Process Mining on the Extended Event Log to Analyse the System Usage During Healthcare Processes (Case Study: The GP Tab Usage During Chemotherapy Treatments)

摘要

In healthcare, process mining has been used in many case studies to discover and analyse process models of patient treatments. Process mining is generally applied to analyse the event log of patient treatments as extracted from the Electronic Health Record (EHR). In this study, we proposed an approach to combine the event log of patient treatments with the clinical user access log of the hospital information system to analyse system usage during patient treatments. Our case study combined an event log of breast cancer patients receiving chemotherapy treatments in the Leeds Cancer Centre with the user access log in the hospital information system. The event log of patient records during chemotherapy was extracted from the EHR system. The clinical user access log was extracted from the Splunk web-based log management system in the hospital. Combining records from those two logs has been useful to provide information on system usage during patient treatment. Our experiment focused on the GPTab, a functionality that allows clinicians during consultations to check on patient records on their GP visits. We applied both statistical and clinical evaluations to ensure that the findings are statistically correct and clinically meaningful. We captured the phenomena of the decreasing number of patients on the subsequent cycles of chemotherapy and when GPTab has been used during the course of chemotherapy. This approach is potentially useful for general cases to analyse system usage during process execution and can be applied to investigate the effects of system changes to process executions.