Publications by authors named "Mohamed Chaker Khenissi"
Background: The global evolution of pre-hospital care systems faces dynamic challenges, particularly in multinational settings. Machine learning (ML) techniques enable the exploration of deeply embedded data patterns for improved patient care and resource optimisation. This study's objective was to accurately predict cases that necessitated transportation versus those that did not, using ML techniques, thereby facilitating efficient resource allocation.
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- The study investigates the time it takes for an ambulance to become ready for the next case after dispatch, focusing on differences between patients transported and those not transported.
- Data from over 93,000 emergency calls were analyzed using statistical models to understand factors affecting this response time, revealing that transported patients took longer to be ready than those not transported.
- The findings suggest that demographic variables impact readiness times and highlight the need for further research to improve ambulance service efficiency in various contexts.
Background And Aim: Though emergency medical services (EMS) respond to all types of emergency calls, they do not always result in the patient being transported to the hospital. This study aimed to explore the determinants influencing emergency call-response-based conveyance decisions in a Middle Eastern ambulance service.
Methods: This retrospective quantitative analysis of 93,712 emergency calls to the Hamad Medical Corporation Ambulance Service (HMCAS) between January 1 and May 31, 2023, obtained from the HMCAS electronic system, was analyzed to determine pertinent variables.
Objective: This research explored the experiences and perspectives of patients declining hospital transportation after receiving prehospital emergency care using advanced computational techniques.
Method: Between 15th June and 1st August 2023, 210 patients in Qatar, treated by Hamad Medical Corporation Ambulance Service (HMCAS) but refusing transportation to hospital, were interviewed. Key outcome variables stratified by demographics included "reasons for refusing transport," "satisfaction with HMCAS service," and "postrefusal actions.
Background: The increasing prevalence of comorbidities worldwide has spurred the need for time-effective pre-hospital emergency medical services (EMS). Some pre-hospital emergency calls requesting EMS result in patient non-conveyance. Decisions for non-conveyance are sometimes driven by the patient or the clinician, which may jeopardize the patients' healthcare outcomes.
View Article and Find Full Text PDFDiabetes is rising at an alarming rate, as 1 in 10 adults worldwide now lives with the disease. In Qatar, a middle eastern Arab country, diabetes prevalence is equally concerning and is predicted to increase from 17% to 24% among individuals aged 45 and 54 years by 2050. While most healthcare strategies focus on preventative and improvement of in-hospital care of patients with diabetes, a notable paucity exists concerning diabetes in the prehospital setting should ideally be provided.
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- The study focuses on the effectiveness of a "Hazardous Material Incident Management" training course for Specialized Emergency Management personnel in the Middle East, assessing their satisfaction and training needs.
- Results showed high satisfaction levels with the training, evidenced by strong reliability (Cronbach's = 0.922) and content validity (CVC = 0.952), indicating the course was well-received by participants.
- The findings highlight the importance of ongoing training for healthcare workers to prepare for HazMat-CBRN incidents, emphasizing the need for more related training topics as global threats increase.