Referral Intake Automation
AI brings every referral into one queue, reads it and summarizes it. Your intake team confirms it.
See how it worksThe problem
Most home health referrals still arrive by fax, at about 10 minutes each to process.
Referrals arrive by fax, email and portals, in many formats.
Staff read every page to decide if the patient is a fit.
Missing orders and signatures are found late, after hours of work.
The first visit waits until intake is finished by hand.
A referral read and answered fast becomes a patient admitted. That is where we start.
The workflow
A workflow is a chain of stages, and each stage needs its own AI agent. Referral intake has four stages, from the referral arriving to the first visit. We map the agent each stage needs with your team. We build the first agent, take it live, then add the next.
We walk through each stage with your team and name the agent it needs.
We build Referral Intake Automation first, test it on past referrals and take it live.
Each new agent reuses the same data, rules and templates, so it goes live faster.
AI brings every referral into one queue, reads it and summarizes it. Your intake team confirms it.
See how it worksAI checks coverage, service area, skills and staff capacity, and scores the fit. Your team decides.
AI spots missing orders, signatures or notes, and drafts the request. Your team sends it.
AI matches the patient to a clinician and proposes the first visit. Your scheduler books it.
Agent 1
Every referral read and summarized on arrival. Your intake team confirms each one.
It works with any home health or hospice EHR, with no changes to it. Patient data stays in your environment.
Gathers referrals from fax, email and portals into one queue.
Reads every page, including scans and handwriting.
Pulls patient, payer, orders and diagnoses into one summary.
Your intake coordinator checks the summary and confirms it.
Sends the details to your EHR and logs each step.
Patient data stays in your environment, and every step is logged.
Use cases
Every referral is saved with its details and result, for other teams to use. Each card shows the data it needs.
See which sources send the most referrals, and which convert.
Track each referral through to the first visit.
See how fast each branch answers referrals.
See referral demand by branch and clinician skill.
The same data also feeds your intake and growth reports. Built on the healthcare data foundation ›
Typical results for referral intake, based on industry averages.
First answer to each referral
Less intake time per referral
More referrals admitted
Fewer referrals held up by missing items
We will add measured client results as the work goes live.
No. Each agent works on its own. We map all four so they share data and rules. Then we build them one at a time, fastest payback first.
Yes. It works with any home health or hospice EHR, with no changes to it.
Many providers run more than one EHR, or want their own rules. We build one intake workflow across them, on your cloud.
Patient data is encrypted and stays in your environment. Access is limited by role, and every access is logged.
Your intake coordinators. AI prepares each referral, and a person confirms it before anything is saved.
Get started
Ten questions about your data, systems and teams. You get a score and a clear place to start.
Take the AI Readiness DiagnosticDownload a sample report ›Our data engineers score your data and give you a ranked plan for the first projects.
Book a Data Readiness AssessmentDownload a sample report ›Your AI ideas scored and ranked, with the right agent, model and size for each.
Book AI Use Case PrioritizationDownload a sample report ›