Suchergebnisse - "Simsekler, Mecit Can Emre"

Optimizing Strategies for Managing Difficult Intravenous Access.

Autoren: Saad, Ahmed Alaaeldin Simsekler, Mecit Can Emre Ahmed, Sundos et al.

Quelle: Risk Management & Healthcare Policy; Apr2025, Vol. 18, p1147-1157, 11p

Schlagwörter: PATIENT experience, INTENSIVE care nursing, ELECTRONIC health records, PATIENTS' attitudes, ANATOMICAL variation

The Role of Artificial Intelligence in Managing Central Line-Associated Bloodstream Infection (CLABSI) for Patient Safety and Quality of Care.

Autoren: Saad, Ahmed Alaaeldin Hassan, Abduraouf Alali, Ahmad et al.

Quelle: Risk Management & Healthcare Policy; Sep2025, Vol. 18, p2887-2898, 12p

Schlagwörter: ARTIFICIAL intelligence, CENTRAL line-associated bloodstream infections, HEALTH care industry, INFECTION prevention, RISK management in business, PATIENT safety, HOSPITAL care quality, MEDICAL care

Streamlining Patient Fall Prevention and Management Through Human-Centered AI-Based Decision Support Systems.

Autoren: Rahmadani, Firda Alshamsi, Fatima Y Almazrouei, Balqees et al.

Quelle: Risk Management & Healthcare Policy; Sep2025, Vol. 18, p3051-3062, 12p

Schlagwörter: PATIENT safety, ACCIDENTAL fall prevention, DECISION support systems, WEARABLE technology, SYSTEMS theory, RISK assessment, ARTIFICIAL intelligence

AI-Driven Decision Support Framework for Preventing Medical Equipment Failure and Enhancing Patient Safety: A New Perspective.

Autoren: Alkhatib, Sara Awni Katmah, Rateb Kosaji, Doua et al.

Quelle: Journal of Multidisciplinary Healthcare; Oct2025, Vol. 18, p6299-6313, 15p

The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions.

Autoren: Alkhanbouli, Razan Matar Abdulla Almadhaani, Hour Alhosani, Farah et al.

Quelle: BMC Medical Informatics & Decision Making; 3/4/2025, Vol. 25 Issue 1, p1-17, 17p

Schlagwörter: ARTIFICIAL intelligence, DECISION support systems, MACHINE learning, TRUST, PATIENT safety

Barriers Preventing Medical Trainees from Active Participation in Research Activities.

Autoren: Absi, Dima Tareq Al Yousuf, Khadija Aljaberi, Kholoud et al.

Quelle: Journal of Multidisciplinary Healthcare; Apr2024, Vol. 17, p1513-1522, 10p

Schlagwörter: PARTICIPATION, PSEUDOPOTENTIAL method

Geografische Kategorien: ABU Dhabi (United Arab Emirates)

Optimizing Emergency Department Operations: A Simulation Framework for Managerial Decision‐Making.

Autoren: Ouda, Eman Sleptchenko, Andrei Simsekler, Mecit Can Emre et al.

Quelle: Journal of Nursing Management; 9/18/2025, Vol. 2025, p1-14, 14p

A Machine Learning and Bayesian Belief Network Approach to Predicting Cervical Cancer Risk: Implications for Risk Management.

Autoren: Toffaha, Khaled Simsekler, Mecit Can Emre Sleptchenko, Andrei et al.

Quelle: Journal of Multidisciplinary Healthcare; Aug2025, Vol. 18, p5199-5211, 13p

Schlagwörter: CERVICAL cancer, MACHINE learning, DATA science, BAYESIAN analysis, INDIVIDUALIZED medicine, CLINICAL decision support systems, MEDICAL technology, RISK assessment

Impact of specialized renal technologists on optimizing delivery of continuous kidney replacement therapy in critical care areas a retrospective study.

Autoren: Khater, Noha Abou Sadeq, Ahmed Adel Al Absi, Dima Tareq et al.

Quelle: Hemodialysis International; Jul2024, Vol. 28 Issue 3, p304-312, 9p

Schlagwörter: RENAL replacement therapy, CRITICAL care nurses, CRITICAL care medicine, INTENSIVE care units, TECHNOLOGISTS, MEDICAL technologists, RADIOLOGIC technologists

Geografische Kategorien: UNITED Arab Emirates

Exploring temporal dependencies among country-level logistics performance indicators.

Autoren: Qazi, Abroon Al-Mhdawi, M.K.S. Simsekler, Mecit Can Emre

Quelle: Benchmarking: An International Journal; 2025, Vol. 32 Issue 5, p1825-1856, 32p

Schlagwörter: BAYESIAN analysis, INFRASTRUCTURE (Economics), QUALITY of service, COMMUNICATION infrastructure, RESEARCH personnel

Firma/Körperschaft: WORLD Bank

Evaluation of point-of-care ultrasound training among healthcare providers: a pilot study.

