MSACL 2019 US Abstract

Self-Classified Topic Area(s): Data Science

Monitoring Clinical Mass Spectrometry System Performance

Shannon Haymond
Northwestern University

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Shannon Haymond (Presenter)
Northwestern University

Relevant Financial Disclosures (within past 24 months)

Committee/Board/Advisory Board AACC BOD, MSCAL Sci Comm

Discussing Products? NO, presenter will NOT present educational content related to products/services of the ineligible company(ies) listed above.

Conflict mitigation NOT REQUIRED.

Abstract

Post-implementation system monitoring is an important aspect of quality assurance and regulatory compliance in clinical mass spectrometry laboratories. At a minimum, laboratories evaluate the consistency and acceptability of parameters, such as retention time, signal intensity, and ion ratio, within a run. This is often achieved through manual entry into a spreadsheet program or onto a paper logsheet. However, there is benefit to trending these performance metrics graphically over time, and in a more automated way. Efforts to interface clinical LC-MS/MS results are making these data increasingly available for inclusion in automated reports or dashboards. This presentation will demonstrate a recently developed tool for monitoring clinical LC-MS/MS system performance using the R programming language.