Process Mining
Cross-source consensus on Process Mining from 2 sources and 13 claims.
2 sources · 13 claims
Uses
How it works
Benefits
Comparisons
Background
Highlighted claims
- Process mining is a data-driven method that extracts and interprets event logs from hospital information systems. — Application of process mining in healthcare logistics: a systematic literature review protocol
- Process mining supports discovery, monitoring, and optimisation of workflows by visualising activity sequences, identifying bottlenecks, and assessing compliance. — Application of process mining in healthcare logistics: a systematic literature review protocol
- Studies will be included only if process mining is a core method, excluding those using only manual mapping, traditional modelling, or descriptive statistics. — Application of process mining in healthcare logistics: a systematic literature review protocol
- Process mining was pioneered in the late 1990s by Wil van der Aalst and developed from data science and process management. — Application of process mining in healthcare logistics: a systematic literature review protocol
- Process mining differs from traditional process mapping by producing objective models from event data, making it better suited to validating performance and identifying non-compliance. — Application of process mining in healthcare logistics: a systematic literature review protocol
- In healthcare logistics, process mining can reveal how resources and materials move through a system and identify delays, inefficiencies, and coordination issues. — Application of process mining in healthcare logistics: a systematic literature review protocol
- Traditional process mapping relies on stakeholder input and qualitative observation and is useful for exploring undocumented workflows and building consensus. — Application of process mining in healthcare logistics: a systematic literature review protocol
- Pseudonymised, time-stamped routine records are transformed into event logs for process mining to reconstruct care episodes, pathway variants and indicators of inefficiency. — Trans-sectoral patient pathways in urgent and emergency care (TRANSPARENT study): protocol for a prospective, mixed-methods study in Germany
- Established process-discovery methods will reconstruct pathway models, which will be evaluated using conformance metrics. — Trans-sectoral patient pathways in urgent and emergency care (TRANSPARENT study): protocol for a prospective, mixed-methods study in Germany
- Reported process characteristics include pathway length, number and type of sector transitions, inter-event intervals, activity distributions, temporal patterns and process variants. — Trans-sectoral patient pathways in urgent and emergency care (TRANSPARENT study): protocol for a prospective, mixed-methods study in Germany