Where our customers want
prices in athenahealth

2026
athenahealth × Superscript
What an integration could look like

AT CHECK-IN

•

00

The status quo

Today, EHRs can only show a cost share when it is a copay. A patient who has not met the deductible, or whose benefits are more complicated, gets one of the most confusing and frustrating experiences in healthcare.

What the front desk team sees today

01

With Superscript

We specialize in patient cost shares. Our pricing infrastructure can price every patient case ahead of time: deductibles, coinsurance and all their combinations, not just the copays the industry stops at.

Click "Explain these prices" to view

02

Confirm what is planned

Our predictive model determines the most likely codes for the visit, including likely additional services and severity or therapeutic substitutions. When the front desk team knows ahead of time, it can add a treatment or change a severity, and our pricing engines reprice the visit immediately.

Click a price on the sheet

03

Understand the benefits

Every Superscript cost share comes with an explanation of the benefits that determined it. The front desk is empowered to answer financial questions that used to be unanswerable.

Scroll to section 2

04

What the patient sees during mobile check-in

Online check-in can now show the full financial picture. Our plain-language pricing explanations turn benefit responses, payer-negotiated rates and medical variance into something patients can understand.

Tap "Pay $120.08 now"

05

Why these codes were selected

Our models explain their reasoning, so the front desk team can make an informed decision whenever there is any doubt.

Click "How we chose the codes"

06

Collect

Price transparency comes with real financial return. Practices and patients can enter into a fair financial agreement before the service. Our partners see a 13.2% increase in collections on average.

Collect $120.08 now

TRY ANOTHER SPECIALTY

AT CHECK-OUT

•

00

The status quo

Medicine is emergent. When a treatment is added or a code is substituted, the front desk cannot see how the patient's cost share changes. The difference goes out as a statement weeks later, or as a refund the practice needs to catch and process.

What the front desk team sees today

01

With Superscript

The billing tab shows the patient's cost share on every line, with a running total against what was collected at check-in. Our treatment prediction engine surfaces the treatments likely to come up in this visit, each with its cost share, so an injection and its drug are added in one click and the cost share updates with them.

Add the steroid injection

02

Charge before the claim returns

Anything added in the room is charged before the patient leaves, in one click, weeks before the claim comes back.

Show Jordan the price

03

When the visit turns out simpler

If a severity or therapeutic substitution lowers the price, the patient is refunded on the spot: a better experience, and no overpayment to catch before the state refund deadline.

Lower complexity example

TRY AN EXAMPLE

GET /v1/prices/{context_id}/{appointment_id}200 · completed

{
  "patient_responsibility": 12008,
  "base": { "items": [ { "cpt": "99214", "allowed": 12008,
      "adjustments": [ { "type": "deductible", "amount": 12008,
        "explanation": "Jordan hasn't met the deductible…" } ] } ] },
  "x_axis": [ { "cpt": "99213", "likelihood": 0.11, "reason": "Low complexity",
      "when": "if nothing in the plan changes", "patient_responsibility": 8492 }, … ],
  "y_axis": [ { "cpt": "20610", "with": ["J1030"], "likelihood": 0.55,
      "reason": "Steroid injection, large joint",
      "clinical": "Dr. Okafor injects the knee when…", "patient_responsibility": 22178 }, … ],
  "insurances": [ { "payer": "Aetna", "accumulators":
      { "deductible_remaining": 150000, "oop_remaining": 200000 } } ],
  "selection": { "code": "99214", "committed": true,
      "attribution": { "base": 0.58, "final": 0.86, "threshold": 0.47,
        "signals": [ ["patient history", 0.14, "Billed 99214 on…"], … ] },
      "dropped": [ { "code": "99213", "final": 0.12 } ] }
}

WHAT THE API UNLOCKS

•With an appointment id and a context id, our four-engine pricing protocol delivers the full picture: predicted treatments and understandable prices for every outcome.

