Artificial Intelligence in Healthcare
Analytics
Artificial Intelligence in Healthcare
Lowering costs and improving health outcomes are two of the biggest drivers of expanding the artificial intelligence market in health care. eHealth Initiative, a nonprofit organization working at the intersection of health and technology, and Cerner, a global leader in health care technology, explore this evolving role of AI in a new report titled, “Artificial Intelligence (AI) in Healthcare.”
The brief identifies three key areas for AI implementation in health care: physicians’ clinical judgment and diagnosis, AI-assisted robotic surgery and virtual nursing assistants. The publication also cites key data that indicates a growing demand for AI in health care throughout the next decade, while presenting cost savings to the health care system. Experts estimate AI applications could potentially create $150 billion in annual savings for the country’s health care economy by 2026.
The report explores several areas providers should consider for successful adoption of AI, including:
- Institutional Readiness and Network Capabilities
- Ethical Standards for Privacy and Safety
- Data Governance
- Data Types
- Access to High-Quality and Unbiased Data
- Evaluation of Technology Models
- Cost Savings