Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Prioritizing IDEA to Champion a Collaborative Educational Approach in a Stressed System
In a dynamic healthcare landscape, healthcare professionals (HCPs) must be proficient in artificial intelligence (AI). The Clinician Champions Program was created to address these AI education gaps. Over six weeks, three cohorts participated in this interprofessional program, featuring weekly assign...
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Format: | Article |
Language: | English |
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MDPI AG
2023-12-01
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Series: | Education Sciences |
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Online Access: | https://www.mdpi.com/2227-7102/14/1/39 |
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author | Bemnet Teferi Maram Omar Tharshini Jeyakumar Rebecca Charow Caitlin Gillan Jessica Jardine Jane Mattson Azra Dhalla Sedef Akinli Kocak Mohammad Salhia Bryn Davies Megan Clare Sarah Younus David Wiljer |
author_facet | Bemnet Teferi Maram Omar Tharshini Jeyakumar Rebecca Charow Caitlin Gillan Jessica Jardine Jane Mattson Azra Dhalla Sedef Akinli Kocak Mohammad Salhia Bryn Davies Megan Clare Sarah Younus David Wiljer |
author_sort | Bemnet Teferi |
collection | DOAJ |
description | In a dynamic healthcare landscape, healthcare professionals (HCPs) must be proficient in artificial intelligence (AI). The Clinician Champions Program was created to address these AI education gaps. Over six weeks, three cohorts participated in this interprofessional program, featuring weekly assignments and a capstone project. This study employs a qualitative descriptive approach to assess the program’s effectiveness in enhancing knowledge, confidence, and skills in AI integration. With a 78% completion rate among 158 clinicians, the program utilized engaging methods, including case studies, capstone projects, and reflective learning to meet diverse learning needs. It also emphasized ethical considerations (e.g., IDEA framework) and the importance of extending educational opportunities to various healthcare professionals. The findings highlight the necessity of a diverse, equitable, and inclusive learning environment to bridge AI education gaps in healthcare. The program’s success supports the idea that enhancing AI knowledge and fostering confidence can lead to meaningful AI discussions in healthcare practice. This research offers insights for educators and institutions aiming to address the evolving healthcare needs through innovative interprofessional educational approaches. |
first_indexed | 2024-03-08T10:59:45Z |
format | Article |
id | doaj.art-ffc2a27ba2e140af993739370e7ebc46 |
institution | Directory Open Access Journal |
issn | 2227-7102 |
language | English |
last_indexed | 2024-03-08T10:59:45Z |
publishDate | 2023-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Education Sciences |
spelling | doaj.art-ffc2a27ba2e140af993739370e7ebc462024-01-26T16:09:35ZengMDPI AGEducation Sciences2227-71022023-12-011413910.3390/educsci14010039Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Prioritizing IDEA to Champion a Collaborative Educational Approach in a Stressed SystemBemnet Teferi0Maram Omar1Tharshini Jeyakumar2Rebecca Charow3Caitlin Gillan4Jessica Jardine5Jane Mattson6Azra Dhalla7Sedef Akinli Kocak8Mohammad Salhia9Bryn Davies10Megan Clare11Sarah Younus12David Wiljer13University Health Network, Toronto, ON M5G 2C4, CanadaUniversity Health Network, Toronto, ON M5G 2C4, CanadaUniversity Health Network, Toronto, ON M5G 2C4, CanadaUniversity Health Network, Toronto, ON M5G 2C4, CanadaUniversity Health Network, Toronto, ON M5G 2C4, CanadaUniversity Health Network, Toronto, ON M5G 2C4, CanadaMichener Institute of Education, University Health Network, Toronto, ON M5T 1V4, CanadaVector Institute, Toronto, ON M5G 0C6, CanadaVector Institute, Toronto, ON M5G 0C6, CanadaRotman School of Management, University of Toronto, Toronto, ON M5S 1A1, CanadaUniversity Health Network, Toronto, ON M5G 2C4, CanadaUniversity Health Network, Toronto, ON M5G 2C4, CanadaUniversity Health Network, Toronto, ON M5G 2C4, CanadaUniversity Health Network, Toronto, ON M5G 2C4, CanadaIn a dynamic healthcare landscape, healthcare professionals (HCPs) must be proficient in artificial intelligence (AI). The Clinician Champions Program was created to address these AI education gaps. Over six weeks, three cohorts participated in this interprofessional program, featuring weekly assignments and a capstone project. This study employs a qualitative descriptive approach to assess the program’s effectiveness in enhancing knowledge, confidence, and skills in AI integration. With a 78% completion rate among 158 clinicians, the program utilized engaging methods, including case studies, capstone projects, and reflective learning to meet diverse learning needs. It also emphasized ethical considerations (e.g., IDEA framework) and the importance of extending educational opportunities to various healthcare professionals. The findings highlight the necessity of a diverse, equitable, and inclusive learning environment to bridge AI education gaps in healthcare. The program’s success supports the idea that enhancing AI knowledge and fostering confidence can lead to meaningful AI discussions in healthcare practice. This research offers insights for educators and institutions aiming to address the evolving healthcare needs through innovative interprofessional educational approaches.https://www.mdpi.com/2227-7102/14/1/39AI in healthcarecollaborative learninginterprofessional educationhealthcare professional educationinclusive learningprogram evaluation |
spellingShingle | Bemnet Teferi Maram Omar Tharshini Jeyakumar Rebecca Charow Caitlin Gillan Jessica Jardine Jane Mattson Azra Dhalla Sedef Akinli Kocak Mohammad Salhia Bryn Davies Megan Clare Sarah Younus David Wiljer Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Prioritizing IDEA to Champion a Collaborative Educational Approach in a Stressed System Education Sciences AI in healthcare collaborative learning interprofessional education healthcare professional education inclusive learning program evaluation |
title | Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Prioritizing IDEA to Champion a Collaborative Educational Approach in a Stressed System |
title_full | Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Prioritizing IDEA to Champion a Collaborative Educational Approach in a Stressed System |
title_fullStr | Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Prioritizing IDEA to Champion a Collaborative Educational Approach in a Stressed System |
title_full_unstemmed | Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Prioritizing IDEA to Champion a Collaborative Educational Approach in a Stressed System |
title_short | Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Prioritizing IDEA to Champion a Collaborative Educational Approach in a Stressed System |
title_sort | accelerating the appropriate adoption of artificial intelligence in health care prioritizing idea to champion a collaborative educational approach in a stressed system |
topic | AI in healthcare collaborative learning interprofessional education healthcare professional education inclusive learning program evaluation |
url | https://www.mdpi.com/2227-7102/14/1/39 |
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