Dynamic Heart Failure Prediction With Real-time Functional Status Data in the Ambulatory Setting

Dynamic Prediction of Heart Failure Using Real-time Functional Status and Electronic Health Record Data in the Ambulatory Setting

Heart failure is the number one cause of hospital readmission in those over 65 years of age and the current standard-of-care of weight self-monitoring is inadequate to predict exacerbation. This project aims to improve the monitoring of heart failure disease progression through the use of real-time, up-to-date data obtained both from a smart phone-based tool and from the electronic health record. The goal is to develop a low-risk, clinically validated method to estimate dynamic heart failure risk to enable the provision of earlier, more effective outpatient interventions that decrease hospitalization.

Inclusion Criteria:

• Hospitalized for decompensated heart failure
• Age >=18 years
• Owns a smart phone
• Willing to measure self assess 6 minute walk test weekly

Exclusion Criteria:

• None