Integrations

Use the data already describing the patient’s care journey.

reCare.ai connects clinical, scheduling, referral, claims, communication, device, and event data without requiring organizations to replace their systems of record.

EHRClaimsSchedulingReferralsEngagementDevices
Normalized patient contextreCare.ai
DetectionWorkflowMeasurement

Why it matters

The intelligence layer should sit across the stack—not become another silo.

The right integration footprint depends on the workflow. A referral-closure use case may need orders, scheduling, completion events, and patient outreach. A transition workflow may require discharge, medication, follow-up, and engagement data. reCare.ai is designed to start with one measurable workflow and the data required to support it, then expand the longitudinal context as value is proven.

What this changes

FHIR + APIs

Connect EHR and clinical data through HL7 FHIR and REST APIs when those interfaces are available.

Webhooks + event feeds

Receive scheduling, referral, discharge, engagement, workflow, and other operational events as they happen.

Claims + data files

Use claims and structured data files when batch evidence is the practical way to understand utilization, completion, or historical context.

How reCare.ai works here

Add intelligence to the workflow teams already use

01

Define the operating question

Start with a specific journey or outcome the organization needs to manage.

02

Identify the evidence

Determine which source events show expected care, completed care, planned care, and patient-level change.

03

Normalize patient context

Map source-specific data into a consistent longitudinal event and patient model.

04

Return intelligence to the workflow

Push the relevant exception, evidence, task, or next-step context back into the customer’s existing care-management process, work queue, outreach or scheduling flow, or API integration.

FAQ

Common questions about this workflow.

What integration methods does reCare.ai support?

Depending on the workflow, integration patterns can include HL7 FHIR, REST APIs, webhooks, event feeds, scheduling and referral data, claims, and structured data files.

Do we need to integrate every system before starting?

No. Start with one measurable workflow and connect the data required to support it. The longitudinal context can expand over time as the deployment proves value.

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.

Request a demo