Iva is a clinical decision support platform that identifies subclinical metabolic populations within existing EHR data, establishes ICD-10-anchored medical necessity, and automates HCC documentation — enabling health systems to accurately capture risk-adjusted reimbursement and reduce preventable total cost of care.
There is an estimated 10-year interval — the Silent Decade — between the point at which subclinical metabolic dysfunction becomes measurable and the point at which it satisfies the diagnostic threshold for a billable disease code. For systems operating under value-based care contracts, this interval represents a structural documentation gap that actively suppresses RAF scores and distorts actuarial risk assumptions.
Subclinical metabolic dysfunction — physiologically active, clinically measurable, and progressing — generates no ICD-10 code, produces no RAF contribution, and triggers no reimbursement pathway under standard EHR workflows. The system absorbs actuarial risk without corresponding resources.
Patients in the Silent Decade generate low-margin E/M codes while accumulating the clinical complexity that will materialize as high-cost acute events within your ACO's performance period.
Subclinical metabolic dysfunction, pre-diagnostic hepatic disease, and impaired glucose regulation lack recognized billing codes. Without an ICD-10 anchor, no reimbursement pathway exists for the workup or intervention — regardless of the clinical evidence supporting it.
When subclinical complexity goes undocumented, risk-adjusted payment rates reflect a population less clinically complex than it actually is. In capitated and shared-savings arrangements, the system bears actuarial exposure that its documentation does not support.
Without a structured medical necessity framework for early metabolic intervention, proactive clinical care operates as an uncompensated cost center — delivered without a billing pathway even when it directly prevents high-cost downstream events.
The EHR captures what meets diagnostic threshold. Iva captures what precedes it. The interval between those two records is where reimbursement is lost and financial risk accumulates undetected.
Late-stage. Fully codeable. By the time these codes enter the EHR, the downstream cost burden has already transferred to the system.
Physiologically present. Clinically measurable. Reimbursable with an appropriate ICD-10 anchor and defensible medical necessity framework — both generated automatically by Iva.
Iva establishes a clinical classification, an ICD-10 anchor, and a structured reimbursement pathway for subclinical dysfunction — translating upstream physiological signals into payer-accepted documentation of medical necessity before those signals progress into the chronic disease codes that carry the most significant financial consequences under value-based contracts.
For a multi-specialty system with 100,000 attributed lives, the absence of subclinical documentation infrastructure creates two concurrent and compounding financial exposures — one in fee-for-service reimbursement, one in value-based contract performance.
Subclinical patients generate standard, low-margin E/M codes during routine encounters because standard panels fall within reference ranges. Without a medical necessity framework, clinically indicated workups remain unbilled — and the system absorbs their cost with no corresponding reimbursement.
| Billable Service Pathway | Avg. Rate | Est. Revenue |
|---|---|---|
| Advanced Metabolic AssessmentDEXA body composition, RMR/RER, VO₂ Max | $150–$250 | ~$1M/yr |
| Medical Nutrition TherapyRecurring rising-risk monitoring (4×/yr) | $120/session | ~$2.4M/yr |
| Therapeutic Lifestyle InterventionStructured physiological care management | $150/program | ~$750K/yr |
| Unrealized FFS Revenue | ~$4.15M/yr | |
Modeled on 20% annual utilization of a 25,000-patient subclinical cohort within a 100,000-life attributed population.
Under MSSP and commercial ACO arrangements, systems are assessed on Total Cost of Care and penalized when patients deteriorate into high-cost acute disease states. Subclinical patients who are not identified and managed in advance represent a predictable source of ACO performance risk.
Once a patient reaches a codeable chronic disease threshold, annual care management costs increase materially — encompassing specialty referrals, advanced imaging, pharmaceutical management, and unplanned ED utilization.
If 5% of an unmanaged 25,000-patient subclinical cohort (1,250 patients) transitions to acute metabolic disease within a performance year, the system incurs an estimated $8,000–$12,000 in avoidable spend per patient.
1,250 patients × $10,000 avg. avoidable cost per patient
On a conservative basis, a multi-specialty system managing subclinical metabolic patients reactively rather than prospectively foregoes $15–17 million annually — distributed across unrealized preventive care reimbursement and lost value-based performance savings. Iva addresses both exposures within a single documentation infrastructure.
Iva is a single documentation infrastructure layer that operates within existing EHR workflows to identify subclinical patients, support clinical decision-making, and generate compliant HCC documentation automatically — closing the gap between measurable dysfunction and payer-recognized medical necessity.
Identifies the subclinical population within existing EHR data — patients whose individual lab values fall within reference ranges but whose aggregated clinical record indicates active metabolic dysfunction and escalating disease risk.
Delivers structured Metabolic Narratives into Epic — providing care teams with an evidence-grounded clinical assessment of each patient's physiological risk profile and a standardized, protocol-driven intervention pathway.
Functions as a translation layer between early-stage clinical findings and the billing system — establishing ICD-10 anchors for subclinical states and constructing the audit-ready documentation trail required for payer acceptance and HCC risk adjustment.
By generating ICD-10-anchored documentation of medical necessity for subclinical metabolic assessment, Iva converts clinically indicated preventive workups into structured, payer-aligned billing events.
Iva identifies patients at highest transition risk before they generate the high-cost acute events that erode shared savings and compromise ACO benchmarks.
Iva is priced on a per-member-per-month basis, scaling proportionally with your attributed population. The cost of the platform grows in direct proportion to the reimbursement and risk-reduction value it generates.
Complete access to Iva's clinical decision intelligence infrastructure — risk identification, CDSS logic, and automated claims coding — across your full enrolled population.
Pricing is structured around attributed population size. Contact us for a tailored assessment →
Submit your contact information to schedule a demonstration. We will show you the estimated size of the subclinical population within your current attributed lives, and the projected revenue and risk-reduction impact of closing your system's HCC documentation gap.
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