Process mining for healthcare: Characteristics and challenges
Pontificia Universidad Católica de Chile · Hasselt University · +35 more institutions
Abstract
Process mining techniques can be used to analyse business processes using the data logged during their execution. These techniques are leveraged in a wide range of domains, including healthcare, where it focuses mainly on the analysis of diagnostic, treatment, and organisational processes. Despite the huge amount of data generated in hospitals by staff and machinery involved in healthcare processes, there is no evidence of a systematic uptake of process mining beyond targeted case studies in a research context. When developing and using process mining in healthcare, distinguishing characteristics of healthcare processes such as their variability and patient-centred focus require targeted attention. Against…
Citation impact
- FWCI
- 48.93
- Percentile
- 100%
- References
- 179
Authors
55- JMJorge Muñoz-GamaCorresponding
Pontificia Universidad Católica de Chile
- NMNiels MartinCorresponding
Hasselt University, Research Foundation - Flanders
- CFCarlos Fernández-LlatasCorresponding
Karolinska Institutet, Universitat Politècnica de València
- OJOwen JohnsonCorresponding
University of Leeds
- MSMarcos SepúlvedaCorresponding
Pontificia Universidad Católica de Chile
Topics & keywords
- Health care
- Process mining
- Process (computing)
- Context (archaeology)
- Data science
- Computer science
- Alliance
- Domain (mathematical analysis)
Funding
- UDU.S. Department of EnergyAwards: AC05-00OR22725, DE-AC05, 00OR22725
- BBattelleAwards: AC05-00OR22725, DE-AC05, DE-AC05-00OR22725
- UUT-BattelleAwards: DE-AC05-, AC05-00OR22725
- PUPontificia Universidad Católica de ChileAward: ANID-PFCHA/Doctorado Nacional/2019-21190116
- ANAgencia Nacional de Investigación y DesarrolloAwards: ANID-PFCHA/Doctorado Nacional/2019-21190116, 1220202