AI-powered chronic disease management platform concept
What this concept would cover
Wearable vitals ingestion, per-patient anomaly detection, clinician alert dashboard
The Challenge
A health-tech startup needs a GDPR-compliant platform that can ingest wearable vitals data and flag deterioration before hospitalisation. Existing tools are reactive, not predictive.
The Solution
Ubikon would build a Flutter patient app + Python ML pipeline that ingests Bluetooth vitals, trains per-patient anomaly models, and alerts clinical staff via a web dashboard, integrating with existing EHR via HL7 FHIR.
Requirements
GDPR/HIPAA compliance mapping, EHR integration spec, ML data pipeline design.
Data Engineering
FHIR data ingestion, vitals normalisation pipeline, labelled training dataset creation.
Model Development
Per-patient anomaly detection models with explainability (SHAP values).
App & Dashboard
Flutter patient app with BLE device pairing; React clinical dashboard with alert management.
Compliance & Launch
MDR compliance review, penetration test, phased rollout across partner clinics.
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