Artificial Intelligence Mobile Health Trial Of A Digital Platform To Optimize Guideline Directed Heart Failure Therapy Using Wearable Sensors
Artificial Intelligence Mobile Health Trial Of A Digital Platform To Optimize Guideline Directed Heart Failure Therapy Using Wearable Sensors
The goal of this real-world, multi-center, randomized, outpatient study is to assess the effectiveness of the Biofourmis cloud based BiovitalsHF platform to recommend optimal titration of Guideline-Directed Medical Therapy (GDMT) for heart failure with reduced ejection fraction (HFrEF) subjects.
Patients with heart failure (HF) remain at high risk for hospitalization and death in part due to underuse of guideline directed medical therapy (GDMT). Digital interventions may facilitate rapid initiation, titration and optimization of GDMT but have not been systematically evaluated in randomized control trials. In the AIM-POWER study, we evaluated the safety and efficacy of a novel software medical application, BiovitalsHF, as a strategy to guide remote optimization of GDMT in patients with HF with reduced ejection fraction (HFrEF).
Inclusion Criteria:
Subjects are eligible to be included in the study only if all the following criteria apply:
Participant not on optimal GDMT for HFrEF per investigator judgement. This would include patients ranging from no treatments for HFrEF to a patient on multiple GDMTs for HFrEF but with at least 1 medication at 50% or less than target dose.
Exclusion Criteria:
Subjects are excluded from the study if any of the following criteria apply:
Therapy related