Transforming healthcare with AI
This report examines the transformative potential of AI in healthcare, focusing on its impact on the workforce and organizations.
(Generated with the help of GPT-4)
| Quick Facts | |
|---|---|
| Report location: | source |
| Language: | English |
| Publisher: | McKinsey |
| Publication date: | March 1, 2020 |
| Authors: | Angela Spatharou, Dr. Angela Spartharou, Jan-Phillipp Beck, Jonathan Jenkins, Jorge Fernandez Garcia, Solveigh Hieronimus |
| Time horizon: | 2030 |
| Geographic focus: | European Union, Europe, North America, Asia |
| Page count: | 134 |
Methods
The research method included proprietary analyses by EIT Health and McKinsey & Company, interviews with 62 healthcare and AI leaders, and an online survey of 175 healthcare professionals, investors, and AI startup executives.
(Generated with the help of GPT-4)
Key Insights
Artificial intelligence (AI) is poised to revolutionize healthcare by enhancing care delivery, improving patient outcomes, and optimizing operations. This report, a collaboration between EIT Health and McKinsey & Company, explores AI's potential to address challenges in healthcare, such as workforce shortages and the increasing demand for services due to an aging population. It provides insights into the current state of AI in healthcare, its applications, and the barriers to its adoption. The report also discusses the implications of AI for healthcare practitioners and organizations, including the need for new skills and roles, and outlines recommendations for healthcare systems and policymakers to facilitate the integration and scaling of AI in healthcare. The research draws on proprietary analyses, interviews with healthcare leaders, and a survey of healthcare professionals and AI experts.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: 2020 publication year | 2030 time horizon | 2030s time horizon | Asia geographic scope | English publication language | Europe geographic scope | North America geographic scope | ai in healthcare | artificial intelligence | automation | care delivery | data governance | digital skills | ethical considerations | european union geographic scope | health | healthcare | insurance | organizational change | patient outcomes | policy recommendations | workforce impact