Yuval Bitan
  • Yuval Bitan
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Current Students

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Omer Perry
Ph.D. Student​
Decision-Making During Mass-Casualty Incidents
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Elior Mizrahi
MHA Student
The impacts of medication labels in emergency medicine kits on speed, accuracy, and scanning patterns in medication detection task
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Ariel Braverman
MHA Student
Handover of Care between Prehospital Emergency Medical Services and Emergency Department

​Alumni Students

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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
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Greg Fukakusa 
M.Sc. (2018)
​An Investigation into the Viability of Using Supplementary Visual Patterns in Labelling for the Identification of Medications
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Omer Perry 
M.Sc. (2018)
Decisions under uncertainty - Evaluating emergency services dispatchers decision making
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Tamari Levis
M.Sc. (2018)
How triage nurses think - Nurses triage decision making in the emergency department
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Ela Liberman Pincu
M.Sc. (2019)
Defining and evaluating a new methodology for medical device product design
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Oren Kramer
M.Sc. (2019)
The Impact of Data Quality on Decision-Making in Intensive Care Unit
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Yarden Levy
M.Sc. (2019)
An Impact-Driven Approach to Assess User Stories
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Abed El Hamid Fahoum 
M.Sc. (2020)
Pattern clustering to improve medication safety
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May Gellert
M.Sc. (2020)
Nurses interactions with bedside alarms in intensive care units
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Juda Nathan
M.Sc. (2020)
The Effect of User-Input Method on Throughput and Accuracy in a Binary Data Labeling Task
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Maya Kaplansky
M.Sc. (2021)
Using machine learning to arrange the information clinicians need to see on their medical devices
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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
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Simona Cohen Kadosh
Ph.D. (2021)
Emergency Medical Services preparedness for major earthquakes
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Or Lavi
MPH (2022)
The effect of personal protective gear on paramedics resuscitation
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Amit Moshe
M.Sc. (2022)
Between Compliance and Complexity: Emergency Vehicle Dispatchers’ use of an Automatic Assignment System
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Avinoam Lichtenstadt
M.Sc. (2022)
Machine Learning Model for Medication Recognition to Reduce Medication Errors in hospitals

Interested in my research?

Please email me at yuval REMOVE @bitan.net.

and follow me on Twitter - @ybitan
  • Yuval Bitan
  • Research
  • Publications
  • Students
  • Resume