dc.creatorMartin N.
dc.creatorWittig N.
dc.creatorMuñoz Gama, Jorge
dc.date.accessioned2024-05-30T17:18:05Z
dc.date.accessioned2024-07-17T22:14:20Z
dc.date.available2024-05-30T17:18:05Z
dc.date.available2024-07-17T22:14:20Z
dc.date.created2024-05-30T17:18:05Z
dc.date.issued2022
dc.identifier10.1007/978-3-031-08848-3_14
dc.identifier1865-51356
dc.identifier18651356 18651348
dc.identifierSCOPUS_ID:85133169266
dc.identifierhttp://www.springer.com/series/7911
dc.identifierhttps://repositorio.uc.cl/handle/11534/86108
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9510248
dc.description.abstractThis chapter introduces a specific application domain of process mining: healthcare. Healthcare is a very promising domain for process mining given the significant societal value that can be generated by supporting process improvement in a data-driven way. Within a healthcare organisation, a wide variety of processes is being executed, many of them being highly complex due to their loosely-structured and knowledge-intensive nature. Consequently, performing process mining in healthcare is challenging, but can generate significant societal impact. To provide more insights in process mining in healthcare, this chapter first provides an overview of healthcare processes and healthcare process data, as well as their particularities compared to other domains. Afterwards, an overview of common use cases in process mining in healthcare research is presented, as well as insights from a real-life case study. Subsequently, an overview of open challenges to ensure a widespread adoption of process mining in healthcare is provided. By tackling these challenges, process mining will become able to fully play its role to support evidence-based process improvement in healthcare and, hence, contribute to shaping the best possible care for patients in a way that is sustainable in the long run.
dc.languageen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relationLecture Notes in Business Information Processing
dc.rightsacceso restringido
dc.subjectEvidence-based process improvement
dc.subjectHealthcare
dc.subjectProcess mining
dc.titleUsing Process Mining in Healthcare
dc.typeartículo


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