For primary care teams

Built into the workflow you already have — not another one to learn.

Your team already sees the early signs of CKD in the chart. Springbox turns that into a confirmed flag, a drafted prior authorization, and a matched referral — without a new portal, a new login, or more clicks than a fifteen-minute visit allows.

Care Team Inbox · Example

Patient ID 04471-J
eGFR down 16 pts over 3 visits
High
Patient ID 22038-R
uACR 340 mg/g, new this visit
Moderate
2 flags awaiting review
Review Queue

Illustrative example — not real patients.

What usually gets in the way

The problem isn't recognizing CKD. It's what happens next.

No one's watching the trend

A single eGFR value looks fine in isolation. The decline across three or four visits is what matters, and that's hard to hold in your head across a full panel.

Prior auth eats the referral

Even a clinically obvious referral can sit for weeks while someone assembles the documentation a payer needs to approve it.

Scheduling is its own bottleneck

A referral that goes out into a fax queue, with no one tracking whether the patient actually got an appointment, easily becomes a referral that never happened.

What Springbox adds

Four things your team doesn't have to build or staff for.

EHR-native flagging

Springbox integrates through standard HL7 FHIR data interfaces, so it reads labs, diagnoses, and medications from your existing EHR rather than asking your team to use a separate system.

Auto-drafted prior authorization

Payer-specific documentation is assembled from the chart the moment a flag is confirmed, so your staff is reviewing a packet instead of building one.

A vetted nephrology network

Referrals route to nephrology practices with open capacity and a track record of timely scheduling, not just the nearest fax number.

A record that stays shared

Visit notes and updated labs from nephrology flow back to the PCP automatically, so the referral doesn't quietly become a dead end.

What triggers a flag

CKD staging, at a glance.

Springbox's risk tiers are built around the same GFR categories used in clinical guidelines, so a flag maps to something your team already recognizes.

KDIGO GFR categories (mL/min/1.73m²). Springbox weighs uACR and risk-factor trends alongside eGFR rather than staging on eGFR alone.
StageeGFR rangeDescriptionTypical Springbox tier
G1≥ 90Normal or highMonitoring
G260–89Mildly decreasedMonitoring
G3a45–59Mildly–moderately decreasedModerate
G3b30–44Moderately–severely decreasedHigh
G415–29Severely decreasedHigh — referral prompt
G5< 15Kidney failureUrgent

Questions we hear first

From practices evaluating Springbox.

Does this require new software or a new login?

No. Springbox reads from your EHR through a standard FHIR interface and surfaces flags inside the workflow your team already uses. There's no separate dashboard your clinicians need to remember to check.

Who reviews the AI's flags before anything happens?

A clinician on your care team always confirms a flag before a referral or prior-authorization packet goes anywhere. Springbox drafts and prepares; it doesn't act unilaterally on a patient's chart.

What does it cost, and how is it billed to the practice?

Pricing depends on panel size and how your practice is structured — we'll walk through it on a demo call rather than guess at a number that doesn't fit your situation.

How is patient data handled?

Springbox is built to HIPAA standards, with access limited to the data needed for risk scoring and referral support. We're happy to walk your compliance team through the specifics.

See it on your panel

Bring a sample of your patient data to a working demo.