Tag / clinical ethics
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Ethics Dispatch August 2025
Nurses and frontline staff bear the brunt of a growing wave of hostility, facing risks that extend far beyond the usual emotional toll of caregiving. In this Ethics Dispatch, the Center for Practical Bioethics analyzes competing values that govern providers’ response to violence, as well as institutional responsibilities and Ryan shares a personal story about his response to an aggressive family member.
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Case Study – Doctor-Patient Relationships: When Is It Ethically Acceptable to End Them?
Bioethics case study on doctor-patient relationships in VIDEO and PRINT. This case study in clinical ethics discusses when it is acceptable to end a doctor-patient relationship. Published by the Center for Practical Bioethics.
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Case Study – Distributive Justice: A Challenge for Clinical Ethics
Bioethics case study on distributive justice in VIDEO and PRINT. This case study in clinical ethics challenges several concepts within the idea of justice. Should this patient receive an equal share? Or receive according to his need? How do we ensure we treat this patient fairly?
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Case Study – Immigrant Caregiver Mother Fears Visit to Hospital
Bioethics case study in which Eve’s mother, Gloria, is her primary caregiver and sole means of transportation to medical appointments. An immigrant from a foreign country, Gloria has been hesitant to accompany her daughter to the hospital. Fearing potential issues with the U.S. Immigration and Customs Enforcement (ICE), Gloria is afraid to visit the hospital, which in turn prevents her from driving Eve to her chemotherapy appointments.
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Will Your Healthcare Organization Be Ready? Ethics Services Partnerships Offer Clarity
Read about two hospitals partnering for different clinical ethics services. Partnership with the Center offers clarity. We provide real-time consultation, long-term support, and guidance that helps hospitals respond to uncertainty with confidence – while upholding the highest ethical standards in care.
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Case Studies: AI in Healthcare
Recognizing and understanding the risks of AI in healthcare can be hard. These case studies of AI in healthcare highlight the difficulties in implementing the algorithms.