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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Current Trends in Nursing II01:30

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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
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Ethical Concerns in Healthcare:

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Designing for Trust: Exploring User Perceptions of AI Transparency in Healthcare.

Inês E Amaro1,2, Mina Bjelogrlic1,2, Julie Guebey1,2

  • 1Division of Medical Information Sciences, Geneva University Hospitals, Geneva, Switzerland.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

This study explores healthcare stakeholder views on artificial intelligence (AI) transparency. Findings reveal diverse interpretations beyond technical definitions, emphasizing user-centered perspectives for ethical AI development.

Keywords:
Healthcare AITransparencyUser-centered design

Related Experiment Videos

Area of Science:

  • Artificial Intelligence Ethics
  • Human-Computer Interaction in Healthcare
  • Participatory Design

Background:

  • Transparency is a critical ethical principle for artificial intelligence (AI), but its definition is often ambiguous.
  • Current definitions of AI transparency frequently stem from technical or regulatory viewpoints.
  • Understanding diverse stakeholder interpretations is crucial for developing ethically sound AI systems in healthcare.

Purpose of the Study:

  • To investigate how various healthcare stakeholders perceive and interpret the transparency of AI systems.
  • To adopt a user-centered, participatory design approach to explore AI transparency.
  • To gather initial insights from a diverse group of healthcare stakeholders.

Main Methods:

  • Conducted a preliminary questionnaire with 29 participants.
  • Organized four participatory focus groups.
  • Involved healthcare professionals, students, patient partners, and caregivers.

Main Results:

  • Preliminary findings indicate varied interpretations of AI transparency among different healthcare stakeholders.
  • The study highlights the need to move beyond purely technical or regulatory definitions.
  • User-centered perspectives are essential for understanding AI transparency in practice.

Conclusions:

  • Healthcare stakeholders possess diverse understandings of AI transparency.
  • A user-centered, participatory approach is vital for defining and implementing AI transparency effectively.
  • Future research will build on these initial findings to refine AI transparency frameworks.