.

In most cases, these tasks can be done quicker and more efficiently by AI. This alone means companies can move faster while maintaining quality. One of the problems with any innovation is not knowing exactly how it’s going to turn out. Unforeseen consequences have a way of derailing seemingly cutting-edge ideas. Companies that use advanced analytics don’t have to learn the hard way because applications with the right data can tell them what will happen before they implement anything. Ideas that once seemed too risky to try can be put to the test quickly with no risk before any investment is made.

Key Learning Objectives:

  • How data can be used to identify, investigate, and close a CAPA.
  • The role of AI/advanced analytics in quality processes.
  • How to use risk based monitoring and clinical CAPA to ensure compliance

Time and Date: Thursday, May 6, 2021 at 2pm EDT | 1pm CDT | 11am PDT

On demand available after final airing until May 6, 2022

Sponsor: Master Control

Register free: https://www.pharmtech.com/pt_w/CAPA