Automating Clinical LC-Tandem MS Data Review and Information Transfer Know Your Options
In this presentation we will discuss different options for automating quantitative LC-MS/MS data review, with a focus on exploiting the existing features of your LC-MSMS instrument, middleware and LIS/LIMS software. In order to achieve the most productive automated data review - it is advantageous to transfer LC-MS/MS metadata, as well as identifiers and results, electronically between instruments and middleware/LIS/LIMS applications. Transferring metadata across instrument interfaces presents some challenges - tips on implementation and case histories demonstrating how metadata can be useful for automation will be presented.
After attending this webinar you will be able to:
Describe three examples of validating acceptance criteria for LC-MS/MS metadata, such as MRM qualifier ratio, relative retention time, and internal standard relative abundance, to use for improving the quality of LC-MS/MS result reporting.
List the steps for reviewing LC-MS/MS data with a "review by query or flagging failure" workflow and software features that facilitate that process.
Explain the barriers to transferring metadata across instrument interfaces and two reasons to use metadata for data review automation.
Judy Stone, MT (ASCP), Ph.D., DABCC, UC San Diego Health System, San Diego, CA