for people ages 18 years and up (full criteria)
at San Francisco, California
study started
estimated completion
Jeff Olgin, MD



The HOME PREDICT HF study looks at new ways to predict hospitalizations for heart failure. We will use a set of devices at home and surveys to collect information about patient's health. This study uses the Eureka app, a new study app developed by the University of California, San Francisco. The study is designed to happen remotely, using this application on a patient's smartphone, so that is as convenient as possible to participate.

Official Title

Home Outpatient Monitoring and Engagement to Predict HF Exacerbation (HOME PREDICT-HF)


HOME PREDICT HF is single center, prospective, unblinded, randomly assigned training and validation observational cohorts to develop machine learning algorithms from an in-home suite of sensors in order to predict 3-month heart failure hospitalization and/or emergency department visits. Study population includes adults presenting with a diagnosis of reduced ejection fraction (LVEF <= 40%), NYHA class II-IV) who have had a hospitalization for HF in the previous 6 months. The study objectives include (1) To collect observational data from multiple sensors, patient-reported outcomes, and medical record data to develop (train) machine-learning algorithms (2) To validate trained algorithms in a separate validation cohort (3) To collect data to inform the design of a future intervention study. The primary outcome is Ninety-day heart failure hospitalization/emergency department visit for heart failure.


Heart Failure With Reduced Ejection Fraction hospitalization Heart Failure Training Set Validation Set


You can join if…

Open to people ages 18 years and up

  1. Outpatient and cared for by a PINNACLE Registry practice
  2. Age ≥ 18 years old
  3. Has a diagnosis of HF in the PINNACLE Registry/Medical Record
  4. Seen by PINNACLE practice within the last 12 months
  5. Has an LVEF ≤40% on their last data entry (within 1 year) in the PINNACLE Registry
  6. NYHA Class II-IV by self-report
  7. Has had a hospitalization for HF in the previous 6 months by self-report
  8. Owns an Android or iOS smartphone, within Verizon cellular coverage zone in order to allow for data submission.
  9. Sleep in the same bed at least 5 days per week
  10. . Willingness to complete the required surveys, measurements and study activities.

You CAN'T join if...

  1. Home oxygen use
  2. Current or planned ventricular assist device
  3. Previously or currently on a heart transplant list
  4. Chronic dialysis
  5. A diagnosis of any cancer and undergoing active treatment
  6. In hospice or palliative care
  7. Planned surgery/procedure in the next 3 months
  8. Planned extended time away from home (>2 weeks) in the next 3 months
  9. Living in a skilled nursing facility or other chronic care facility
  10. . Pregnancy or planned pregnancy in the next 3 months
  11. . Inability or unwillingness to consent and/or follow requirements of the study


  • University of California, San Francisco
    San Francisco California 94105 United States

Lead Scientist

  • Jeff Olgin, MD
    CLINICAL INTERESTS: Dr. Olgin is a Cardiologist and a Cardiac Electrophysiologist. His main clinical interests include conduction disorders, arrhythmias, catheter ablation, implantable devices—pacemakers and defibrillators, atrial fibrillation, atrial flutter, ventricular tachycardia, sudden death and supraventricular tachycardia.


accepting new patients by invitation only
Start Date
Completion Date
University of California, San Francisco
Study Type
Last Updated