patient_responsibilityCollect the real amount at check-in. The front desk collects $120.08 instead of a $25 copay estimate that a bill corrects weeks later, so more comes in up front and fewer statements and write-offs follow.

base.items[]Show the patient what the visit is. Each treatment in the price has its own row, so the amount is tied to something the patient recognizes rather than to a service type.

x_axis[] · y_axis[]Know what else might happen, and what it would cost. Every alternative code and every likely add-on carries a price for the whole visit and a likelihood, so the front desk team can confirm an injection before the patient sits down and add the same treatments to the encounter at check-out.

adjustments[]Explain the benefit in plain language. Each line says which part of the plan set it, in words the front desk team can read to the patient. A deductible or coinsurance amount only gets collected up front when someone can say why.

insurances[].accumulatorsShow where the patient stands for the year. The response carries how much of the deductible and out-of-pocket maximum the patient has met, so the amount makes sense in context.

selection.attributionShow the reasoning behind the codes. Each code comes with how confident we are, what the prediction rests on and which other codes we considered, so staff can trust a price they did not calculate themselves.

THE PROTOCOL

•A Four-Engine Agentic Solution to Healthcare's Most Complex Data Problem.

Superscript spent 3.5 years in R&D building Healthcare's First Pricing Protocol.

01STROCK

APPOINTMENT

TYPEFollow-up · 20 min NOTE"discuss steroid injection" HISTORY99214 ×2

99214FOLLOW-UP VISIT86%

20610STEROID INJECTION55%

99213FOLLOW-UP, BRIEF11%

Predicts the treatments a visit will be billed as, before it happens, with the probability of each.

Strock Model (ML Treatment Prediction Engine)

Multilabel models trained on each practice's own adjudicated claims predict the CPTs a scheduled visit will be billed as, from more than 40 features about the patient, the appointment and the practice, tuned on three years of selecting treatments in the wild.

02ABE

ALL CLAIMS

43239 EGD 99213 E/M 76700 US Abd 29881 Knee Arthro

AETNA $1,371

CIGNA $1,198

HUMANA $1,442

Generates payer-negotiated rates across procedures, providers and payers.

ABE (Algorithmic Balancing Engine)

Financial, actuarial models built on adjudication outcomes to resolve payer/plan bundling logic and CPT nuance. Over 1TB of data ETL per practice.

03AIR

CLAIM

$642 DED $113 DED CVRD

CIGNA PPO

Patient X

An agentic benefits parsing engine to fully understand a patient's real-time coverage.

AIR (Accessing Insurance Resources)

Interprets X12 271 eligibility responses across EB segment hierarchies and free-text MSG fields using LLMs to normalize payer coverage logic complexity.

04ART

OUTPUTCIGNA PPO

43239EGD w/ biopsyDED$642.00

99152SedationDED$112.75

88312Special stainCVRDCovered

PATIENT OWES$1,112.45

CLAIM DATA → ← MODEL UPDATE

A feedback loop to continuously tighten our pricing accuracy.

ART (Adjudicating Real-time Transactions)

Reads every 835 remittance and maps each pricing discrepancy. 8,700+ weekly adjustments generate labeled training examples with unambiguous outcome signals, so the system self-corrects without human annotation or reward model drift.

Built by a world-class
team, guided by leading
healthcare advisors

Dr. Arthur KleinFormer President, Mt. Sinai Health Network
Jeffrey SachsFormer White House Advisor; Founder, Sachs Policy Group
Dr. Afsheen AfsharFormer Chief Data Officer, JPMorgan; Cerberus Capital Management
Dr. Chris PittmanFounder & CEO, Vein911; Chairman, Health Performance Specialists

Bob GlazerFormer CEO, ENT and Allergy Associates
Dr. Munish KhanejaCMO, Parachute Health
Former CSO, CareAbout
Joe BlewettFormer CEO, Kyruus (Formerly Epion)
Sap SinhaFormer President and COO, Allied Digestive Health; Former VP Ops, SCA Health