# Record metrics request_counter.inc() mlhbdapp.Gauge("inference_latency_ms").set(latency * 1000) mlhbdapp.Gauge("model_accuracy").set(0.92) # just for demo
The is designed to digitize the workflow of patient care involving bedside monitoring and laboratory diagnostics. The "New" iteration focuses on upgrading the legacy system to a cloud-native architecture, enabling better scalability, real-time data processing, and remote accessibility.
Previously, MLHBDAPP was a monolithic application. The new version introduces a plugin architecture. Users can now install mini-apps within MLHBDAPP, such as a PDF editor, a QR code generator, or a VPN client, directly from the in-app Plugin Store. This keeps the core app lightweight (under 45 MB) while allowing infinite expandability.
# Record metrics request_counter.inc() mlhbdapp.Gauge("inference_latency_ms").set(latency * 1000) mlhbdapp.Gauge("model_accuracy").set(0.92) # just for demo
The is designed to digitize the workflow of patient care involving bedside monitoring and laboratory diagnostics. The "New" iteration focuses on upgrading the legacy system to a cloud-native architecture, enabling better scalability, real-time data processing, and remote accessibility.
Previously, MLHBDAPP was a monolithic application. The new version introduces a plugin architecture. Users can now install mini-apps within MLHBDAPP, such as a PDF editor, a QR code generator, or a VPN client, directly from the in-app Plugin Store. This keeps the core app lightweight (under 45 MB) while allowing infinite expandability.