Burden of lung cancer can be reduced by implementing viable precision and personalized medicine solutions in oncology service lines and population health programs. Along the way, to avoid bottlenecks, data overload and workflow inefficiencies need to be resolved. Efficiency in managing increased amounts of data can enable new opportunities for cancer detection; faster staging and pathway selection; adopting innovative therapy options and better patient follow-up.
• Discovering new ways for earlier lung cancer detection
• Discussing examples of best practices in lung cancer lines and population health systems
• Discussing ideas for improvements (including value-based care approach in oncology)