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Lucia

Lucia offers a mobile application that uses AI to interpret 12‑lead EKGs for rapid atrial fibrillation diagnosis at the point of care. The platform integrates up‑to‑date societal guidelines—or a hospital’s own protocols—to guide discharge therapy and includes a transitions‑of‑care portal that hands patients off to the appropriate long‑term provider, improving outcomes and care coordination.

San Diego, United StatesFounded 20173300+ followers
Updated 1 month ago

Funding

$100K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Many patients with atrial fibrillation (AFib) are not placed on guideline‑recommended anticoagulation or other preventive therapies, leading to high rates of stroke, readmission, and mortality. Emergency department clinicians often lack a rapid, integrated tool to diagnose AFib from a 12‑lead ECG and immediately apply up‑to‑date treatment protocols.

Solution

Lucia offers a mobile application that uses artificial intelligence to interpret 12‑lead ECGs at the point of care, delivering an immediate, clinically actionable AFib diagnosis. The platform incorporates the latest society guidelines—or a hospital’s own protocols—to generate a treatment recommendation that aligns with evidence‑based anticoagulation and rhythm‑control strategies. After prescribing therapy, Lucia’s transitions‑of‑care portal automates handoff to the appropriate long‑term provider, ensuring continuity and adherence to the care plan. The solution aims to improve patient outcomes, meet quality metrics, and streamline care coordination for AFib management.

Target Audience

Primary users are emergency physicians, hospitalists, and other acute‑care clinicians who need rapid AFib diagnosis and guideline‑based treatment at the bedside, as well as cardiology and primary‑care providers responsible for ongoing AFib management.

Features

  • AI‑driven analysis of 12‑lead ECGs providing real‑time AFib detection
  • Built‑in treatment engine that applies current societal guidelines or customizable hospital protocols
  • Automated prescription workflow that suggests guideline‑based anticoagulation and other therapies
  • Transitions‑of‑care portal that securely transfers patient information to the designated long‑term provider
  • Mobile‑first interface designed for use in emergency departments and other point‑of‑care settings
  • Continuous updates to the guideline database to reflect evolving clinical recommendations
This profile is AI-generated and may contain inaccuracies.