Conformance checking with different levels of granularity : A case study on bariatric surgery

Sato, Denise Maria Vecino; Freitas, Sheila C. de; Dallagassa, Marcelo Rosano; Scalabrin, Edson Emílio; Portela, Eduardo; Carvalho, Déborah Ribeiro

doi:10.1109/cisp-bmei51763.2020.9263635

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…While conformance checking offers great potential, Sato et al [75] highlight the challenge that clinical guidelines and protocols are often defined at a different level of aggregation than the events in the event log. To tackle this problem and using the pre-operative phase of bariatric surgery as an illustration, the high-level activities in the reference model are explicitly mapped to the events included in the event log.…”

Section: Conformance Checkingmentioning

confidence: 99%

Using Process Mining in Healthcare

Martin

Wittig²,

Muñoz-Gama

2022

Lecture Notes in Business Information Processing

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This 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.

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Section: Conformance Checkingmentioning

confidence: 99%