Sarah Ben Othman

A Multi-criteria Optimization Approach to Health Care Tasks Scheduling Under Resources Constraints

We are interested in this paper in studying and developing a decision support tool for multi-skill health care tasks scheduling in the Pediatric Emergency Department. We use an evolutionary algorithm and we propose the use of fuzzy logic to formulate an adapted fitness function. We consider the potential performance of the system and we set up a set of lower bounds characterizing criteria limits allowing to calculate the minimum waiting time for incoming patients and the corresponding latest ending time.

Agent-based Architecture for Task Scheduling and Dynamic Orchestration Support

Abstract: The problems at Pediatric Emergency Services (PES) are primarily related to unpredictable patient flow. Overcrowding at these services provokes considerable waiting times, and all indicators prove that reducing overcrowding is not always easily controlled. To face these problems, we suggest a mathematical formulation of the scheduling problem and an open and dynamic Multi-agent System (MAS), for managing patient care-related problems. In this chapter, we shall focus mainly on the behavior of the Scheduling Agent (SA), which belongs to this architecture. The SA makes it possible to optimize patient flows and to schedule the activity of care processes previously represented by a Workflow. The SA builds optimized schedules for medical staff in order to guarantee a controlled execution of the system, which ensures quick and qualitative care by managing the hospital’s resources. In the last section of this chapter, we will study some approaches of Workflow dynamic orchestration done by a SA in order to optimize different criteria used during Workflow execution.

Collaborative Workflow for Patient Pathway Modeling at Pediatric Emergency Services

Abstract: In this chapter we present collaborative workflow through some definitions that help us to characterize and classify the different categories. We will examine the functioning modes of Pediatric Emergency Services (PES) of the University Hospital of Lille (CHRU). Workflow for patient pathway modeling will be established at the PES. It is important to study the constraints that a PES context imposes to Workflow management models. Finally, in the last section, we will introduce the interest of multi-agent modeling for the scheduling and orchestration of the suggested Workflow. As MAS are interesting for workflow management, we will also introduce a detailed study of them.

Agents' Coalition for Collaborative Workflow Orchestration of Patient Pathway in the Pediatric Emergency Department

In healthcare systems management, control of hospital flows and anticipation of overcrowding situations are major issues. The purpose of this paper is to contribute to the scheduling and orchestration of multi-skill health care tasks to manage bottlenecks in the Pediatric Emergency Department (PED). Our solution integrates a collaborative workflow approach to model the patient journey in order to identify dysfunctions and peaks of medical staff activities within the PED. The dynamic and uncertain aspect of the problem has led us to adopt an alliance between the Multi-Agent Systems (MAS) and workflow approach for the optimization of the health care process.

Augmented reality and hospitalized newborn safety

T triage has been used worldwide in many difference scenarios including home monitoring for arrhythmia detection, post pacemaker or ICD implantation followed up and pre-hospital ECG triage by ambulance staffs; reasons for monitoring including arrhythmia detection, chest pain evaluation for possible acute heart attack. How to shorten diagnosis and treatment delay are challenging to clinical practice. Current guidelines recommend that >75% of patients with ST-elevation myocardial infarction (STEMI) receive primary percutaneous coronary intervention (PPCI) within 90 minutes. The goal has been hardly achievable. Many steps were associated with delay diagnosis and treatment from ED to cathroom. However, ECG reading adds PPCI activation is the most critical step. So we conducted a 2-year before-and-after study to determine the impact of emergency department (ED) tele-electrocardiographic (tele-ECG) triage and interventional cardiologist activation of the infarct team at door-to-balloon time (D2BT) and the proportion of patients undergoing PPCI within 90 minutes since arrival. This triage was successfully shorten D2BT and also associated better clinical outcomes in subsequent 3 years follow up. In my presentation, I will share our experience about what difficulty we face before and after implantation these strategy and possible influence to associated team members.