Over the past decade, healthcare and technology industry leaders, public officials and researchers have placed high hopes on harnessing advances in artificial intelligence (AI) and machine learning to transform healthcare. What’s been lacking, however, is a way for multilateral stakeholder coalitions to unite around a common vision for the most attainable solutions that can build trust and confidence in providers, patients, policymakers and business leaders.
“Scaling smart solutions with AI in health,” a joint report by the World Economic Forum and ZS, addresses this important issue in the pursuit of answers. This strategic publication aspires to serve as a primer on high-priority use cases for public-private collaboration to accelerate impact. It sets out a call to action for stakeholders from healthcare and beyond to unite around a common vision and set of tangible actions to unleash the full potential of AI, bringing about real and lasting change to global health and healthcare.
Read the report to learn more about:
- The factors driving the adoption of AI in healthcare
- A proposed taxonomy to express the breadth of AI healthcare applications
- Use cases that are attainable now and have the greatest potential to improve global health outcomes through sustained public-private investment
- Key barriers to—and enablers of—widespread adoption
- A call to action for individual stakeholders from healthcare and beyond
The report is based on:
- Our analysis of more than 400 real-world AI examples and applications in healthcare
- Interviews with more than 50 experts—from biopharma leaders, healthcare providers, insurers, technology firms and innovators, government, academia and nongovernmental organizations
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