Why the sequence matters

Medicare and beneficiary savings can be estimated from claims, payment rates, and projected volume. Those calculations do not tell us whether appointment capacity will increase or decrease. They do not show whether hospitals will close off-campus imaging centers, shift examinations to the main campus, reduce evening and weekend hours, or redirect patients to independent facilities.

They also do not show whether independent imaging centers have the equipment, staff, and scheduling capacity to accept additional patients. A policy can lower the price of an examination without improving access if the lower-cost facilities are already operating near capacity.

The five connected areas

Policy boundaries

• Included modalities are defined by APC assignment and lack of contrast, not by a generic label.
• Contrast-enhanced CT and MRI composite APCs 8006 and 8008 are not included.
• Interventional radiology, nuclear medicine, emergency imaging, inpatient imaging, and professional interpretation require separate analysis.
• Local payment amounts still depend on payment files, wage adjustment, packaging, multiple-procedure rules, and claim configuration.
• A system may own multiple sites with different modifiers; enterprise averages can conceal a concentrated department-level loss.

Limitations of this classification

This research does not reproduce CMS claims analysis, estimate local wage-adjusted rates, or model every payer contract. The proposed rule’s final language and payment addenda may change.

Facility-level effects require actual PO and PN claim flags, code-level volume, payer mix, local PFS and OPPS amounts, packaged-service logic, and cost-accounting data. Patient access and quality effects remain uncertain because narrow historical policies had limited reach and because site choice is endogenous.

The economic mechanism has three steps

Post et al. (2021) estimated that integrated Medicare physicians would have generated approximately $114,000 more reimbursement per physician per year under site-based payment, consistent with a meaningful integration incentive.

Why narrow reforms may appear ineffective

Post et al. (2025) found that only 1.5% of outpatient department spending during 2017 through 2020 occurred at facilities subject to the narrow site-neutral policy, and the policy had little effect on total outpatient spending or hospital-physician integration.

That is not evidence that payment differentials never matter. It shows that policy reach determines observable system effects. Lou et al. (2025) reached the same design lesson from a different direction: standardized annual Medicare savings ranged from $212 million to $7.36 billion across proposals with different APCs and campus scopes.

Why the rate-only multiple is optimistic

The rate-only calculation replaces gross revenue and ignores cost entirely. Additional volume consumes technologist time, scanner capacity, supplies, billing resources, and maintenance.

The cost-adjusted break-even multiple can be far larger. In the paper’s reference case, a 2.50x rate-only multiple becomes a 6.10x requirement once variable cost is included, and it becomes undefined altogether when the modeled payment falls to or below variable cost.

Capacity is the second constraint

Even where the arithmetic is survivable, the required volume must physically fit. Scanner hours, staffed hours, protocol time, and no-show rates set a hard ceiling that a spreadsheet does not.

Scanners and technologists are lumpy resources. Peak-time capacity may be scarce even when average utilization appears low, so an average-utilization figure is not evidence that displaced volume can be absorbed.

The two worked examples in the paper

If affected Medicare imaging accounts for 10% of total facility revenue, a 60% payment reduction produces an illustrative 6% total-revenue effect before behaviour.

If the affected share is 40%, the same rate reduction produces 24%. Both cells appear in the grid above and can be checked directly.

What the matrix cannot tell you

The matrix is a screen, not a decision. A modest total-revenue effect can still sit on top of a department whose closure would create a critical access gap, and a large effect can sit at a site with three capable alternatives within ten minutes.

Calculate financial exposure and access tier separately. Tab 13 scores the access side.

Independent imaging centers and IDTFs

Independent centers are relative beneficiaries because the hospital differential narrows. They do not receive an automatic rate increase. The proposed CY 2027 PFS conversion factors were also lower than 2026 because a one-year statutory increase expires, underscoring that PFS economics remain pressured.

• Opportunity. Acquire displaced referral volume and compete on patient cost and appointment speed.
• Constraint. Scanners and technologists are lumpy resources; peak-time capacity may be scarce even when average utilization appears low.
• Constraint. Payer network inclusion and authorization rules can prevent patients from following a low-price referral path.
• Constraint. Independent facilities may lack sedation, emergency escalation, implanted-device protocols, or subspecialty support for selected patients.
• Strategic response. Document quality, turnaround, access, and patient experience rather than competing only on nominal price.

Radiologists and radiology groups

The professional component is not the principal target, but professional practice is exposed through volume location, coverage obligations, call structure, reading contracts, employment, and productivity expectations.

A department that compresses hours may create work spikes. A system that moves cases on campus may increase logistics and subspecialty coordination. A freestanding center that grows volume may need new professional coverage and faster turnaround.

Contract language should distinguish technical payment shocks from professional compensation methodology.

Beneficiaries

The clearest direct beneficiary effect is lower coinsurance on affected services if the proposal is finalized. CMS reports that average cost sharing at excepted off-campus PBDs is more than double the physician-office amount for the analyzed cohort.

Yet net patient value includes more than liability: travel, parking, schedule availability, care coordination, digital access, language support, diagnostic completion, and the probability of being redirected after an inappropriate site selection.

Payers and employers

Medicare gains immediate program savings. Commercial payers may use the federal policy as a negotiating reference, but commercial contracting is not mechanically tied to Medicare.

Philips and Whaley (2025) found HOPD imaging prices roughly two to three times office prices in a large Blue Cross Blue Shield dataset, with substantial facility-price variation. Employers and plans therefore have incentives to combine price steering with quality standards and network adequacy, while monitoring whether savings are offset by hospital commercial price increases elsewhere.

Rural and safety-net nuance

The proposed rural SCH exemption reduces direct exposure for one vulnerable group. Many critical access hospitals are outside OPPS, so the policy does not map uniformly onto the word rural.

Rural hospitals that are neither CAHs nor exempt SCHs, urban safety-net systems with geographically dispersed outpatient sites, and communities with few independent alternatives still require local assessment. The relevant unit is not hospital type; it is the affected department’s claims status plus substitute capacity within a realistic travel radius.

Quality safeguards

Low-complexity noncontrast imaging can be office-common while selected patients require a hospital environment because of mobility, oxygen dependence, anesthesia, device management, behavioural support, isolation, rapid escalation, or coordinated same-day specialty care.

• Separate routine outpatient imaging from emergency, inpatient, sedated, contrast-enhanced, interventional, and high-risk pathways.
• Track repeat imaging and failed examinations as potential signals of inappropriate site selection.
• Measure time from order to completed study, and time from abnormal result to documented follow-up.
• Stratify access by dual eligibility, disability, age, language, rurality, and neighbourhood deprivation.
• Treat patient travel time and transportation availability as quality-of-access outcomes, not background variables.

Phase 3: execute with guardrails

• Use a proposal-status banner in every model and executive dashboard until a final rule is issued.
• Freeze irreversible site decisions until exposure is validated against claim-level modifiers and final payment files.
• Set access guardrails before cost targets: maximum wait, travel, cancellation, and incomplete-study rates.
• Create a referral-routing standard incorporating clinical appropriateness, patient preference, network status, and total out-of-pocket cost.
• Monitor on-campus substitution to avoid solving department economics by increasing patient burden or masking policy intent.
• Publish a monthly transition scorecard for the first twelve months after implementation.

Escalation triggers

• A final-rule scope or payment ratio that differs materially from the modeled reference case.
• A projected negative contribution margin after feasible cost redesign.
• Insufficient substitute scanner capacity within a clinically reasonable travel radius.
• A sustained increase in wait time, cancellation, failed examination, or technologist overtime.
• A proposed site closure, ownership transaction, or on-campus migration with material community impact.

Identification safeguards

• Plot at least twelve quarters of pre-period coefficients and report joint pretrend tests.
• Use service-level and facility-level exposure intensity rather than a single treated indicator when feasible.
• Account for contemporaneous OPPS, PFS, 340B, prior-authorization, and Medicare Advantage policy changes.
• Test for anticipatory behaviour after the proposed and final rules but before implementation.
• Measure spillover to on-campus HOPDs and independent centers; a stable treated-site count can conceal substantial migration.
• Use falsification services not affected by the APC policy and negative-control time periods.
• Report heterogeneous effects by baseline capacity, rurality, market concentration, ownership, modality, and patient complexity.
• Separate statistical significance from operational importance, particularly for travel, wait, and diagnostic completion.

Minimum publishable analysis package

A doctoral-quality evaluation should include a preregistered protocol, code lists with version dates, a reproducible rate crosswalk, a cohort flow diagram, balance and pretrend tables, event-study figures, robustness to alternative comparators, missing-data analysis, heterogeneity estimates, and a transparent discussion of generalizability.

The policy-status timeline should be treated as an exposure feature rather than a background narrative. Confidence intervals should be reported in natural units such as dollars, days, miles, and completed studies per 1,000 beneficiaries.