Suchergebnisse - "Mecit Can Emre Simsekler"

Adoption of a Data‐Driven Bayesian Belief Network Investigating Organizational Factors that Influence Patient Safety von 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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Evaluation of the trends in jobs and skill-sets using data analytics: a case study von Alibasic, Armin, Upadhyay, Himanshu, Simsekler, Mecit Can Emre, Kurfess, Thomas, Woon, Wei Lee, Omar, Mohammed Atif

“… Introduction Fast-emerging technologies are making the job market dynamic, causing desirable skills to evolve continuously. It is therefore important to …”
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Application of Artificial Intelligence in the Health Care Safety Context: Opportunities and Challenges von 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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Assessment of the organizational factors in incident management practices in healthcare: A tree augmented Naive Bayes model von Albreiki, Salma, Simsekler, Mecit Can Emre, Qazi, Abroon, Bouabid, Ali

“… Despite the exponential transformation occurring in the healthcare industry, operational failures pose significant challenges in the delivery of safe and …”
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The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions von 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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Prioritizing Multidimensional Interdependent Factors Influencing COVID‐19 Risk von 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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Worst Expected Best method for assessment of probabilistic network expected value at risk: application in supply chain risk management von 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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Exploring Drivers of Staff Engagement in Healthcare Organizations Using Tree-Based Machine Learning Algorithms von 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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Ensuring protocol compliance and data transparency in clinical trials using Blockchain smart contracts von 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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Risk assessment of construction projects using Monte Carlo simulation von 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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The link between healthcare risk identification and patient safety culture von 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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Impact assessment of country risk on logistics performance using a Bayesian Belief Network model von 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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Exploring the risks of automation bias in healthcare artificial intelligence applications: A Bowtie analysis von 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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Quality assessment of enterprise risk management programs von 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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The integration of mHealth technologies in telemedicine during the COVID-19 era: A cross-sectional study von 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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COVID-19, jobs and skills—Exploratory analysis of the job postings in the US and UK healthcare job market von Upadhyay, Himanshu, Simsekler, Mecit Can Emre, Maalouf, Maher, Anwar, Siddiq, Omar, Mohammed

“… The COVID-19 pandemic has significantly affected all spheres of life, including the healthcare workforce. While the COVID-19 pandemic has started driving …”
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Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda von 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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Comprehensive survival analysis of breast cancer patients: a bayesian network approach von Toffaha, Khaled, Emre Simsekler, Mecit Can, Shehhi, Aamna Al, Sleptchenko, Andrei, AlAwadhi, Aydah

“… Background Breast cancer is recognized as one of the leading causes of cancer-related deaths globally. A deeper understanding of the complex interactions …”
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Evaluating Drivers of the Patient Experience Triangle: Stress, Anxiety, and Frustration von 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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Evaluating patient experience in maternity services using a Bayesian belief network model von 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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