Concurrent Data Saves Lives

Cancer Registry data after-the-fact is history.
Concurrent data saves lives.

A common misperception is that cancer registry data is “only for reporting compliance.” If it is collected months later or manually abstracted, that is often true – it is too outdated to be informative or useful.

Perception: “Cancer Registry data is just for state or accreditation reporting.”

AI-powered concurrent abstraction makes cancer registry data living, actionable intelligence. With phased updates supported by automation, cancer programs gain near real-time insights:
–Time-to-treatment metrics to monitor delays
–Stage distribution shifts to detect screening gaps
–Treatment volumes to guide resource allocation
–Follow-up data to support survivorship care and clinical trials
–Concordance with best practice guidelines
–Real-time alerts for quality measure exceptions
–Clinical Trial study planning and projections, outcomes
–Service line analytics: procedure, treatment, department, provider, payor
–Referral patterns, in- and out-migration
–Community outreach, screening, prevention, education
–Quality and performance improvement
–Marketing, catchment area analytics
–Administrative and Cancer Committee oversight and service line planning
–Population health, epidemiology

Research backs this. The ImpACT project demonstrated that real-time registry data improved trial recruitment and patient access to studies (Bechelli et al., JCO Clin Inform, 2025). Nelson highlighted that transforming registries into real-time data engines supports administrators and physicians in making proactive decisions (Nelson H, J Registry Manag, 2024).

Truth: Concurrent abstraction with support from AI automation does not just track the past—it equips cancer programs to act in the present.