An AI-powered app co-created in Utah is changing how care teams help patients with chronic lung disease. By monitoring patients around the clock between doctor visits, the platform uses predictive analysis to flag early signs of decline — enabling clinicians to intervene before a crisis hits.
The segment shows how Bluetooth-connected devices — including inhaler sensors, an FEV1 meter capturing 19 data points, and a pulse oximeter — feed continuous readings into the app. When lung function drops by 10%, the system automatically alerts both the patient and their pulmonary disease navigator. Patients also report daily symptom scores, creating a comprehensive picture of their respiratory health between clinic visits.
The embedded AI motivates patients, reinforces medication adherence, and provides real-time feedback. On the clinician side, a dashboard surfaces trending data and highlights patients who need attention, enabling early interventions like coordinating antibiotics before a hospitalization becomes necessary.
Key outcomes reported: a 57% decrease in direct cost of care (from $37,000 to $16,000 per patient per year) and a 73% drop in observation bed use. Based on these results, the program is now being expanded from five hospitals to become the standard of care across the entire Intermountain Health system.