פרופ' אופיר בן אסולי

פרופ' אופיר בן אסולי

סגן דיקן למחקר, הפקולטה למנהל עסקים. מרצה וחוקר בכריית נתונים.

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אודות

אופיר הוא סגן דיקן למחקר, פרופסור-חבר בפקולטה למנהל עסקים בקריה האקדמית אונו.

חוקר בכיר בתחומי ביו-אינפורמטיקה, קבלת החלטות, בינה מלאכותית, מערכות מידע ומדיניות בריאות לצד הטכנולוגיה; כריית נתונים בניהול ותפעול טכנולוגיות.

משמש כיושב ראש האיגוד הישראלי לטכנולוגיות ומערכות מידע ILAIS (Israel Association For Inform​ation System).

פרסם במגזינים מהשורה הראשונה בניהול ובביו-אינפורמטיקה, ביניהם:

MIS Quarterly, European Journal of Information Systems, Decision Sciences, Decision Support Systems, International Journal of Medical Informatics, Health Policy, Journal of Biomedical Informatics, BMC Medical Informatics and Decision Making and the Journal of Medical Systems.

משמש כעורך חבר במגזין Health Policy and Technology Journal וארגן כנסים מרכזיים במערכות מידע ובמערכות מידע רפואיות.

זכה במענקי מחקר מהתעשייה ומהאקדמיה, חלקם מה-(U.S.- Israel Binational Science Foundation (BSF, מה- (German-Israeli Foundation (GIF ומהמכון הלאומי לחקר שירותי הבריאות ומדיניות הבריאות, משרד הבריאות – קרן המדען הראשי בין השאר.

זכה במספר רב של פרסים על הישיגיו המחקריים כולל המאמר הטוב ביותר לשנה במגזין  Decision Sciences.

משרד הבריאות – קרן המדען הראשי.

בעבר מפתח מערכות מידע אינטרנטיות בחברת MLL, כלכלן בצוות מחקר ומידע של כנסת ישראל ועבודה במגוון תפקידים טכנולוגיים בחברת תקשורת מחשבים – Rad-Binat.

השכלה

.Ph.D

במ"מ רפואיות וקבלת החלטות, אוניברסיטת תל אביב (2011).

M.B.A.

במנהל עסקים, האוניברסיטה העברית (2005) (בהצטיינות).

.B.A

בכלכלה ומדעי המחשב, אוניברסיטת בן גוריון (2002) (הצטיינות).

תחומי הוראה

מתמטיקה למנהל עסקים, ניהול בסיסי נתונים, מערכות תומכות החלטה, קבלת החלטות ויישומן במערכות מידע ומדיניות מערכות מידע, כריית נתונים, בינה מלאכותית.

תחומי מחקר

כריית נתונים, בינה מלאכותית, ביו-אינפורמטיקה, יישומי כריית נתונים בעולם הבריאות, אקונומטריקה ושיטות חיזוי, Health Analytics, Data Mining , כלכלת בריאות, קבלת החלטות רפואיות, מדיניות מערכות מידע וערך מידע בתהליכי קבלת החלטות.

