2019/06/01 by Thomas H. Davenport, Ravi Kalakota · 4 citations
Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare #Clinical Reasoning and Diagnostic Skills
paper · pdf · doi:10.7861/futurehosp.6-2-94
openalex publication_date 2019/06/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. Although there are many instances in which AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professional jobs for a considerable period. Ethical issues in the application of AI to healthcare are also discussed.