NCT05865197RecruitingNot Applicable
Feasibility of Home-based, Ambient Passive Sensor Technology to Provide Early Warning of Health Decompensation by Detecting Deviations in Activities of Daily Living (ADLs) of Elderly Subjects With Diagnosed Chronic Heart Failure
Conditions
Trial Snapshot
- Phase
- Not Applicable
- Status
- Recruiting
- Sponsor
- Sensorum Health Inc.
- Enrollment
- 20
- Locations
- 1
- Primary Endpoint
- Recall of AI in passive sensor system
Study Overview
Brief Summary
Sensorum Health (Sensorum) is conducting a pilot study to determine if Sensorum's proprietary passive sensor network can be used to identify signals of early health decompensation in subjects prior to a hospitalization for chronic disease exacerbation or other ambulatory care sensitive conditions. Successful early detection would provide a window of opportunity to intervene outside of the acute setting in future interventional studies.
Study Design
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Prospective
Eligibility Criteria
- Ages
- 55 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •Current Patient at Weill Cornell Medicine
- •Aged 55 years or older
- •Able to consent
- •Documented diagnosis of congestive heart failure (CHF)
- •At least 1 of the following prior hospital utilization events in the past 12 months
- •Inpatient admission for any reason
- •Facility observation stay for any reason
- •Emergency Department visit for any reason
Exclusion Criteria
- •Significant cardiac valvular disease
- •End-Stage Renal Disease (ESRD)
- •End-Stage CHF
- •End-Stage COPD
Outcomes
Primary Outcomes
Recall of AI in passive sensor system
Time Frame: 6 months
Evaluation of AI ability to prospectively detect hospital utilization event
Precision of AI in passive sensor system
Time Frame: 6 months
Evaluation of AI ability to precisely predict hospital utilization event
Secondary Outcomes
- Recall of sensor data review by trained nurses(6 months)
- Precision of sensor data review by trained nurses(6 months)
Investigators
Study Sites (1)
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