פרסומים נבחרים

Ben-Assuli, O., Heart, T., Klempfner, R., Padman, R., (2023, Accepted), Human-Machine Collaboration for Feature Selection and Integration to Improve Congestive Heart Failure Risk Prediction, Decision Support Systems, vol. 172, paper 113982, pp. 1-12
Ben-Assuli, O., Ramon-Gonen, R., Heart, T., Jacobi, R., Klempfner, R., (2023, Accepted), Utilizing Shared Frailty with the Cox Proportional Hazards Regression: Post Discharge Survival Analysis of CHF Patients, Journal of Biomedical Informatics, vol. 140, paper 104340, pp. 1-14
Ben-Assuli, O., Arazy O., Kumar, N., Shabtai, I., (2023), Too Much Information? The Use of Extraneous Information to Support Decision Making in Emergency Settings, Decision Sciences, pp. 1-19
Gefen, D., Ben-Assuli, O., Denekamp, Y., (2023), Adaptive Structuration Theory: A Health Information Exchange (HIE) Usage Study, Information Systems Management, pp. 1-16
Ben-Assuli, O., Bar, O., Geva, G., Siri, S., Tzur, D., Almoznino, G., (2023), Body Mass Index and Caries: Machine Learning and Statistical Analytics of the Dental, Oral, Medical Epidemiological (DOME) Nationwide Big Data Study, Metabolites, vol. 13, issue 37, pp. 1-16
Ben-Assuli, O., Vest. J., (2022), Return Visits to the Emergency Department: An analysis Using Group Based Curve Models, Health Informatics Journal, vol. 28, Issue 2, pp. 1-11
Ben-Assuli, O., (2022), Measuring the Cost-Effectiveness of using Telehealth for Diabetes Management: a Narrative Review of Methods and Findings, International Journal of Medical Informatics, vol. 163, paper 104764, pp. 1-11
Ben-Assuli, O., Jacobi, A., Goldman, O., Shenhar-Tsarfaty, S., Rogowski, O., Zeltser, D., Shapira, I., Berliner, S., Zelber-Sagi, S., (2022), Stratifying Individuals into Non-Alcoholic Fatty Liver Disease Risk Levels using Time Series Machine Learning Models, Journal of Biomedical Informatics, vol. 126, paper 103986
Ramon-Gonen, R., Heart, T., Ben-Assuli, O., Shlomo, N., Klempfner, R. (2022), Disease Evolution and Risk-Based Disease Trajectories in Congestive Heart Failure Patients, accepted for publication, Journal of Biomedical Informatics, vol. 125, paper 103949
Vest JR., Kasthurirathne SN., Ge W., Gutta J., Ben-Assuli O., Halverson PK. , (2022), Choice of measurement approach for area-level social determinants of health and risk prediction model performance. Informatics for Health and Social Care, vol. 47, Issue 3, pp. 80–91
Ben-Assuli, O., (2021), Review of Prediction Analytics Studies on Readmission for the Chronic Conditions of CHF and COPD: Utilizing the PRISMA method, Information Systems Management, vol. 38, Issue 3, pp. 250-266
Lederman, R., Ben-Assuli, O., Vo, T.H., (2021), The role of the Internet of Things in Supporting Clinicians and Patients: A Narrative Review Health Policy and Technology, Health Policy and Technology, vol. 10, Issue 3, 100552
Bulmash, B., Amar, M., Ben-Assuli, O., Caspi, O., (2021), Exploring the Combined Effects of Social Media Use and Medical Skepticism Tendency on recourse to Complementary and Alternative Medicine, Journal of Alternative and Complementary Medicine, vol. 27, Issue 8, pp. 710-712
Ben-Assuli, O., Heart, T., Vest. J., Ramon-Gonen, R., Shlomo, N., Klempfner, R., (2021), Profiling Readmissions Using Hidden Markov Model - the Case of Congestive Heart Failure, Information Systems Management, vol. 38, Issue 3, pp. 237-249
Goldman, O., Ben-Assuli, O., Rogowski, O., Zeltser, D., Shapira, I., Berliner, S., Zelber-Sagi, S., Shenhar-Tsarfaty, S., (2021), Non-alcoholic Fatty Liver and Liver Fibrosis Predictive Analytics: Risk Prediction and Machine Learning Techniques for Improved Preventive Medicine, Journal of Medical Systems, vol. 45, paper 22
Ben-Assuli, O., Padman, R., (2020), Trajectories of Repeated Readmissions of Chronic Disease Patients: Risk Stratification, Profiling, and Prediction, MIS Quarterly, vol. 44, pp. 201-226
Ben-Assuli, O., Vest. J., (2020), Data Mining Techniques Utilizing Latent Class Models to Evaluate Emergency Department Revisits, Journal of Biomedical Informatics, vol. 101, paper 103341
Berger, R., Bulmash, B., Drori, N., Ben-Assuli, O., Herstein, R., (2020), The patient–physician relationship: An account of the physician’s perspective, Israel Journal of Health Policy Research, vol. 9, Issue 33
Bulmash., B., Ben-Assuli., O., Amar., M., (2020), Fear of hospital-acquired infections: The combined impact of patient's hygiene sensitivity and perceived staff preventive behavior, Journal of Community Health, vol. 45, pp. 1211-1219
Gefen, D., Ben-Assuli, O., Stehr, M., Rosen, ,B., Denekamp, Y., (2020), Governmental Intervention in Hospital Information Exchange (HIE) Diffusion: A Time-series Analysis Using the Bass Model, European Journal of Information Systems, , vol. 28, Issue 6, pp. 627-645
Ben-Assuli, O., Kumar, N., Arazy O., Shabtai, I., (2020), The Use of Analytic Hierarchy Process for Measuring the Complexity of Medical Diagnosis, Health Informatics Journal, Vol. 26, Issue. 1, pp. 218-232
Ben-Assuli, O., Padman, R., Shabtai, I., (2020), Exploring Trajectories of Emergency Department Visits using a Laboratory-based Indicator of Serious Illness, Health Informatics Journal, Vol. 26, Issue 1, pp. 205-217
