Summary
The health care system is changing with new technologies like artificial intelligence, but the workforce is still trained using old methods. To keep up, new health care roles that combine clinical skills with data and technology knowledge are needed. Current regulations and school programs limit the development of these new roles.
Key Facts
- Health care is evolving with AI and new technologies, while the workforce uses outdated methods.
- Current health care training programs are based on old systems and don't match today's needs.
- AI-Integrated Clinical Roles involve using AI to improve clinical decision-making and care pathways.
- Complexity-Informed Systems Roles focus on designing adaptable care models.
- Value-Based Care Roles align with measuring and improving patient outcomes.
- New roles like Data Provenance Officers ensure the safe use and integrity of clinical data.
- Community-Centered Hybrid Roles combine virtual and in-person care with AI support.
- Barriers like outdated regulations and training prevent the creation of these new roles.
