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When Patients Say No: Rethinking Refusal in Bedside Medical Education
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ABSTRACT<sec> <title>Background

Bedside clinical teaching is a fundamental part of the medical education that offers invaluable opportunities for the students to build and improve their clinical and communication skills. However, there is a growing concern about the increasing refusal of patients to participate in clinical sessions, especially in certain settings where there are sensitive cultural traditions and decreased trust in institutions.

Aim

This paper discusses patient refusal during bedside clinical teaching and views it from three aspects, that of the medical student, the clinical educator and the patient, and proposes culturally sensitive strategies that balance patient autonomy with educational needs.

Perspective

Patient refusals reduce the students' chances of hands‐on learning, placing the educator under ethical strain and emotional fatigue. These refusals are not simply uncomfortable incidents, but they signal underlying systemic gaps such as lack of transparent communication with the patients, failure to adapt to the social development and deep cultural dissonance. While simulation offers partial relief, it cannot fully replace the human dimensions of real patient interactions.

Conclusion

Patients' reluctance is a meaningful message that needs to be heard. A thoughtful reform including coordinated efforts at the level of patient education, faculty support, student preparation and institutional policy is needed. Without reform, we risk graduating doctors who have never truly encountered the human side of medicine.

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Thu Jan 01 2026
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Revolutionizing Higher Education by Harnessing the Power of AI and Big Data for Sustainable Education
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The integration of Artificial Intelligence with Big Data Analytics is one of the most groundbreaking developments that could change the face of educational sustainability in higher education.. Using AI and Big Data technologies not only makes the educational process more efficient but also changes the way people learn and thus opens the door for educators and institutions to make decisions based on the data. The document imparts the manner that the use of AI and the digital revolution can remove student requirements, execute the efficiency of the curriculum, and acquire the balance of educational resources through a majority of instances and the latest developments in that field. Furthermore, the paper, along with the issues of morality wit

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Publication Date
Tue Jan 06 2009
Journal Name
مجلة ديالى للعلوم الانسانية
Synthesis and Characterization of Novel Bidentate Ligand type NO and Its Complexes with (CoII , NiII ,CuII and ZnII)
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Tue Nov 09 2021
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
Tasks Implemented by Internal Auditors when Developing and Executing Business Continuity and Recovery Plan to Face the COVID-19 crisis
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The current research aimed to identify the tasks performed by the internal auditors when developing a business continuity plan to face the COVID-19 crisis. It also aims to identify the recovery and resuming plan to the business environment. The research followed the descriptive survey to find out the views of 34 internal auditors at various functional levels in the Kingdom of Saudi Arabia. Spreadsheets (Excel) were used to analyze the data collected by a questionnaire which composed of 43 statements, covering the tasks that the internal auditors can perform to face the COVID-19 crisis. Results revealed that the tasks performed by the internal auditors when developing a business continuity plan to face the COVID-19 crisis is to en

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Publication Date
Thu Oct 31 2019
Journal Name
Journal Of Engineering And Applied Sciences
Comparison of Estimate Methods of Multiple Linear Regression Model with Auto-Correlated Errors when the Error Distributed with General Logistic
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In this research, we studied the multiple linear regression models for two variables in the presence of the autocorrelation problem for the error term observations and when the error is distributed with general logistic distribution. The auto regression model is involved in the studying and analyzing of the relationship between the variables, and through this relationship, the forecasting is completed with the variables as values. A simulation technique is used for comparison methods depending

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Publication Date
Thu Oct 31 2019
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Comparison of Estimate Methods of Multiple Linear Regression Model with Auto-Correlated Errors when the Error Distributed with General Logistic
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Wed Dec 29 2021
Journal Name
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The Skills of Intended Meaning behind the Context when Reading Poetry among Fifth Grade Students- Literary Branch from Teachers’ Perspectives
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Tue Nov 09 2021
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Publication Date
Sun Mar 01 2009
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Publication Date
Sun May 08 2022
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Publication Date
Fri Oct 19 2018
Journal Name
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The impact of creative thinking in cultural intelligence Field research on a sample of medical specialists
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