HealthcareAI Services

AI-Powered Remote Patient Monitoring

Wearable monitoring, predictive alerts and FHIR links to Epic and Cerner for a US digital health startup.

Key Details

Challenge	A US digital health startup focused on chronic disease needed wearable data, predictive alerts and a path into hospital EHRs.
Solution	Wearable integration, predictive machine-learning alerts, FHIR integration with Epic and Cerner, a patient app, a physician dashboard and HIPAA scope.
Technologies	NestJS, GraphQL, React Native, TensorFlow, scikit-learn, AWS, Kubernetes, Terraform

Technologies used

NestJSGraphQLReact NativeTensorFlowscikit-learnAWSKubernetesTerraform

Client

The client is a US digital health startup working on chronic disease. Patients and physicians use separate apps, with alerts driven from wearable data and the record written back through FHIR.

Product screenshots

Light clinical web dashboard with a patient list ranked by alert risk on the left, the selected patient's vitals tiles for heart rate, blood pressure, oxygen, weight and steps, a 14-day weight chart crossing a dashed threshold, an AI alert card listing contributing signals, and a right panel showing FHIR sync status and care-team tasks. — Physician dashboard: wearable readings for a chronic-care panel, with a predictive alert that explains which signals moved and a chart note ready to write back to the EHR over FHIR.

Dark navy and teal composition with a patient phone app showing today's readings, a care-team message asking for a symptom check-in, a medication schedule and connected devices, next to a smartwatch face with heart rate and a second phone showing a short symptom questionnaire. — Patient side: the phone app collects readings from the watch and home devices, shows today’s check-in and medications, and passes on a note from the care team after an alert.

What we built

Wearable integration
Predictive machine-learning alerts
FHIR EHR integration with Epic and Cerner
Patient app
Physician dashboard
HIPAA requirements

Engagement

Delivery was time and materials with 10 engineers over 24 months.

Project team: 10 engineers. Duration: 24 months. Model: Time & materials.

Services used

AI Services →DevOps →AI-Software Development →

Industries

Healthcare →