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CareSwift

AI scribe for Ambulance Reports

Summer 2025active2025Website
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Report from 17 days ago

What do they actually do

CareSwift builds an AI scribe that plugs into ambulance ePCR systems so medics can dictate and complete patient care reports as they work, instead of typing later. It ships as a plugin/web app with an agency login and includes a QA/compliance portal and support resources for rollout and training (platform; compliance portal; support).

In use, a medic speaks their narrative and CareSwift turns it into structured fields and a chart narrative, while prompting for missing assessments or procedures and checking against documentation standards and common billing rules. It flags likely errors in real time and then pushes the finished report back into the agency’s ePCR to avoid duplicate entry (platform; solutions).

Who are their target customer(s)

  • Frontline paramedics / EMTs: They spend significant time typing or re‑entering notes after a run, which pulls them from patient care and contributes to overtime. CareSwift converts spoken reports into structured charts and prompts for missing items in real time (platform).
  • Ambulance operations managers / chiefs: Incomplete or late charts slow reporting and create scheduling friction. The product is aimed at speeding chart completion and reducing the operational burden of chasing documentation (YC profile).
  • Billing / revenue cycle managers: Claims get denied or delayed when documentation is missing or inconsistent. CareSwift scans reports for billing‑rejection triggers and returns cleaner charts to the ePCR to reduce denials (platform; solutions).
  • QA/QI and compliance officers (including medical directors): Manual chart review is slow and inconsistent, raising regulatory risk. CareSwift provides real‑time validation against standards and a QA/compliance portal to surface documentation gaps (compliance portal; platform).
  • ePCR/IT administrators at agencies or vendors: Teams want to avoid duplicate entry and added tools that create integration headaches. CareSwift positions itself as a plugin integrated with existing ePCR workflows (platform).

How would they acquire their first 10, 50, and 100 customers

  • First 10: Run paid, time‑boxed local pilots with nearby municipal and private agencies, integrate as a plugin to their ePCRs, and show before/after QA metrics (chart time, missing fields) within 30 days; use YC/founder intros and on‑site demos to speed access to decision‑makers (platform; compliance portal; YC profile).
  • First 50: Replicate the pilot playbook across neighboring agencies with a 30–90 day integration/training checklist and billing‑denial scans, collect standardized outcomes for case studies, and add one regional sales hire focused on EMS associations and trade shows while deepening integrations with common ePCRs (platform; solutions).
  • First 100: Pursue channel partnerships and technical integrations with leading ePCR vendors for marketplace distribution and existing procurement lanes; in parallel, target county/state EMS and hospital system contracts with aggregated pilot ROI and a procurement‑ready security/compliance packet (platform).

What is the rough total addressable market

Top-down context:

CareSwift competes for EMS documentation/billing software budgets, a category commonly sized in the mid‑hundreds of millions of dollars in the U.S., with broader global emergency‑medical software projected in the low billions (market report example; global context).

Bottom-up calculation:

Unit TAM anchors: ~14,369 U.S. EMS agencies reporting to NEMSIS, ~282,900 paid EMTs/paramedics, and ~36.4M treated‑and‑transported 911 runs annually — each run produces a chart CareSwift could touch (NEMSIS 2023 report; BLS). Dollar TAM depends on pricing (per‑clinician, per‑agency, or per‑run).

Assumptions:

  • NEMSIS‑reporting agencies are a conservative proxy for ePCR‑enabled, serviceable U.S. agencies.
  • Only paid EMT/paramedic roles are counted for daily scribe usage; volunteers are excluded.
  • Pricing/contract model is not public, so revenue TAM is not computed without an assumed model.

Who are some of their notable competitors

  • ESO: Large ePCR/EHR vendor with an Auto‑Generated Narrative feature that drafts narratives and embeds QA inside its platform, reducing the need for an external scribe in ESO environments (press/blog).
  • ImageTrend: Established ePCR and data platform; its AI Assist automates parts of documentation and analytics within the native suite, competing via built‑in functionality rather than plugins (product page).
  • ZOLL (emsCharts): Longtime ePCR vendor; emsCharts includes mobile voice‑to‑text and guided charting tied to dispatch and billing, offering an integrated alternative to a standalone scribe (product page).
  • NarrateEMS: Voice‑first EMS tool that transcribes run dictation into NEMSIS‑compatible output and integrates with major ePCRs; closest in approach to CareSwift as a scribe‑style add‑on (site).
  • Twofold Health (EMS Chart Generator): AI narrative/chart generator with voice dictation and NEMSIS formatting; positioned as a standalone generator that can export to ePCR/EHRs rather than a deeply embedded ePCR plugin (product page).