Current Students
|
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 |
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 |