Huma (formerly Medopad)

Patient is enrolled in Huma post-discharge.

Daily biometric tasks (HR, BP, Pain score) are completed via app.

AI detects an abnormal trend in resting heart rate.

Clinical dashboard alerts the care team immediately.

Telehealth consultation is scheduled before complication becomes critical.

Digital recruitment and eConsent via Huma app.

Participants receive connected home devices.

Continuous ECG and activity data streamed to researchers.

Real-world data analyzed for safety and efficacy endpoints.

Regulatory reports automatically generated for submission.

Patient tracks daily weight and symptom data.

Weight gain exceeding threshold triggers a 'Yellow' alert.

Huma AI provides patient with immediate medication adjustment instructions (physician-pre-approved).

Care manager reviews the automated action in the portal.

Patient performs a 2-minute walking test at home using smartphone sensors.

Huma AI extracts gait digital biomarkers (cadence, stride length).

Neurologist reviews longitudinal gait trends in the clinician portal.

Medication dosage is titrated based on objective motor data.

Health system ingests population-level data into Huma Cloud.

Predictive models identify patients at risk of chronic kidney disease.

Targeted digital health interventions are launched for at-risk cohorts.

Outcomes are tracked to measure intervention efficacy.