SOLUTION

With Lucia’s Mobile Application*, clinicians can quickly diagnose AFib, assess patient’s risk of stroke, and develop a guideline-based treatment plan, all at the point-of-care.

Lucia’s proprietary machine learning algorithms have been trained by experts in Cardiac Electrophysiology, providing all clinicians an advanced reading of the EKG.

Our treatment engine is based on nationally recognized guidelines or can incorporate existing hospital protocols for AFib management, giving providers confidence that patients are safely discharged on appropriate therapy.

We know discharging patients on proper therapy is not enough without proper follow on care. Lucia’s browser-based Transitions of Care Portal* gives staff a simple platform to monitor patient safety and prescription compliance until patients make it to their follow up appointment.

Machine Learning

Lucia employs the latest in machine learning to analyze EKGs at the point-of-care*. Our algorithms have been trained by experts in Cardiac Electrophysiology.

We believe advanced analytics can be more accurate and faster than the human eye and provide more actionable data. Timely diagnosis is the first step in efficiently managing AFib.

Guideline-based Care

We agree with the American Heart Association that patient outcomes improve when medical professionals follow the most up-to-date evidence-based treatment guidelines.

Learn more at Get with the Guidelines® AFib

Features & Benefits

IMPROVE PATIENT OUTCOMES

Patients presenting to the ER with AFib may be unaware they are living with the condition. Getting them to understand the risks, initiated on proper therapy, and into the hands of the right long-term care provider can greatly reduce the risk of stroke.

IMPROVE QUALITY MEASURES

The associated symptoms and complications of AFib are a leading cause of hospital readmissions. Ensuring patients are properly treated, aware of their AFib, and in the hands of a long-term care provider can prevent costly readmissions.

IMPROVE CARE COORDINATION

Our cloud-based solution allows clinicians within the health system to easily and efficiently review patient cases. Our transitions of care portal makes it easier to refer patients to long-term care practitioners within the health system.

IMPROVE PATIENT OUTCOMES

Patients presenting to the ER with AFib may be unaware they are living with the condition. Getting them to understand the risks, initiated on proper therapy, and into the hands of the right long-term care provider can greatly reduce the risk of stroke.

IMPROVE QUALITY MEASURES

The associated symptoms and complications of AFib are a leading cause of hospital readmissions. Ensuring patients are properly treated, aware of their AFib, and in the hands of a long-term care provider can prevent costly readmissions.

IMPROVE CARE COORDINATION

Our cloud-based solution allows clinicians within the health system to easily and efficiently review patient cases. Our transitions of care portal makes it easier to refer patients to long-term care practitioners within the health system.

Patient with potential AFib checked into the ER

LUCIA APP*

Confirm AFib, probability of stroke, & treatment plan  

Patient discharged with referral and guideline therapy plan

LUCIA PORTAL*

Ensure patient safety, compliance, & care transition​

Patient managed by appropriate long-term care provider

Patient with potential AFib checked into the ER

LUCIA APP*

Confirm AFib, probability of stroke, & treatment plan

Patient discharged with referral and guideline therapy plan

LUCIA PORTAL*

Ensure patient safety, compliance, & care transition

Patient managed by appropriate long-term care provider