Business-technology consultant for management and operation of technological systems; Editorial Board Associate Editor at Health Policy and Technology journal. Developed internet information systems for MLL; Worked in a variety of technological positions at the computer communications company Rad-Binat.
Has published, in well-established journals including: MIS Quarterly, Decision Sciences, Decision Support Systems, Health Policy, Journal of Biomedical Informatics, Liver International, BMC Medical Informatics and Decision Making, Health Informatics Journal and the Journal of Medical Systems.
Served as an editorial board and a committee member in many conferences including: the International Conference of Information Systems, the Annual Workshop on Information Technologies and Systems, the International Conference on Health and Social Care Information Systems and Technologies, the European Conference on Information System, the annual Conference of the Israel Chapter of the AIS, the Mediterranean Conference on Information System and the Americas Conference on Information System. He was also selected to serve as Co-Chair of Pre-ECIS 2014 Workshop on E-Health Adoption and Implementation and issues and Co-Chair of the 9th Conference of the Israel Chapter of the AIS.
Grants and Prizes:
Dr. Ben-Assuli has been awarded several international and Israeli grants for his research (for a total of ~ 800,000 NIS). He received funding from the U.S. – Israel Binational Science Foundation (BSF) and one is from German-Israeli Foundation (GIF), the National Institute for Health Policy and Health Services Research (NIHP), among others. Dr. Ben-Assuli has also been awarded several prizes.
2011: Ph.D. in medical information decision-making, Faculty of Management, Tel Aviv University.
2005: M.B.A. magna cum laude, School of Business Administration, Hebrew University of Jerusalem.
2002: B.A. magna cum laude, in economics and computer science, Ben-Gurion University of the Negev.
Mathematics for business administration; decision support systems; decision- making and implementation in information systems; and information systems policy.
Bioinformatics, economics of health, health and general decision-making, information system policy, value of information in the decision-making process and economics of information systems.
Publications (the complete list):
1.Ben-Assuli, O., Padman, R., (2019, Accepted), Trajectories of Repeated Readmissions of Chronic Disease Patients: Risk Stratification, Profiling, and Prediction, MIS Quarterly.
2.Ben-Assuli, O., Kumar, N., Arazy O., Shabtai, I., (2018, In Press), The Use of Analytic Hierarchy Process for Measuring the Complexity of Medical Diagnosis, Health Informatics Journal.
3.Ben-Assuli, O., Padman, R., Shabtai, I., (2018, In Press), Exploring Trajectories of Emergency Department Visits using a Laboratory-based Indicator of Serious Illness, Health Informatics Journal.
4.Flaumenhaft, Y., AND Ben-Assuli, O., 2018, Personal Health Records, Global Policy and Regulation Review, Health Policy, vol. 122, pp. 815-826, https://doi.org/10.1016/j.healthpol.2018.05.002.
5.Ben-Assuli, O., AND Padman, R., 2018, Analyzing Repeated Hospital Readmissions using Data Mining Techniques, Health Systems, vol. 7, Issue 2, pp. 120-134.
6. Revels, S., Kumar, S., Ben-Assuli, O., (2017), “Predicting Obesity Rate and Obesity-Related Healthcare Costs using Data Analytics Health Policy and Technology”, Health Policy and Technology, vol. 6, Issue 2, pp. 198-207,doi:10.1016/j.hlpt.2017.02.002
7. Heart. T., Ben-Assuli, O., Shabtai, I., (2017), “A review of PHR, EMR and EHR integration: A more personalized healthcare and public health policy”, Health Policy and Technology, vol. 6, Issue 1, pp. 20-25, doi:10.1016/j.hlpt.2016.08.002
8. Lederman, R., Ben-Assuli, O., (2017), “Editorial: Patient-centered health information technology: Preparing for a new era”, Health Policy and Technology, vol. 6, Issue 1, pp. 1-2. doi:10.1016/j.hlpt.2016.11.001
9. Ben-Assuli, O., Ziv. A., Sagi, D., Ironi, A., Leshno, M., (2016), “Cost-Effectiveness Evaluation of EHR: Simulation of an Abdominal Aortic Aneurysm in the Emergency Department”, Journal of Medical Systems, vol. 40, Issue 6: 141, pp. 1-13.
10. Ben-Assuli, O., AND Leshno, M., (2015), “Assessing Electronic Health Record Systems in Emergency Departments: Using a Decision Analytic Bayesian Model”,Health Informatics Journal, vol. 22, Issue 3, pp. 712-729.
11. Ben-Assuli, O., Sagi, D., Leshno, M., Ironi, A., Ziv. A., (2015), “Improving Diagnostic Accuracy Using EHR in Emergency Departments: A Simulation-Based Study”, The Journal of Biomedical Informatics, vol. 55, pp. 31-40.
12. Ben-Assuli, O., (2015), “Electronic health records, adoption, quality of care, legal and privacy issues and their implementation in emergency departments”, Health Policy, vol. 119, Issue 3, pp. 287-297.
13. Ben-Assuli, O., Shabtai, I., AND Leshno, M., (2015), “Using Electronic Health Record Systems to Optimize Admission Decisions: The Creatinine Case Study”, Health Informatics Journal, vol. 21, Issue 1, pp. 73-88.
14. Ben-Assuli, O., Shabtai, I., Leshno, M., Hill, S., (2014), “EHR in Emergency Rooms: Exploring the Effect of Key Information Components on Main Complaints”,Journal of Medical Systems, vol. 38, Issue 4, pp. 1-8.
15. Ben-Assuli, O., Leshno, M., (2013), “Using Electronic Medical Records in Admission Decisions: A Cost Effectiveness Analysis”, Decision Sciences, vol. 44, Issue 3, pp. 463 – 481 (Best Paper of the Year!).
16. Ben-Assuli, O., Shabtai, I., AND Leshno, M., (2013), “The impact of EHR and HIE on reducing avoidable admissions: controlling main differential diagnoses”, BMC Medical Informatics and Decision Making, vol. 13 (49).
17.Ben-Assuli, O. (2012), “Assessing the Perception of Information Components in Financial Decision Support Systems”, Decision Support Systems, vol. 54, Issue 1, pp. 795-802.
18. Ben-Assuli, O., Leshno, M., and Shabtai, I., (2012), “Using Electronic Medical Record Systems for Admission Decisions in Emergency Departments: Examining the Crowdedness Effect”, Journal of Medical Systems, vol. 36, Issue 6, pp. 3795-3803.