Characterization of Laboratory Flow and Performance for Process Improvements via Application of Process Mining.

ABSTRACT:

Background

 The rising level of laboratory automation provides an increasing number of logged events that can be used for the characterization of laboratory performance and process improvements. This abundance of data is often underutilized for improving laboratory efficiency.

Objectives

 The first aim of this descriptive study is to provide a structured approach for transforming raw laboratory data to data that is suitable for process mining. The second aim is to describe a process mining approach for mapping and characterizing the sample flow in a clinical chemistry laboratory to identify areas for improvement in the testing process.

Methods

 Data were extracted from instrument log files and the middleware between laboratory instruments and information technology in

SUBMITTER: Tsai ER 

PROVIDER: S-EPMC9946784 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature