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Conference Paper: Future of Inter-professional Education: Learning with Machine and Machine Learning
Title | Future of Inter-professional Education: Learning with Machine and Machine Learning |
---|---|
Authors | |
Issue Date | 2018 |
Publisher | Bau Institute of Medical and Health Sciences Education, Li Ka Shing Faculty of Medicine, The University of Hong Kong. |
Citation | Frontiers in Medical and Health Sciences Education 2018: Learning in Alliance: Inter-professional Health Education and Practice, Hong Kong, 18-19 December 2018 How to Cite? |
Abstract | This presentation brings out the concept of artificial intelligence (AI), its influence on the healthcare
professional workforce and how we can prepare our next generation to face the challenges of the new
era. Industry 4.0 is the forth industrial revolution that is a prescribed and predicted paradigm shift
through robotics like exploring human-machine interaction. It clearly points out the adoption of the next
big wave of technology, AI which describes the ability of machines to imitate human mental prowess
and this intelligence applies to both machines and software systems. AI has a definite impact on the
healthcare professional workforce and leads to a new golden age of work. All repetitive tasks will be
performed by intelligent machines or devices, whereas autonomy, creativity and empathy will become
the core competencies required for any job. Robot or AI will be part of the inter-professional team and
there will be a stream of new business opportunities empowering a culture of creativeness and
innovation. Hence, it is crucial to equip our next generation with the abilities that will not be replaced
by AI; as well as prepare them to face the challenges brought by the new era. |
Description | Second Plenary Session: Future of Inter-professional Education: Technology and Pedagogy Organizer: Bau Institute of Medical and Health Sciences Education, Li Ka Shing Faculty of Medicine, The University of Hong Kong |
Persistent Identifier | http://hdl.handle.net/10722/297097 |
DC Field | Value | Language |
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dc.contributor.author | Lin, C | - |
dc.date.accessioned | 2021-03-04T04:51:53Z | - |
dc.date.available | 2021-03-04T04:51:53Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Frontiers in Medical and Health Sciences Education 2018: Learning in Alliance: Inter-professional Health Education and Practice, Hong Kong, 18-19 December 2018 | - |
dc.identifier.uri | http://hdl.handle.net/10722/297097 | - |
dc.description | Second Plenary Session: Future of Inter-professional Education: Technology and Pedagogy | - |
dc.description | Organizer: Bau Institute of Medical and Health Sciences Education, Li Ka Shing Faculty of Medicine, The University of Hong Kong | - |
dc.description.abstract | This presentation brings out the concept of artificial intelligence (AI), its influence on the healthcare professional workforce and how we can prepare our next generation to face the challenges of the new era. Industry 4.0 is the forth industrial revolution that is a prescribed and predicted paradigm shift through robotics like exploring human-machine interaction. It clearly points out the adoption of the next big wave of technology, AI which describes the ability of machines to imitate human mental prowess and this intelligence applies to both machines and software systems. AI has a definite impact on the healthcare professional workforce and leads to a new golden age of work. All repetitive tasks will be performed by intelligent machines or devices, whereas autonomy, creativity and empathy will become the core competencies required for any job. Robot or AI will be part of the inter-professional team and there will be a stream of new business opportunities empowering a culture of creativeness and innovation. Hence, it is crucial to equip our next generation with the abilities that will not be replaced by AI; as well as prepare them to face the challenges brought by the new era. | - |
dc.language | eng | - |
dc.publisher | Bau Institute of Medical and Health Sciences Education, Li Ka Shing Faculty of Medicine, The University of Hong Kong. | - |
dc.relation.ispartof | Frontiers in Medical and Health Sciences Education 2018 | - |
dc.title | Future of Inter-professional Education: Learning with Machine and Machine Learning | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Lin, C: lincc@hku.hk | - |
dc.identifier.authority | Lin, C=rp02265 | - |
dc.identifier.hkuros | 299957 | - |
dc.publisher.place | Hong Kong | - |