AI and Healthcare How Data Networks Will Save Healthcare with Therasa Bell
Oct 7, 2024
Therasa Bell, President, CTO, and co-founder of Kno2, sheds light on the urgent need for innovation in healthcare communication. She discusses the shift toward unified data networks, emphasizing the vital role of data sharing in overcoming provider shortages and inefficiencies. The conversation covers how machine learning and AI can revolutionize patient care by uncovering valuable insights from real-world data. Bell also highlights the importance of patient privacy in health data sharing and the transformative potential of technology in enhancing oncology care.
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Complexity of Healthcare Data Exchange
- Healthcare data is complex due to diverse provider types and specialized data needs, unlike simpler fields like banking.
- Past efforts, including state-based HIEs, faced challenges due to fragmentation and incomplete records.
TEFCA's National Network Breakthrough
- TEFCA represents a new federally backed framework consolidating previous networks.
- It mandates participation from major government entities, enabling large-scale, standardized data exchange nationally.
Data is Healthcare's Core Problem
- Data is the foundational problem underpinning healthcare's biggest issues.
- Solving data sharing and access enables innovation and new care models needed for sustainability.