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ABSTRACT: Background
Delays in diagnostic and therapeutic processes are a potentially preventable cause of morbidity and mortality. Process improvement depends on accurate knowledge about as-is processes, historically collected from front-line workers and summarized in flowcharts. Such flowcharts can now be generated by process discovery algorithms supplied with chronological records from real-world cases. However, these algorithms may generate incomprehensible flowcharts when applied to complex unstructured processes, which are common in healthcare. The aim of this study is to evaluate methods for analysing data from real-world cases to determine causes of delay in complex healthcare processes.Methods
Physician insurance claims and hospital discharge data were obtained for patients
SUBMITTER: van Gaal SC
PROVIDER: S-EPMC11605873 | biostudies-literature | 2024 Nov
REPOSITORIES: biostudies-literature