Omer Perry Ph.D. Student Decision-making during mass-casualty incidents
Elior Mizrahi MHA Student The impacts of medication labels in emergency medicine kits on speed, accuracy, and scanning patterns in medication detection task
Ariel Braverman MHA Student Handover of care between prehospital emergency medical services and emergency department
Hala Khoury MHA Student Improving medication administration
Alumni Students
Gal Hever M.Sc. (2018) Method to overcome missing data and reduce false alarms in intensive care unit monitors using random forest and multi-sensors integration
Greg Fukakusa M.Sc. (2018) An Investigation into the Viability of Using Supplementary Visual Patterns in Labelling for the Identification of Medications
Omer Perry M.Sc. (2018) Decisions under uncertainty - Evaluating emergency services dispatchers decision making
Tamari Levis M.Sc. (2018) How triage nurses think - Nurses triage decision making in the emergency department
Ela Liberman Pincu M.Sc. (2019) Defining and evaluating a new methodology for medical device product design
Oren Kramer M.Sc. (2019) The Impact of Data Quality on Decision-Making in Intensive Care Unit
Yarden Levy M.Sc. (2019) An Impact-Driven Approach to Assess User Stories
Abed El Hamid Fahoum M.Sc. (2020) Pattern clustering to improve medication safety
May Gellert M.Sc. (2020) Nurses interactions with bedside alarms in intensive care units
Juda Nathan M.Sc. (2020) The Effect of User-Input Method on Throughput and Accuracy in a Binary Data Labeling Task
Maya Kaplansky M.Sc. (2021) Using machine learning to arrange the information clinicians need to see on their medical devices
Omer Katzburg M.Sc. (2021) Increasing Trust of Intensivists in ML-Based Bacteremia Diagnosis System Through User-Interface Design: The Impact of Interactivity and Information Relevancy
Simona Cohen Kadosh Ph.D. (2021) Emergency Medical Services preparedness for major earthquakes
Or Lavi MPH (2022) The effect of personal protective gear on paramedics resuscitation
Amit Moshe M.Sc. (2022) Between Compliance and Complexity: Emergency Vehicle Dispatchers’ use of an Automatic Assignment System
Avinoam Lichtenstadt M.Sc. (2022) Machine Learning Model for Medication Recognition to Reduce Medication Errors in hospitals