CLINICAL EVIDENCE
The Science Behind CareCentra
Real-world clinical evidence from 1,200 patients at Intermountain Health validates what we set out to prove: continuous, connected care prevents hospitalizations and improves lives.
THE iCARE STUDY
Validating a New Model of Respiratory Care
The iCARE study (Intermountain COPD and Adult Asthma Remote Evaluation) is a 24-month clinical program running from March 2024 through March 2026 at Intermountain Health — one of the largest integrated health systems in the US.
The study tests whether AI-powered continuous monitoring, combined with human care teams, can shift respiratory care from reactive to predictive — catching exacerbations before they happen.
patients reported surveys analyzed
regional hospitals across IMH
FEV1 + PEF signals processed
nudges delivered
H/M alerts acted upon
PDNs cared for 1200 patients
KEY OUTCOMES
What the Data Shows
Interim results across 1,200 high-severity COPD and asthma patients.
Hospitalizations
reduction in inpatient encounters
3.27 → 0.93 per patient-year (p=0.0001)
Readmissions
reduction in 30-day readmissions
35% for COPD, 37% for asthma
Length of Stay
reduction in total inpatient hours
53% for COPD, 67% for asthma
Emergency Visits
reduction in ED encounters
Total Cost of Care
reduction in per-patient costs
$28,235 → $13,000 per patient-year (p=0.018)
Medication Adherence
daily controller adherence (COPD)
64% for asthma vs. 15-30% typical
SEVEN OBJECTIVES VALIDATED
What We Set Out to Prove
The iCARE study was designed to validate seven core hypotheses about continuous, connected respiratory care.
Predictive Intervention Works
Self-learning algorithms detect rising risk and trigger intervention before exacerbations escalate.
67% fewer hospitalizations
Multimodal Signals Outperform Single-Domain Monitoring
Integrating adherence, physiology, environment, and emotional health provides superior predictive capability.
Digital Health Twins Work at Scale
Real-time computational profiles can be deployed in routine clinical practice.
696 patients. Multiple sites.
Comprehensive Adherence Monitoring Is Possible
The platform captures technique quality, inspiratory flow, timing, and environmental context.
679 inadequate-flow alerts addressed
AI Augments Human Care
Pulmonary Disease Navigators use AI-generated risk signals to prioritise outreach.
Patients Engage — Even Older Adults
Engagement increases with age — older patients use the app more, not less.
Engagement increases by 0.40% for every additional year of age (p < 0.001).
Precision Nudging Shapes Behaviour
Personalised micro-interventions drive sustained behaviour change.
HOW THE PLATFORM COLLECTS DATA
Multimodal Risk Signals
CareCentra integrates data from multiple sources to build a complete picture of each patient's risk trajectory.
Connected Devices
Smart inhaler jackets track medication use, technique, and timing. Pulse oximeters capture oxygen saturation.
Environmental Data
Real-time air quality (PM2.5, ozone) integrated by ZIP code with patient alerts.
Patient-Reported Outcomes
CAT, ACT, PHQ-9, STOP-BANG captured via the app and incorporated into the digital twin.
Optional Wearables
Smartwatches, pedometers, and BP cuffs can feed additional data with consent.
PRECISION NUDGES IN ACTION
Examples of Adaptive Intervention
The platform delivers personalised nudges based on real-time signals — not generic reminders.
Inhaler technique correction
“Your inhaler technique looks a bit off today — want a 20-second refresher?”
Triggered by: Smart inhaler flow pattern anomalies
Environmental alert
“Air quality is dropping outside. Close windows and keep your rescue inhaler nearby.”
Triggered by: AQI data + geolocation
Early symptom detection
“Your breathing pattern looks tighter. Try a 2-minute paced breathing reset.”
Triggered by: Drop in HRV + increased respiratory rate
Adherence reminder
“Time for your controller inhaler — taking it now keeps symptoms from creeping up.”
Triggered by: Missed scheduled dose
RECOGNITION
Published and Peer-Reviewed
Behavioral Nudges as Patient Decision Support for Medication Adherence: The ENCOURAGE Randomized Controlled Trial
A unified health algorithm that teaches itself to improve health outcomes for every individual
Digital Health Approaches for Improved Population Health Outcomes
What's Holding Back Digital Transformation in Healthcare?
See the Evidence for Yourself
Download the full iCARE study results or schedule a conversation with our clinical team.