Real-time diabetes data, one secure record
Unifying patient devices, manual entries and clinician oversight in a single cloud platform
2024
Multi-phase delivery
HealthTech / Diabetes Management
Starting position
Approx. budget
50,000 – 199,999 €
Budget bucket per Clutch.co project cost category. Exact figures under NDA.
4-phase delivery
Multi-phase
- 1
Phase 1
Discovery, clinical workflow research, security baseline
- 2
Phase 2
Platform architecture, device integration spec, role model
- 3
Phase 3
Core patient record, real-time sync, role-based access
- 4
Phase 4
Beta with clinical partners, audit and production rollout
Fragmented diabetes data across devices and channels
Patients managing diabetes typically juggle continuous glucose monitors, glucometers, food logs and paper notes - none of which sync. Clinicians see only snapshots during appointments, making long-term decisions difficult.
Glucose readings live in proprietary device apps with no shared view
Manual entries (meals, insulin, activity) often stored in separate notes
Clinicians lack a continuous longitudinal record between visits
Sensitive health data requires strict access control and auditability
Unified patient record with role-based access
We built a secure cloud platform that ingests device readings, accepts manual entries, and exposes role-scoped views for patients, family caregivers and clinicians.
Real-time data sync
Device readings and manual entries propagate to all authorised viewers within seconds.
Role-based access
Granular permissions separate patient, caregiver and clinician views with full audit logging.
Longitudinal record
Continuous timeline of readings, meals, insulin and notes - not just appointment snapshots.
Privacy-by-design
Encrypted storage, GDPR-aligned data handling and explicit patient consent flows.
How the patient + clinician offering changed
Capabilities reframed end-to-end so glucose data becomes a continuous shared record rather than scattered snapshots.
Data location
Before
Locked in proprietary device apps
After
Unified cloud record across devices
One shared source of truth for patient, caregiver and clinician.
Clinical visibility
Before
Snapshots during appointments
After
Continuous longitudinal record
Decisions based on trends, not point-in-time readings.
Access model
Before
Paper notes + scattered apps
After
Role-based, audited views
Right person sees the right data with traceability.
Privacy posture
Before
Ad-hoc storage and sharing
After
Encrypted + GDPR-aligned by design
Health data handled to the standard the regulation demands.
A single record replacing four fragmented systems
The platform consolidated glucose readings, meal logs, insulin tracking and activity data from separate apps into one continuous, clinician-accessible record — with a personalized ML model at its core.
Patient data sources
Before
4+ separate device apps
After
1 unified timeline
At platform launch
Clinical visibility
Before
Snapshots at appointments
After
Continuous real-time record
For authorised clinicians
Personalised ML model
Before
No predictive capability
After
AI prediction model per patient
Diary entries required to activate
Access roles supported
Before
No structured access model
After
Patient · Caregiver · Clinician
With full audit logging
