INDUSTRY 07

Healthcare & Medical Technology.

Medical technology generates more data per device per day than most companies generated in a year a decade ago. The opportunity — and the regulatory weight — is unmatched.

Sub-sectors

EHR integration · IoT MedTech · Clinical dashboards

Engagements

Specializations

DACH

Status

Actively serving

— Common business problems

What healthcare and MedTech leaders bring to us.

Recurring patterns we see across diagnostic centers, hospitals, MedTech operators and care providers. Each is fixable with the right architecture and operational analytics.

Problems we solve

Device utilization unclear across sites
Manual appointment and capacity planning
Clinical and operational data separated
Cancellations and blocked slots not analyzed
EHR, IoT, ERP and scheduling not connected
Management reports arrive too late

Solutions we build

Medical operations dashboard
Device capacity cockpit
Predictive calendar & load forecasting
EHR / IoT / ERP integration layer
Clinical KPI reporting
Operational alert systems
Staff & capacity analytics

Example KPIs

Device utilization, weekly examination volume
Appointment cancellations & blocked slots
Patient volume, waiting time
Staff capacity & load
Revenue per device, revenue per site
Private-patient share, no-show rate

Discuss healthcare analytics →

— Common challenges

What healthcare leaders bring to us.

Recurring patterns across engagements. Each is solvable. None is solved by a slide deck alone.

Device telemetry at scale
EHR integration and clinical dashboards
Anomaly detection on safety-critical data
Data security and HIPAA/GDPR compliance

— Case studies

Selected work in Healthcare & Medical Technology.

Engagement details below. Specific clients, financials and architecture diagrams shared under NDA.

Medical Technology · 2024–Present

MS Fabric Data Mesh and Lakehouse

MS Fabric · Power BI · Power Apps · Power Automate · Jedox

Developed a Data Mesh and Datalakehouse using MS Fabric. Technical implementation of MS Fabric, including governance and IT workflow. Designed DWH and Lakehouse using the Medallion architecture. Built reports and dashboards for aggregated and live data using Power BI. Implemented user permission concepts and data security in MS Fabric. PoC: IoT analytics in MS Fabric for medical devices. Developed an asset management tool for IT equipment using Power Apps.

Single platform for clinical, operational and IoT analytics. Data security and governance built in from day one.

Medical Technology · 2019

IoT data lake with anomaly detection

Azure Datalake · Azure ML · Databricks · Python · Power BI

Built an Azure Data Lake for IoT data. Designed visualization concepts. Implemented anomaly detection ML models. Created visual alerting systems.

Field telemetry surfaced to clinical operations. Alerting reduced time-to-detection.