Teaching cross-cultural design thinking for healthcare

Objectives: Artificial 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 stude...

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Main Authors: Mafalda Falcão Ferreira, Julia N. Savoy, Mia K. Markey
Format: Article
Language:English
Published: Elsevier 2020-04-01
Series:Breast
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0960977619312226
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spelling doaj-476070e435d045bab10c90b77a8d90742020-11-25T04:08:20ZengElsevierBreast1532-30802020-04-0150110Teaching cross-cultural design thinking for healthcareMafalda Falcão Ferreira0Julia N. Savoy1Mia K. Markey2Informatics Engineering, University of Porto, Porto, Portugal; INESC TEC - Institute for Systems and Computer Engineering, Technology, and Science, Porto, PortugalWisconsin Center for Education Research, University of Wisconsin-Madison, Madison, WI, USABiomedical Engineering, The University of Texas at Austin, Austin, TX, USA; Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Corresponding author. Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.Objectives: Artificial 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 methods: The 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. Results: The 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. Conclusion: This 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.http://www.sciencedirect.com/science/article/pii/S0960977619312226Breast cancerArtificial intelligenceCross-culturalDesignthinkingEducationUndergraduate
collection DOAJ
language English
format Article
sources DOAJ
author Mafalda Falcão Ferreira
Julia N. Savoy
Mia K. Markey
spellingShingle Mafalda Falcão Ferreira
Julia N. Savoy
Mia K. Markey
Teaching cross-cultural design thinking for healthcare
Breast
Breast cancer
Artificial intelligence
Cross-cultural
Designthinking
Education
Undergraduate
author_facet Mafalda Falcão Ferreira
Julia N. Savoy
Mia K. Markey
author_sort Mafalda Falcão Ferreira
title Teaching cross-cultural design thinking for healthcare
title_short Teaching cross-cultural design thinking for healthcare
title_full Teaching cross-cultural design thinking for healthcare
title_fullStr Teaching cross-cultural design thinking for healthcare
title_full_unstemmed Teaching cross-cultural design thinking for healthcare
title_sort teaching cross-cultural design thinking for healthcare
publisher Elsevier
series Breast
issn 1532-3080
publishDate 2020-04-01
description Objectives: Artificial 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 methods: The 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. Results: The 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. Conclusion: This 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.
topic Breast cancer
Artificial intelligence
Cross-cultural
Designthinking
Education
Undergraduate
url http://www.sciencedirect.com/science/article/pii/S0960977619312226
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