Dispatch & revenue intelligence for EMS

Find the signal in every 911 call, transport, and claim.

Sparse is the operating layer for ambulance services — predicting response times from live traffic and hospital capacity, watching protocol compliance in real time, and fixing the billing errors that quietly drain 30–40% of agency revenue.

The problem

EMS agencies run on thin margins and thinner data.

Dispatch decisions are made on incomplete traffic and hospital information. Documentation happens in the back of a moving ambulance. And the revenue cycle that funds it all leaks at every handoff — from PCR to coder to payer.

30–40%
of EMS revenue lost to billing and coding errors, denials, and missed Medicare/Medicaid documentation requirements.
~9 min
national median response time for high-priority calls — and most agencies can't say in advance which units will miss it.
1 in 5
ED diversions and capacity issues that dispatch never sees until a crew is already en route.
How sparse works

One layer across dispatch, care, and billing.

Sparse sits underneath your CAD and ePCR systems, pulling in live traffic, hospital capacity feeds, and clinical documentation to close the loop from call to claim.

DISPATCH

Smarter unit assignment

Combines live traffic conditions with real-time hospital ED capacity and diversion status to recommend which unit to send and which facility to route to — before the crew leaves the bay.

RESPONSE TIME

Response time prediction

Models expected response times per call using historical patterns, current road conditions, and crew location, flagging calls at risk of missing contractual or regulatory benchmarks.

COMPLIANCE

Clinical protocol monitoring

Checks ePCR documentation against agency and regional protocols in near real time — medication dosing, time-critical interventions, required vitals — surfacing gaps while the call is still fresh.

REVENUE CYCLE

Billing & Medicare/Medicaid coding

Reviews every PCR for coding accuracy, medical necessity documentation, and modifier correctness before submission — catching the errors that turn into denials, recoupments, and write-offs.

Founder

Built by someone who's looked at the claim queue.

KM

Kuber Mehta

Founder, Sparse

Kuber started Sparse after seeing how much of an EMS agency's operating budget gets eaten by problems that are invisible until the EOB arrives — a missed signature, an undocumented mileage field, a unit sent to a hospital already on diversion.

Sparse is built around a simple idea: the data needed to fix dispatch, compliance, and billing already exists inside an agency's systems — it's just sparse, scattered, and arriving too late to act on. Pulling it together in real time turns it from a reporting problem into an operating advantage.

EMS operations Healthcare data Revenue cycle
Get in touch

Run a pilot with your fleet.

If your agency is losing revenue to denials, missing response time targets, or flying blind on hospital capacity — let's talk about what Sparse can show you in the first 30 days.