for people ages 18 years and up (full criteria)
study started
estimated completion:



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.


NYHA Class II-IV Heart Failure LVEF Heart Failure Observational 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


not yet accepting patients
Start Date
Completion Date
University of California, San Francisco
Study Type
Last Updated
March 20, 2018