ArticleBreast (Edinburgh, Scotland)2020
Teaching cross-cultural design thinking for healthcare.
Article in Breast (Edinburgh, Scotland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Convergence of disciplines: a systematic review of multidisciplinary development approaches in artificial intelligence.Frontiers in digital health · 2025Pooled it
- Present and future of machine learning in breast surgery: systematic review.The British journal of surgery · 2022Pooled it
- Use of artificial intelligence in breast surgery: a narrative review.Gland surgery · 2024Review
- Effectiveness of a service design training program to improve clinical nurses' compassion and problem-solving in Korea.PloS one · 2022Article
- Artificial intelligence (AI) in breast cancer care - Leveraging multidisciplinary skills to improve care.Breast (Edinburgh, Scotland) · 2021Article
- From Study-Abroad to Study-at-Home: Teaching Cross-Cultural Design Thinking During COVID-19.Biomedical engineering education · 2021Article
- Review
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
objectivesArtificial intelligence (AI) is poised to transform breast cancer care. However, most scientists, engineers, and clinicians are not prepared to contribute to the AI revolution in healthcare. In this paper, we describe our experiences teaching a new undergraduate course for American students that aims to prepare the next generation for cross-cultural designthinking, which we believe is crucial for AI to achieve its full potential in breast cancer care. MATERIALS AND
methodsThe key course activities are planning, conducting, and interpreting interviews of healthcare professionals from both Portugal and the United States. Since the course is offered as a short-term faculty-led study abroad program in Portugal, students are able to explore the impact of culture on healthcare delivery and the design of healthcare technologies.
resultsThe learning assessments demonstrated student growth in several areas pertinent for future development of AI for breast cancer care. With respect to understanding breast cancer care, prior to taking this course, most students had underestimated the impact of cancer and its treatment on women's quality of life and most were unaware of the importance of multidisciplinary care teams. Regarding AI in medicine, students became more mindful of data privacy issues and the need to consider the effect of AI on healthcare professionals.
conclusionThis course illustrates the potential benefits for AI in medicine of introducing future scientists, engineers, and clinicians to cross cultural design-thinking early in their educational experiences.
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