CareSwift

AI scribe for faster EMS documentation

Dover, Delaware, United States

Clinical Documentation Emergency MedicineSeed

CareSwift builds an AI-powered documentation platform for emergency medical services (EMS) workflows. The platform provides a real-time AI-guided conversation system for EMS report documentation and AI-powered quality assurance and quality improvement chart review.

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✓Source: HealthTech Alpha by Galen Growth

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Check out CareSwift on @MedStartr Today CareSwift builds an AI-powered documentation platform for emergency medical services (EMS) workflows. The platform provides a real-time AI-guided conversation system for EMS report documentation and AI-powered quality assurance and quality improvement chart review. #EmergencyMedicalServicesEMS #ClinicalDocumentation #EmergencyMedicine #MedMo #MedStartrVentures

https://www.medstartr.ai/s/cpfh-9U9lRw

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How We Help

Problem Statement

Emergency medical services (EMS) workflows suffer from inefficient and error-prone documentation, leading to administrative burden and difficulties in ensuring quality assurance and improvement in chart review.

Core Technology

AI-powered documentation platform, real-time AI-guided conversation system, AI-powered quality assurance and quality improvement chart review

Key Differentiators

Platform integrates with electronic patient care report (ePCR) systems via plugin; Offers real-time AI-guided conversation system for EMS report documentation; Provides AI-powered quality assurance and quality improvement chart review analyzing 100% of ePCRs in real time

Clinical Focus

emergency medical services (EMS)

Company Info

Business Model: SaaS
Founded: 2025
Total Funding: Only accessible to MedStartr community members. Join now
Only accessible to MedStartr community members.
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Website: careswift.com/

Disease Areas

Emergency Medical Services (EMS)

Technologies

AI & Machine Learning

Clinical & IP

🔬

Clinical Validation

No formal clinical trials or FDA approval. Platform focuses on compliance validation and billing accuracy. Security: HIPAA-compliant, AWS infrastructure, external Vanta certification.

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MedStartr Engagement Score

The MedStartr Index is a reflection of how the crowds that come to MedStartr everyday to find healthcare innovations reacted. Calculated by our AI agent Fyggy based on algorithms we have been building since 2012 and over 100 different factors, the math is proprietary and complex. Suffice to say, it has been found to be highly correlative with early stage company growth. What you see here is the public version. To learn more or to get deeper access to our predictive data on startup success for your fund or company, click here.

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A HUGE part of what early stage companies, and even late stage ones, need and get on MedStartr is honest feedback from actual patients, clinicians, hospital leaders and industry insiders. It is very easy to get tunnel vision as a founder. Please tell the team that runs this company what you think.

Clinical Benefit Potential

The potential for a project to have a large and significant impact on medical care, treatment, or prevention.

Feasibility

The likelihood that this will provide benefit for patients / care givers and that the founders can execute on their vision and plan.

Innovativeness

The distinguishing features, concept, or technology that differentiates the entry compared to others that already exist and are in widespread use.

Fundability

The reviewers' beliefs that the idea is fundable or can make it to sustainability without outside investment.

Scalability

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