Custom AI workflows built specifically for medical oncology: deep integrations with the Flatiron OncoEMR stack, healthcare-grade privacy, and workflows that pay back in weeks, not years.
AI checks payer-specific PA requirements, pulls the chart from Flatiron OncoEMR, submits the PA with clinical justification, and tracks status — turnaround drops from 7 days to under 48 hours.
AI schedules infusions against chair capacity in Flatiron OncoEMR, verifies drug stock and PA, and rebalances when patients reschedule — chair utilization climbs and patients stop waiting.
AI classifies denials by reason code, drafts the appeal letter with chart-cited clinical support, resubmits with corrected info, and tracks the payer response — appeal capture rate doubles.
AI classifies each refill request against protocol, auto-approves routine refills with provider sign-off, and escalates anything requiring clinical judgment — nurse hours return to clinical work.
AI triages each result against the ordering context, queues abnormals for provider review, drafts patient communication, and books follow-up when indicated — no abnormal result sits more than 24 hours.
AI tracks every measure gap in real time from Flatiron OncoEMR, schedules outreach for overdue patients, and reports attainment monthly — practices hit bonus thresholds instead of missing them.
AI orchestrates the booking across Flatiron OncoEMR and facility systems, verifies insurance, confirms PA, and secures equipment — time-to-surgery drops and OR utilization climbs.
AI identifies overdue patients, sends personalized multi-channel recall, fills open slots from the recall pool, and reports reactivation rate — panel retention climbs measurably.
For oncology practice managers
For oncology practice managers
For oncology practice managers
For oncology practice managers
For oncology practice managers
For oncology practice managers
The workflows above are starting points. Every medical oncology operation runs differently — we build what you actually need.
