Related Experiment Video
Updated: Apr 19, 2026

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
Published on: May 20, 2016
Mapping patient path in the Pediatric Emergency Department: A workflow model driven approach
Ines Ajmi1, Hayfa Zgaya2, Lotfi Gammoudi1
1LAGIS UMR CNRS 8219, Ecole Centrale de Lille, France.
Insights
Workflow modeling of the patient journey in a Pediatric Emergency Department (PED) effectively identifies overcrowding causes. Waiting times, particularly for beds, significantly delay patient flow, highlighting areas for service improvement.
Area of Science:
- Healthcare Management
- Process Optimization
- Pediatric Emergency Medicine
Background:
- Pediatric Emergency Departments (PEDs) face challenges with overcrowding.
- Accurate workflow models are crucial for understanding and improving PED processes.
- Service planning requires robust data on patient flow and treatment.
Purpose of the Study:
- To identify indicators and bottlenecks contributing to overcrowding in a PED.
- To analyze patient flow delays using real data.
- To develop a detailed workflow model for service improvement.
Main Methods:
- Constructing a workflow model of the patient journey using real data from a PED.
- Conducting accurate site visits to map PED processes.
- Analyzing patient waiting times, especially for bed requests.
Main Results:
- Waiting time from healthcare and bed request to PED exit for admission is the primary delay source (70% of waiting room time).
- Workflow modeling effectively identifies patient flow delays and areas for PED activity improvement.
- The developed model can estimate indicators for preventing overcrowding situations.
Conclusions:
- Workflow modeling is an effective approach for representing PED processes and identifying overcrowding issues.
- Addressing long waiting times, particularly for bed requests, is critical for improving patient flow.
- The model provides a basis for evidence-based PED service planning and optimization.
Abstract:
The workflow models of the patient journey in a Pediatric Emergency Department (PED) seems to be an effective approach to develop an accurate and complete representation of the PED processes. This model can drive the collection of comprehensive quantitative and qualitative service delivery and patient treatment data as an evidence base for the PED service planning. Our objective in this study is to identify crowded situation indicators and bottlenecks that contribute to over-crowding. The greatest source of delay in patient flow is the waiting time from the health care request, and especially the bed request to exit from the PED for hospital admission. It represented 70% of the time that these patients occupied in the PED waiting rooms. The use of real data to construct the workflow model of the patient path is effective in identifying sources of delay in patient flow, and aspects of the PED activity that could be improved. The development of this model was based on accurate visits made in the PED of the Regional University Hospital Center (CHRU) of Lille (France). This modeling, which has to represent most faithfully possible the reality of the PED of CHRU of Lille, is necessary. It must be detailed enough to produce an analysis allowing to identify the dysfunctions of the PED and also to propose and to estimate prevention indicators of crowded situations. Our survey is integrated into the French National Research Agency (ANR) project, titled: "Hospital: Optimization, Simulation and avoidance of strain" (HOST).
Related Concept Videos
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...
Methods of Documentation II: POMR
Flow Sheet
Here's a closer look at the examples of flowsheets commonly used by nurses:
Graphic Sheet Documentation:
Methods of Documentation VII: EMR
ER Retrieval Pathway
The ER uses many checkpoints to prevent the entry of incorrectly folded or a resident protein as cargo onto a transport vesicle. These mechanisms...
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

