Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

786
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
786
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

486
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
486

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Access to compensation for Aboriginal and Torres Strait Islander people after a road transport injury in New South Wales, Australia.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention·2025
Same author

Counting the cost of hospitalised injury using administrative data in Australia: three considerations from a retrospective cohort data linkage study.

BMJ open·2025
Same author

Prevalence of clinical deterioration in the pre-hospital setting.

Emergency medicine Australasia : EMA·2024
Same author

Potential for advances in data linkage and data science to support injury prevention research.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention·2024
Same author

Cost-effectiveness analysis of an ambulance service-operated specialised cardiac vehicle with mobile extracorporeal cardiopulmonary resuscitation capacity for out-of-hospital cardiac arrests in Queensland, Australia.

Emergency medicine Australasia : EMA·2024
Same author

A cohort profile of children and adolescents who had a suicide-related contact with police or paramedics in Queensland (Australia).

Emergency medicine Australasia : EMA·2024

Related Experiment Video

Updated: Dec 21, 2025

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
08:13

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

6.9K

A Comparative Process Mining Analysis of Road Trauma Patient Pathways.

Robert Andrews1, Moe T Wynn1, Kirsten Vallmuur2,3

  • 1Queensland University of Technology (QUT), School of Information Systems, Brisbane 4000, Australia.

International Journal of Environmental Research and Public Health
|May 20, 2020
PubMed
Summary

Process mining in pre-hospital care reveals significant transport pathway variations. Expert-guided analysis is crucial for understanding complex patient journeys and identifying improvement areas.

Keywords:
ambulancecase studydata qualityhealthcareprocess miningvariant analysis

More Related Videos

Systems Analysis of the Neuroinflammatory and Hemodynamic Response to Traumatic Brain Injury
07:21

Systems Analysis of the Neuroinflammatory and Hemodynamic Response to Traumatic Brain Injury

Published on: May 27, 2022

3.5K
Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

24.2K

Related Experiment Videos

Last Updated: Dec 21, 2025

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
08:13

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

6.9K
Systems Analysis of the Neuroinflammatory and Hemodynamic Response to Traumatic Brain Injury
07:21

Systems Analysis of the Neuroinflammatory and Hemodynamic Response to Traumatic Brain Injury

Published on: May 27, 2022

3.5K
Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

24.2K

Area of Science:

  • Health Informatics
  • Process Mining
  • Emergency Medical Services

Background:

  • Pre-hospital care for road traffic crashes involves complex, time-critical patient journeys.
  • Analyzing these pathways is challenging due to fragmented data and diverse service providers.
  • Process mining offers a potential method for understanding and improving these critical care pathways.

Purpose of the Study:

  • To conduct a process mining case study of pre-hospital care transport pathways for road traffic crash patients in Queensland, Australia.
  • To identify challenges in data collection, linkage, and process modeling within this complex domain.
  • To evaluate the effectiveness of automated versus expert-guided process modeling and derive lessons for the field of process mining.

Main Methods:

  • A process mining case study was performed on patient journeys from roadside to definitive care.
  • Event logs were constructed from disparate emergency services and hospital data.
  • Three patient cohorts were analyzed based on hospital interaction, using variant analysis and process modeling.
  • Comparative performance analysis of transport segments based on hospital remoteness was conducted.

Main Results:

  • High levels of process variance were observed across all patient cohorts.
  • Automated process modeling generated unreadable 'spaghetti' models for complex cohorts.
  • Expert-guided editing resulted in readable models with acceptable fitness for analysis.
  • Process improvement opportunities were primarily identified by domain experts, not directly by the tools.

Conclusions:

  • Automated process mining algorithms struggle to produce readable models in complex domains like pre-hospital care.
  • Expert-guided model refinement is essential for achieving acceptable quality and interpretability.
  • Process mining tools need to become more prescriptive in automatically deriving improvement opportunities.