Hive continuously scans your operational graph, finds the patterns that matter, and ships the findings with a dollar value, an owner, and the evidence. The detection library grows itself.
Five steps, on repeat, without anyone asking. Every step is auditable. Every finding traces back to the rows that triggered it.
Residents, orders, MDS, eMAR, labs, staffing, claims.
The catalog runs against every row, every night.
Dollar value, urgency, and round-robin balance.
Into one person's queue, with a draft action attached.
The engine grades itself and tunes what fires next.
Four statistical passes run against your operational graph every night. When one spots something, a proposer drafts a new detection pattern, with its own threshold, dollar math, and owner routing, and ships it as data. No code deploy.
A facility’s number on a metric is far enough from the chain median to be suspicious. Robust outlier math, not a trigger-happy z-score.
Residents with feature pattern X have adverse event Y happen at materially higher rates than the base population.
Event A tends to be followed by event B inside a bounded window. Lead indicator, not coincidence.
A facility’s own metric diverges from its recent history AND the chain trend. Something changed here, and only here.
At deployment, you get the full catalog. Six months later, the engine has retired the patterns that didn't perform on your data and accreted twenty or thirty new ones specific to your chain.
Every EHR reads your data. Hive does too, and cross-joins it against ten public federal datasets inside the same query. The most interesting signals live in that join.
Hive matches your active payroll against the full OIG exclusion list, monthly. Hiring or retaining an excluded person is a False Claims Act violation with exposure up to $22,927 per claim. Most chains check at hire and never again. The highest-risk scenario is invisible under a check-at-hire process.
Your facility's public CMS profile is what hospital referral coordinators, MA plan network teams, private-pay families, and plaintiff firms look at. We surface it next to your internal findings. A 1-star rating from 2023 stops being invisible while you optimize 2026 coding.
We walk a real resident chart, show what the engine surfaced, and let you drill into the evidence. You'll know by the end whether this fits your chain. No slide deck.