Fewer false gaps
Recognize scheduled or otherwise planned care before asking staff to intervene.
Care leakage detection
Find missing or incomplete care before it becomes a retrospective gap.
reCare.ai reconciles expected care with completed and planned events so teams can distinguish care that is already on track from a true gap, delay, or incomplete downstream plan.
Expected pathwayReferral closure
Ordered→Scheduled→Follow-up plan?→Closed loop
Gap before failure
The visit is scheduled, but required downstream follow-up has no reconciling event yet.
Why it matters
A missing completed event is not always a care gap.
If a specialist visit is already scheduled, that future event may reconcile the referral. reCare.ai keeps looking ahead: if required downstream labs, follow-up, or other dependencies have no order, appointment, or plan, the incomplete journey can be surfaced while there is still time to recover it.
What this changes
Earlier recovery
Find missing orders, appointments, dependencies, or follow-up before the opportunity is lost.
Closed-loop visibility
Track whether the recovery workflow resulted in a plan, completed care, or a need for further review.
How reCare.ai works here
Reconcile expected care with what is already in motion
Define expected care
Use pathways, orders, care plans, timing, and workflow rules to establish what should happen.
Look for reconciling evidence
Check completed care, scheduled future events, orders, patient responses, and other signals that show the plan is progressing.
Surface the real exception
Identify the missing, delayed, or incomplete step only after the existing plan has been taken into account.
Recover and verify
Support outreach, scheduling, navigation, coordination, or escalation and confirm what happened next.
FAQ
Common questions about this workflow.
How does reCare.ai avoid flagging care that is already scheduled?
reCare.ai looks for completed and future reconciling events, such as scheduled visits or active orders, before treating an expected step as a true exception.
What kinds of care leakage can reCare.ai support?
Examples include referral closure, post-discharge follow-up, preventive or chronic-care monitoring, and other workflows where an expected next step can be observed and reconciled.
Move from signals to action
See whether care is on track, and when the patient is changing.
Bring us a high-value workflow, a care-plan problem, or a population where earlier visibility into patient change could prevent an avoidable outcome. We’ll show you how the intelligence layer fits.