Search Results - Mecit Can Emre Simsekler

Adoption of a Data‐Driven Bayesian Belief Network Investigating Organizational Factors that Influence Patient Safety by Simsekler, Mecit Can Emre, Qazi, Abroon

“…Medical errors pose high risks to patients. Several organizational factors may impact the high rate of medical errors in complex and dynamic healthcare…”
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Exploring Drivers of Staff Engagement in Healthcare Organizations Using Tree-Based Machine Learning Algorithms by Al-Nammari, Ragheb, Simsekler, Mecit Can Emre, Gabor, Adriana Felicia, Qazi, Abroon

“…Staff engagement in the work environment is vital to organizational success. Engaged staff are motivated and indulged in their work as they have a sense of…”
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Prioritizing Multidimensional Interdependent Factors Influencing COVID‐19 Risk by Qazi, Abroon, Simsekler, Mecit Can Emre, Gaudenzi, Barbara

“…COVID‐19 has significantly affected various industries and domains worldwide. Since such pandemics are considered as rare events, risks associated with…”
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The link between healthcare risk identification and patient safety culture by Simsekler, Mecit Can Emre

“…Purpose Risk identification plays a key role identifying patient safety risks. As previous research on risk identification practices, as applied to patient…”
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Risk assessment of construction projects using Monte Carlo simulation by Qazi, Abroon, Simsekler, Mecit Can Emre

“…PurposeThis paper aims to develop a process for prioritizing project risks that integrates the decision-maker's risk attitude, uncertainty about risks both in…”
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Quality assessment of enterprise risk management programs by Qazi, Abroon, Simsekler, Mecit Can Emre

“…Enterprise risk management (ERM) is an important process for organizations to manage risks and identify opportunities in a holistic manner. Earlier studies…”
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Worst Expected Best method for assessment of probabilistic network expected value at risk: application in supply chain risk management by Qazi, Abroon, Simsekler, Mecit Can Emre

“…PurposeThe purpose of this paper is to develop and operationalize a process for prioritizing supply chain risks that is capable of capturing the value at risk…”
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Application of Artificial Intelligence in the Health Care Safety Context: Opportunities and Challenges by Ellahham, Samer, Ellahham, Nour, Simsekler, Mecit Can Emre

“…There is a growing awareness that artificial intelligence (AI) has been used in the analysis of complicated and big data to provide outputs without human input…”
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Ensuring protocol compliance and data transparency in clinical trials using Blockchain smart contracts by Omar, Ilhaam A., Jayaraman, Raja, Salah, Khaled, Simsekler, Mecit Can Emre, Yaqoob, Ibrar, Ellahham, Samer

“…Background Clinical Trials (CTs) help in testing and validating the safety and efficacy of newly discovered drugs on specific patient population cohorts…”
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The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions by Alkhanbouli, Razan, Matar Abdulla Almadhaani, Hour, Alhosani, Farah, Simsekler, Mecit Can Emre

“…Explainable Artificial Intelligence (XAI) enhances transparency and interpretability in AI models, which is crucial for trust and accountability in healthcare…”
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The integration of mHealth technologies in telemedicine during the COVID-19 era: A cross-sectional study by Taha, Abdul Rahman, Shehadeh, Mustafa, Alshehhi, Ali, Altamimi, Tariq, Housser, Emma, Simsekler, Mecit Can Emre, Alfalasi, Buthaina, Al Memari, Shammah, Al Hosani, Farida, Al Zaabi, Yousif, Almazroui, Shereena, Alhashemi, Hamed, Alhajri, Noora

“…Telemedicine is a rapidly expanding field of medicine and an alternative method for delivering quality medical care to patients’ fingertips. With the COVID-19…”
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Evaluating the Impact of Patient No-Shows on Service Quality by Marbouh, Dounia, Khaleel, Iman, Al Shanqiti, Khawla, Al Tamimi, Maryam, Simsekler, Mecit Can Emre, Ellahham, Samer, Alibazoglu, Deniz, Alibazoglu, Haluk

“…Patient no-shows are long-standing issues affecting resource utilization and posing risks to the quality of healthcare services. They also lead to loss of…”
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Impact assessment of country risk on logistics performance using a Bayesian Belief Network model by Qazi, Abroon, Simsekler, Mecit Can Emre, Formaneck, Steven

“…PurposeThis paper aims to assess the impact of different drivers of country risk, including business environment, corruption, economic, environmental,…”
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Evaluating patient experience in maternity services using a Bayesian belief network model by Munassar, Abrar Abdulhakim Ahmed, Simsekler, Mecit Can Emre, Saad, Ahmed Alaaeldin, Qazi, Abroon, Omar, Mohammed A.

“…Pregnancy and childbirth are commonly seen as positive experiences, but they can also pose distinct challenges and risks, especially when care is insufficient…”
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Exploring the risks of automation bias in healthcare artificial intelligence applications: A Bowtie analysis by Abdelwanis, Moustafa, Alarafati, Hamdan Khalaf, Tammam, Maram Muhanad Saleh, Simsekler, Mecit Can Emre

“…This study conducts an in-depth review and Bowtie analysis of automation bias in AI-driven Clinical Decision Support Systems (CDSSs) within healthcare…”
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Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda by Al-Absi, Dima Tareq, Simsekler, Mecit Can Emre, Omar, Mohammed Atif, Anwar, Siddiq

“…This study reviews the studies utilizing Artificial Intelligence (AI) and AI-driven tools and methods in managing Acute Kidney Injury (AKI). It categorizes the…”
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Evaluating Drivers of the Patient Experience Triangle: Stress, Anxiety, and Frustration by Almaazmi, Sumaya, Simsekler, Mecit Can Emre, Henschel, Andreas, Qazi, Abroon, Marbouh, Dounia, Luqman, Rana Adel Mahmoud Ali

“…Patient experience is a widely used indicator for assessing the quality-of-care process during a patient’s journey in hospital. However, the literature rarely…”
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A critical review of implementing lean and simulation to improve resource utilization and patient experience in outpatient clinics by Al-Kaf, Abdulqader, Jayaraman, Raja, Demirli, Kudret, Simsekler, Mecit Can Emre, Ghalib, Hussam, Quraini, Dima, Tuzcu, Murat

“…PurposeThe purpose of this paper is to explore and critically review the existing literature on applications of Lean Methodology (LM) and Discrete-Event…”
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Predicting Hospital No-Shows: Interpretable Machine Learning Models Approach by Toffaha, Khaled M., Simsekler, Mecit Can Emre, Alshehhi, Aamna, Atif Omar, Mohammed

“…Healthcare systems face significant challenges and financial burdens due to patient no-shows, highlighting the need for accurate and interpretable predictive…”
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A Knowledge-Based Probabilistic Framework for Enhancing Reliability in Healthcare Appointment Scheduling by Toffaha, Khaled, Can Emre Simsekler, Mecit, Sleptchenko, Andrei, Kortt, Michael A., Atif Omar, Mohammed

“…Missed appointments in outpatient healthcare settings continue to be a widespread operational and clinical challenge, resulting in inefficiencies, disrupting…”
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