2016
DOI: 10.1016/j.compbiomed.2016.08.007
|View full text |Cite
|
Sign up to set email alerts
|

A guide for the application of analytics on healthcare processes: A dynamic view on patient pathways

Abstract: Process analytics offers new insights into the medical services patients follow, how medical resources relate to each other and whether patients and healthcare processes comply with guidelines and regulations.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
26
0
4

Year Published

2018
2018
2023
2023

Publication Types

Select...
4
3
2

Relationship

0
9

Authors

Journals

citations
Cited by 35 publications
(30 citation statements)
references
References 32 publications
0
26
0
4
Order By: Relevance
“…We adapted and incorporated Lismont et al's 25 process mining methodology, which uses an iterative approach to tackle the peculiarities of health care data. The overview of our study design is depicted in ►Fig.…”
Section: Methodsmentioning
confidence: 99%
“…We adapted and incorporated Lismont et al's 25 process mining methodology, which uses an iterative approach to tackle the peculiarities of health care data. The overview of our study design is depicted in ►Fig.…”
Section: Methodsmentioning
confidence: 99%
“…A particular problem faced in process mining in healthcare contexts is that processes tend to be complex and dynamic, involve multiple disciplines or departments, and may be adhoc [40], [29], allowing many variants. Process discovery then results in so-called 'spaghetti' models [50], [15] -too complex to interpret or visualise.…”
Section: Process Mining Approachmentioning
confidence: 99%
“…It allows for automatically identifying process models (process discovery), recognizing the adherence in the execution of a process (conformance checking), identifying performance metrics (performance checking), besides many other applications. We identified only two studies [Caron et al, 2014;Lismont et al, 2016] that applied existing process mining techniques to help in the evaluation and management of CPs. Hence, our second objective in this thesis is to demonstrate that the use of a set of process mining techniques is helpful in the evaluation of a sepsis CP.…”
Section: List Of Abbreviations 1 Introductionmentioning
confidence: 99%
“…Hence, our second objective in this thesis is to demonstrate that the use of a set of process mining techniques is helpful in the evaluation of a sepsis CP. Differently from these two studies [Caron et al, 2014;Lismont et al, 2016], in our research, we selected and employed process mining techniques to tackle real needs and challenges identified from a Brazilian hospital. In addition, we validated the outcomes and their utility with a panel of experts.…”
Section: List Of Abbreviations 1 Introductionmentioning
confidence: 99%