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Title page
Contents
Résumé 5
Acknowledgements 6
Executive summary 9
1. Challenges for the health workforce and use of Artificial Intelligence 11
1.1. Challenges facing the health workforce 11
1.2. Artificial Intelligence: A tool to help improve health outcomes 13
1.3. Artificial Intelligence and the health workforce 19
2. Design of this study on Artificial Intelligence and health workforce 21
3. Results of survey on Artificial Intelligence and health workforce 23
3.1. General perspectives on AI in healthcare 24
3.2. Anticipated trajectory of AI in healthcare 25
3.3. Perceived opportunities of implementing AI in healthcare 26
3.4. Perceived risks of implementing AI in healthcare 27
3.5. Overall trends in involvement of countries medical associations in health AI 29
3.6. Perceived national obstacles to AI implementation in healthcare 30
4. Charting a path forward for AI in health 31
4.1. Positive perceptions of AI in healthcare outweigh the risks 31
4.2. AI will change healthcare and the physician's role will stay central 32
4.3. Data accessibility and managing AI applications perceived as significant barriers 33
4.4. Low levels of health and digital literacy as barriers to responsible AI innovation and adoption in healthcare 34
4.5. Ethical and liability concerns regarding AI in healthcare 35
4.6. Limitations of the study 38
5. Future directions for Artificial Intelligence and health workforce 39
Glossary 40
References 41
Annex A. Artificial Intelligence and the health workforce survey structure 48
Annex B. Level of involvement in adoption of AI in health by countries medical associations 54
Table 2.1. Structure of the final questionnaire sent to countries' medical associations 21
Table 2.2. Summary of the 5-point Likert Scale used in the AI and the Health workforce Survey 22
Table 3.1. Respondents to the AI in Health workforce Survey 23
Figure 1.1. AI-Supported clinical decision-making support system 14
Figure 2.1. AI in healthcare questionnaire research model 22
Figure 3.1. General perspectives of country medical associations on AI in healthcare 24
Figure 3.2. Countries medical associations anticipated trajectory of AI in healthcare 25
Figure 3.3. Medical associations perceived opportunities of Implementing AI in healthcare sector 26
Figure 3.4. Medical association perceived risks that prevent the adoption of AI in health 28
Figure 3.5. Medical association self-reported involvement in AI projects 29
Figure 3.6. Medical associations perceived barriers of implementing AI in healthcare sectors 30
Boxes
Box 1.1. Case analysis - Implementing AI in a pathology laboratory of Maccabi Healthcare Services 15
Box 1.2. Case analysis - AI-powered clinical note taking in healthcare 18
Box 1.3. Case analysis - Navigating AI adoption and governance in healthcare - The AMA's approach 20
Annex Tables
Table A B.1. Level of involvement in adoption of AI in health by countries medical associations 54
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