title: Application of process mining to assess the data quality of routinely collected time-based performance data sourced from electronic health records by validating process conformance.
abstract: Effective and accurate use of routinely collected health data to produce Key Performance Indicator reporting is dependent on the underlying data quality. In this research, Process Mining methodology and tools were leveraged to assess the data quality of time-based Emergency Department data sourced from electronic health records. This research was done working closely with the domain experts to validate the process models. The hospital patient journey model was used to assess flow abnormalities which resulted from incorrect timestamp data used in time-based performance metrics. The research demonstrated process mining as a feasible methodology to assess data quality of time-based hospital performance metrics. The insight gained from this research enabled appropriate corrective actions to be put in place to address the data quality issues.
authors.affiliation: Flinders University of South Australia, Australia lua.perimal-lewis@flinders.edu.au.
authors.forename: Lua
authors.initials: L
authors.lastname: Perimal-Lewis
authors.affiliation: Flinders University of South Australia, Australia.|Flinders Medical Centre, South Australia, Australia.
authors.forename: David
authors.initials: D
authors.lastname: Teubner
authors.affiliation: Flinders University of South Australia, Australia.|Flinders Medical Centre, South Australia, Australia.
authors.forename: Paul
authors.initials: P
authors.lastname: Hakendorf
authors.affiliation: Flinders University of South Australia, Australia.|Flinders Medical Centre, South Australia, Australia.
authors.forename: Chris
authors.initials: C
authors.lastname: Horwood
mesh_terms: D000068598:Data Accuracy; D003625:Data Collection / Q000592:standards* / Q000706:statistics & numerical data; D057225:Data Mining / Q000379:methods / Q000706:statistics & numerical data*; D057286:Electronic Health Records / Q000592:standards* / Q000706:statistics & numerical data; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data; D006760:Hospitalization / Q000639:trends; D006801:Humans; D010043:Outcome and Process Assessment, Health Care; D012189:Retrospective Studies; D013996:Time and Motion Studies
keywords: data quality; electronic health record; electronic medical record; health analytics; key performance indicators; patient journey; process mining; time-based performance metrics