Gefen, D., Ben-Assuli, O., Shlomo, N., Robertson, N., Klempfner, R., (2019), A Case Study of Applying Text Analysis to Identify Possible Adverse Drug Interactions: The Case of Adalat (Nifedipine), Health Informatics Journal, vol. 26, Issue. 2, pp. 1455-1464
Vest, R.J., Ben-Assuli, O., (2019), Prediction of emergency department revisits using area-level social determinants of health measures and health information exchange information, International Journal of Medical Informatics, vol. 129, pp. 205-210
Ben-Assuli, O., Heart, T., Shlomo, N., Klempfner, R., (2019), Bringing Big Data Analytics Closer to Practice: a Methodological Explanation and Demonstration of Classification Algorithms, Health Policy and Technology, vol. 8, Issue 1, pp. 7-13
Zelber-Sagi, S., Tzur, R., Thurm, T., Goldstein, A., Shibolet, O., Ben-Assuli, O., Chodick, G., (2019), Low Serum Vitamin D is Independently Associated with Unexplained Elevated ALT Only Among Non-Obese Men in The General Population, Annals of Hepatology, vol.18 Issue 4, pp. 578-284
Flaumenhaft, Y., AND Ben-Assuli, O., 2018, Personal Health Records, Global Policy and Regulation Review, Health Policy, vol. 122, pp. 815-826
Ben-Assuli, O., AND Padman, R., 2018, Analyzing Repeated Hospital Readmissions using Data Mining Techniques, Health Systems, vol. 7, Issue 2, pp. 120-134
Revels, S., Kumar, S., Ben-Assuli, O., 2017, Predicting Obesity Rate and Obesity-Related Healthcare Costs using Data Analytics, Health Policy and Technology, vol. 6, Issue 2, pp. 198-207
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
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
Ben-Assuli, O., AND Leshno, M., 2016, Assessing Electronic Health Record Systems in Emergency Departments: Using a Decision Analytic Bayesian Model, Health Informatics Journal, vol. 22, Issue 3, pp. 712-729
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
Yair-Sabag. S., Nussinson, E., Ben-Assuli, O., Shibli, F., Azmi Shahbari, A., Zelber-Sagi, S., (2016), Retrospective study of the associations between hepatitis C infection and metabolic factors, World Journal of Hepatology, vol. 8, Issue 30, pp. 1269-1278
Zelber-Sagi, S., Ben-Assuli, O., Rabinowich, L., Green, M., Goldstein, A., Magid, A., Shalev, V., Shibolet, O., Chodick, G., 2016, Response to the Relationship Between Serum Uric Acid Levels and NAFLD, Liver International, vol. 36, Issue 5, pp. 769-770
Lederman, R., Ben-Assuli, O. 2016, Editorial notes on E-Health Adoption and Implementation, International Journal of Networking and Virtual Organisation vol. 16, Issue 2, pp. 121-123
Shabtai, I., Ben-Assuli, O. AND Leshno, M., 2016, The Connection Between Viewing Medical Historical Information and Using Clinical Tests, International Journal of Networking and Virtual Organisation vol. 16, Issue 2, pp. 157-170
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
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
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
Zelber-Sagi, S., Ben-Assuli, O., Rabinowich, L., Green, M., Goldstein, A., Magid, A., Shalev, V., Shibolet, O., Chodick, G., 2015, The Association between Serum Levels of Uric-Acid and Alanine Aminotransferase in a Population-Based Cohort, Liver International, vol. 35, Issue 11, pp. 2408-2415
Grossman, A., Ben-Assuli, O., Zelber-Sagi, S., Golbert, R., Matalon, A.,Yeshua, H., 2015, The Management of Pre-Hypertension in Primary Care - Is It Adequate? , Blood Pressure, vol. 24, Issue 4, pp. 237-241
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
Ben-Assuli, O. and Leshno, M. 2013 Using Electronic Medical Records in Admission Decisions: A Cost Effectiveness Analysis. Decision Sciences – 44(3) – 463-481
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 – 13(49)
Ben-Assuli, O., Shabtai, I., and Leshno, M. 2013 The Influence of EHR Components on Admission Decisions. Health and Technology – 3(1) – 29-35
Endevelt, R., Ben-Assuli, O.*, Klain, E., Zelber Sagi, S. 2013 The role of dietitian follow-up in the success of bariatric surgery. Surgery for Obesity and Related Diseases - 9(6) - 963-968
Ben-Assuli, O. 2014 Implementing combined decision models in healthcare settings: the Simon and Pauker-Kassirer models. Journal of Hospital Administration – 3(2) - 10-18
Ben-Assuli, O., Shabtai, I., and Leshno, M. 2013 The Contribution of Medical Systems to Admission Decisions in Emergency Rooms. Harefuah - The Israel Medical Association Journal-– 152(11) – 684-685
Ben-Assuli, O. and Leshno, M. 2013 Implementing a Monte-Carlo Simulation on Admission Decisions. Journal of Enterprise Information Management – 26(1) – 154-164
Ben-Assuli, O. 2012 Assessing the Perception of Information Components in Financial Decision Support Systems. Decision Support Systems – 54(1) – 795-802
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 – 36(6) – 3795-3803
Ben-Assuli, O. and Leshno, M. 2012 Efficient Use of Medical IS: Diagnosing Chest Pain. Journal of Enterprise Information Management – 25(4) – 413-423

קורות חיים

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