Autoren: Al-Absi, Dima Tareq Simsekler, Mecit Can Emre Omar, Mohammed Atif et al.

Quelle: Ultrasound Journal; 2/21/2024, Vol. 16 Issue 1, p1-10, 10p

Evaluating patient experience in maternity services using a Bayesian belief network model.

Autoren: Munassar, Abrar Abdulhakim Ahmed Simsekler, Mecit Can Emre Saad, Ahmed Alaaeldin et al.

Quelle: PLoS ONE; 2/20/2025, Vol. 20 Issue 2, p1-21, 21p

Schlagwörter: PATIENT experience, MATERNAL health services, BAYESIAN analysis, PATIENTS' attitudes, STRUCTURAL models

Assessing the impact of sustainability risks on disaster and pandemic vulnerabilities: A global perspective.

Autoren: Qazi, Abroon Angell, Linda C. Simsekler, Mecit Can Emre et al.

Quelle: Global Transitions; 2025, Vol. 7, p159-174, 16p

Schlagwörter: SUSTAINABLE development, BAYESIAN analysis, PSYCHOLOGICAL vulnerability, SUSTAINABILITY, DISASTER resilience, RISK assessment, EMERGENCY management

Reviews & Products: SUSTAINABLE Development Goals (United Nations)

Impact assessment of country risk on logistics performance using a Bayesian Belief Network model.

Autoren: Qazi, Abroon Simsekler, Mecit Can Emre Formaneck, Steven

Quelle: Kybernetes; 2023, Vol. 52 Issue 5, p1620-1642, 23p

Schlagwörter: BAYESIAN analysis, RISK assessment, DISEASE risk factors, LOGISTICS, POLITICAL corruption

Firma/Körperschaft: WORLD Bank Group, A.M. Best Co. Inc.

Healthcare 4.0 digital technologies impact on quality of care: a systematic literature review.

Autoren: Marbouh, Dounia Swarnakar, Vikas Simsekler, Mecit Can Emre et al.

Quelle: Total Quality Management & Business Excellence; Dec2023, Vol. 34 Issue 15/16, p2157-2182, 26p

Schlagwörter: DIGITAL health, DIGITAL technology, INFORMATION & communication technologies, APPROPRIATE technology, PATIENT experience

Geografische Kategorien: NORTH America

A data-driven Bayesian belief network model for exploring patient experience drivers in healthcare sector.

Autoren: Al Nuairi, Arwa Simsekler, Mecit Can Emre Qazi, Abroon et al.

Quelle: Annals of Operations Research; Nov2024, Vol. 342 Issue 3, p1797-1817, 21p

Schlagwörter: PATIENT experience, MACHINE learning, PATIENTS' attitudes, BAYESIAN analysis, TRUST

Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda.

Autoren: Al-Absi, Dima Tareq Simsekler, Mecit Can Emre Omar, Mohammed Atif et al.

Quelle: BMC Medical Informatics & Decision Making; 11/14/2024, Vol. 24 Issue 1, p1-20, 20p

Schlagwörter: RESOURCE-limited settings, ACUTE kidney failure, ARTIFICIAL intelligence, MACHINE learning, INTENSIVE care units

Evaluating Drivers of the Patient Experience Triangle: Stress, Anxiety, and Frustration.

Autoren: Almaazmi, Sumaya Simsekler, Mecit Can Emre Henschel, Andreas et al.

Quelle: International Journal of Environmental Research & Public Health; Apr2023, Vol. 20 Issue 7, p5384, 13p

A Systematic Literature Review of Safety Culture in Hemodialysis Settings.

Autoren: Albreiki, Salma Alqaryuti, Alaa Alameri, Tareq et al.

Quelle: Journal of Multidisciplinary Healthcare; Apr2023, Vol. 16, p1011-1022, 12p

Schlagwörter: HOSPITAL surveys, HEMODIALYSIS, ROOT cause analysis, HOME hemodialysis, PATIENT safety, TRUST

Evaluation of System Modelling Techniques for Waste Identification in Lean Healthcare Applications.

Autoren: Alkaabi, Maitha Simsekler, Mecit Can Emre Jayaraman, Raja et al.

Quelle: Risk Management & Healthcare Policy; Jan2021, Vol. 14, p3235-3243, 9p

Schlagwörter: VALUE stream mapping, IDENTIFICATION, FLOW charts, MEDICAL care

Geografische Kategorien: ABU Dhabi (United Arab Emirates)

Firma/Körperschaft: CLEVELAND Clinic Foundation