Process Variation Detection using Missing Data in a Multihospital Community Practice Anatomic Pathology Laboratory.

ABSTRACT:

Objectives

Barcode-driven workflows reduce patient identification errors. Missing process timestamp data frequently confound our health system's pending lists and appear as actions left undone. Anecdotally, it was noted that missing data could be found when there is procedure noncompliance. This project was developed to determine if missing timestamp data in the histology barcode drive workflow correlated with other process variations, procedure noncompliance, or is an indicator of workflows needing focus for improvement projects.

Materials and methods

Data extracts of timestamp data from January 1, 2018, to December 15, 2018 for the major histology process steps were analyzed for missing data. Case level analysis to determine the presence or absence of expected barcoding ev

SUBMITTER: Galliano GE 

PROVIDER: S-EPMC6686573 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature