Prehospital POCUS Value & ROI Calculator

Estimate the potential clinical, operational, capacity, and financial value of implementing point-of-care ultrasound in a 911 EMS system. The calculator opens with a deliberately conservative planning scenario, then allows every operational and financial assumption to be replaced with agency-specific data.

Conservative evidence-informed scenario 2026 U.S. ambulance-cost benchmark Agency inputs are fully editable

1. POCUS-eligible 911 volume

Estimate eligible encounters from annual 911 patient contacts, or enter a known annual eligible volume.

Illustrative agency volume only; replace with local data.
Illustrative operational assumption, not a published prevalence estimate.
Reduce for partial adoption, staffing, device access, or protocol limitations.

2. Published prehospital decision benchmarks

These values are shown for context only. They do not drive the ROI calculation.

Transport urgency changed
36.1%
Boehm et al., 2026; paramedic self-reported impact.
Hospital destination changed
18.1%
Boehm et al., 2026; not equivalent to a transfer avoided.
ED prealert avoided
9.7%
Boehm et al., 2026; German indication-specific context.
How these benchmarks are used: a changed destination, urgency level, or prealert may be clinically valuable without creating a direct cash saving. The financial scenario below therefore applies a separate, heavily discounted attribution factor rather than monetizing the published percentages directly.

3. Conservative value scenario & local assumptions

The default scenario assumes that only 10% of the published 18.1% destination changes translate into one avoided downstream ground-ambulance transport/resource cycle. That monetizes approximately 1.81% of addressable POCUS encounters while discounting 90% of destination changes. Each attributable event is valued at the 2026 MedPAC urban mean cost of $1,018.

Default: 10% of destination changes. With the 18.1% published destination-change benchmark, this equals a 1.81% attributable-event rate across all addressable POCUS encounters. Replace with local QA/outcome data when available.
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MedPAC 2026 mean cost/transport: urban $1,018; rural $997; super-rural $1,263; government-owned $1,626. Local fully allocated cost is preferred.
Conservative planning default. CMS GADCS found 48% of organizations reported average time-on-task under 1 hour and 44% between 1 and 2 hours; local CAD/ePCR time is preferred.
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Optional. Leave at $0 unless the agency can defend a staffed-unit-hour or capacity value. Returned hours are still displayed.
Optional local enhancement. Avoid double counting events already included in the transport bucket.
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Use direct local cost and a clearly documented attribution rule.
Default 0: a physician-HEMS cohort reported median scan time 3 min but median scene-time prolongation 0 min. Local paramedic data are preferred.

4. Program investment

Enter actual implementation costs to activate ROI, payback, and break-even calculations.

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Leave at $0 if suitable equipment is already owned.
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Probe covers, gel, cleaning, disposables, etc., if incremental.

Methodology & evidence

The economic model is deliberately narrower than the clinical evidence so users can audit exactly what is—and is not—being monetized.

Paramedic POCUS feasibility and decision impact
Published benchmark counts = Addressable POCUS encounters × published decision-change percentage
These counts are displayed as contextual benchmarks only and are excluded from financial value unless local attributable outcomes are entered separately.
Boehm A, Bexten T, Stanley M, et al. Feasibility and diagnostic accuracy of paramedic-performed prehospital point-of-care ultrasound: a retrospective observational study. Scand J Trauma Resusc Emerg Med. 2026;34:68. doi:10.1186/s13049-026-01595-4. Full textLimited–Moderate
Time burden and scene-time assumptions
Net unit hours returned = (Avoided downstream events × unit minutes released − addressable POCUS encounters × incremental POCUS mission minutes) ÷ 60
Vianen NJ, Van Lieshout EMM, Vlasveld KHA, et al. Impact of Point-of-Care Ultrasound on Prehospital Decision Making by HEMS Physicians in Critically Ill and Injured Patients: A Prospective Cohort Study. Prehosp Disaster Med. 2023;38(4):444-449. doi:10.1017/S1049023X23006003. Median POCUS examination time was 3 minutes and median estimated scene-time prolongation was 0 minutes in this physician-HEMS cohort. ArticleModerate / indirect
Ambulance cost and unit-time benchmarks
Default direct value = Avoided downstream events × $1,018 per event
Default unit hours returned = Avoided downstream events × 60 minutes ÷ 60
Medicare Payment Advisory Commission (MedPAC). Report to the Congress: Medicare and the Health Care Delivery System. June 2026, Chapter 6. Mean ground-ambulance cost per transport was $1,018 for urban organizations, $997 rural, $1,263 super-rural, and $1,626 for government-owned organizations. MedPAC report

Centers for Medicare & Medicaid Services. Medicare Ground Ambulance Data Collection System (GADCS) Report. Organizations most commonly reported average time-on-task under one hour (48%) or one to two hours (44%). CMS reportModerate benchmark
Why the default financial-effect scenario uses only 10% of destination changes

Current paramedic POCUS evidence does not establish how often a changed destination prevents a later transfer or comparable downstream resource cycle. The public calculator therefore applies a 90% discount to the published destination-change signal: only 10% of the 18.1% destination changes are assumed to create one financially attributable downstream event. This produces an effective event rate of 1.81% of all addressable POCUS encounters. It is a transparent planning scenario—not a published avoidance rate—and users can switch it to zero or replace it with local outcome data.

Conservative scenario assumption
Break-even logic
Break-even avoided downstream events = First-year program cost ÷ direct value per avoided downstream event
Required attributable event rate = Break-even events ÷ addressable POCUS encounters

This is a threshold analysis, not a claim that POCUS will achieve the calculated rate. It lets an agency compare the required effect with its own QA/outcome data.

Planning estimate only. Results are not guaranteed financial savings and do not constitute medical, accounting, reimbursement, or protocol advice. The default financial scenario assumes only 10% of published destination changes create one avoided downstream transport/resource cycle; this is a conservative planning assumption, not a published POCUS avoidance rate, and should be replaced with local QA/outcome data whenever available. Local clinical governance, medical direction, scope of practice, and QA should govern implementation.