Tailored Process Feedback Through Process Mining for Surgical Procedures in Medical Training: The Central Venous Catheter Case

Lira, Ricardo; Salas-Morales, Juan; Fuente, René de la; Fuentes, Héctor R.; Sepúlveda, Marcos; Arias, Michael; Herskovic, Valeria; Muñoz-Gama, Jorge

doi:10.1007/978-3-030-11641-5_13

Cited by 7 publications

(9 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The medical training dataset from the conformance checking challenge (CCC.2019) [13] was adopted for this study. The particular dataset is composed of the medical training process, especially for medical students of the Pontifical Catholic University of Chile, to learn CVC installation with ultrasound [14]. This process suggests induction of catheter (tube) in a central vein, helping on conveying liquid or prescriptions to the patient, among different uses.…”

Section: Methodology 21 Datasetmentioning

confidence: 99%

“…To the best of our knowledge, it is the first study on the conformance check challenge on CVC installation. In the study of [14], an explanation on the use of process mining strategies to find out feedback on different interests of the surgery process was done. The main limitation of this study was not to disclose the primary activity involvement and their contribution to the conformance check.…”

Section: Model Discovery and Replay Fitness Validationmentioning

confidence: 99%

See 1 more Smart Citation

Model discovery, and replay fitness validation using inductive mining techniques in medical training of CVC surgery

Battineni

Chintalapudi

Amenta

2020

ACI

View full text Add to dashboard Cite

Medical training is a foundation on which better health care quality has been built. Freshly graduated doctors have required a good knowledge of practical competencies, which demands the importance of medical training activities. As of this, we propose a methodology to discover a process model for identifying the sequence of medical training activities that had implemented in the installation of a Central Venous Catheter (CVC) with the ultrasound technique. A dataset with twenty medical video recordings were composed with events in the CVC installation. To develop the process model, the adoption of process mining techniques of infrequent Inductive Miner (iIM) with a noise threshold value of 0.3 had done. A combination of parallel and sequential events of the process model was developed. Besides, process conformance was validated with replay fitness value about 61.1%, and it provided evidence that four activities were not correctly fit in the process model. The present study can assist upcoming doctors involved in CVCs surgery by providing continuous training and feedback on better patient care.

show abstract

Section: Methodology 21 Datasetmentioning

confidence: 99%

Section: Model Discovery and Replay Fitness Validationmentioning

confidence: 99%

Model discovery, and replay fitness validation using inductive mining techniques in medical training of CVC surgery

Battineni

Chintalapudi

Amenta

2020

ACI

View full text Add to dashboard Cite

show abstract

“…This algorithm was developed to explore unstructured processes and offers the flexibility to adjust user‐defined levels of significance and correlation thresholds 21 . Most of the process mining commercial software algorithms are based on the Fuzzy Miner, such as Celonis ® Tools 27 and Fluxicon ® Disco 28…”

Section: Related Workmentioning

confidence: 99%

Evaluation of patient transport service in hospitals using process mining methods: Patients' perspective

Kropp

Faeghi

Lennerts

2022

Health Planning & Management

View full text Add to dashboard Cite

Designing healthcare facilities and their processes is a complex task which influences the quality and efficiency of healthcare services. The ongoing demand for healthcare services and cost burdens necessitate the application of analytical methods to enhance the overall service efficiency in hospitals. However, the variability in healthcare processes makes it highly complicated to accomplish this aim. This study addresses the complexity in the patient transport service process at a German hospital, and proposes a method based on process mining to obtain a holistic approach to recognise bottlenecks and main reasons for delays and resulting high costs associated with idle resources. To this aim, the event log data from the patient transport software system is collected and processed to discover the sequences and the timeline of the activities for the different cases of the transport process. The comparison between the actual and planned processes from the data set of the year 2020 shows that, for example, around 36% of the cases were 10 or more minutes delayed. To find delay issues in the process flow and their root causes the data traces of certain routes are intensively assessed.

show abstract

“…One of the challenges in process mining is related to the ability to extract suitable events (van der Aalst, 2016). Moreover, obtaining event logs produced by the systems is becoming more complex, as the systems tend to produce massive, distributed, heterogeneous, and complex data in new Internet-of-Things (IoT) and Cyber-Physical Systems (CPS) environments and to derive chaotic combinations of elements (Lira et al, 2019;Tax, Sidorova, & van der Aalst, 2019) without structured schema. These issues bring about an extra level of complexity to be managed by the current process mining solutions that involve the use of event logs because they focus primarily on structured homogeneous data.…”

Section: Introductionmentioning

confidence: 99%

Enabling Process Mining in Airbus Manufacturing

Valencia-Parra

Ramos-Gutiérrez

Varela-Vaca

et al. 2021

Business Process Management Cases Vol. 2

View full text Add to dashboard Cite

Tailored Process Feedback Through Process Mining for Surgical Procedures in Medical Training: The Central Venous Catheter Case

Cited by 7 publications

References 19 publications

Model discovery, and replay fitness validation using inductive mining techniques in medical training of CVC surgery

Model discovery, and replay fitness validation using inductive mining techniques in medical training of CVC surgery

Evaluation of patient transport service in hospitals using process mining methods: Patients' perspective

Enabling Process Mining in Airbus Manufacturing

Contact Info

Product

Resources

About