Predict payouts before patient intake.
No surprises.
Today, behavioral health providers lose on average $4K per month. Diaspora bridges this gap by predicting your exact revenue breakdown—whether from insurance, patients, or alternative sources—before treatment even starts, ensuring patient care but with financial security.
Try it
See a sample prediction
Select a payer, California ZIP code, and behavioral health codes. We'll show reimbursement data from our claims dataset.
From onboarding to
real-time predictions
Here is how we do it
We fit right into your intake workflow. Predictions start from day one and get smarter over time.
Onboard & Sign BAA
You sign up with us and we execute a Business Associate Agreement. We get credentialed on your behalf so we can securely access your claims data. HIPAA-compliant from day one.
Connect Data & Train Model
We connect to clearing houses using their APIs to pull your historical claims — allowed amounts, charged amounts, paid amounts, denial codes. Our models train on your facility's actual outcomes combined with our aggregated dataset.
Predict Outcomes for New Patient Intake
At intake, enter member, treatment code, payer, and state — we predict exactly how much you'll get paid, from which sources, before the patient is admitted. Insurance + patient responsibility split shown in real time.
Features
The difference is clear
Without Diaspora
- ×Guessing what you'll get paid
- ×Manual VOBs and eligibility checks
- ×Surprise denials after treatment
- ×Uncertain patient responsibility
With Diaspora
- ✓Exact payout prediction at intake
- ✓Automated VOB + ML on real claims
- ✓Know before you admit
- ✓Insurance vs patient split upfront
Our Research
“We had no idea how much we were losing until Diaspora showed us the numbers before admission. Now we check every patient at intake — it changed everything.”
Operations DirectorBehavioral Health Facility
Behavioral health facility
Ready to get started?
Let us show you how Diaspora predicts what you'll get paid — so you never lose $4,000 per patient again.