Operations¶

HealthData.ai is operated for long-term use in clinical and research-oriented environments. The focus is on stable, traceable, and scalable platform operations.

Operating Model

In addition to cloud operation, on-premises deployment at the customer site is also possible.

Monitoring and Operations¶

Platform operations are continuously monitored.

Capabilities:

real-time monitoring of central services and interfaces
automated alerts for critical events
structured incident and escalation processes

Backups and Disaster Recovery¶

A comprehensive backup and recovery concept ensures data availability.

Measures:

regular backups
Write-Ahead Logging (WAL)
offsite storage
air-gapped backup strategies
regular restore tests

Updates and Releases¶

HealthData.ai is continuously developed and delivered in structured release cycles.

regular release cycles
planned maintenance windows
continuous platform improvement

Onboarding and Training¶

The introduction of HealthData.ai follows a structured and guided approach.

train-the-trainer approaches
targeted training for different user groups
implementation support for organizations and networks

Documentation¶

integrated end-user documentation within the platform
technical documentation for developers and administrators
continuous content updates