Data Intelligence

Decision
Analytics Core

The Analytics module is the hospital's predictive mind. It transforms raw operational logs into high-fidelity institutional foresight.

Data Synthesis Cycle

Maintaining absolute institutional transparency through automated real-time report builder precision.

1

Point Ingestion

Real-time stream from clinical and fiscal nodes.

2

Flattening Logic

Synthesis of relational data into flattened analytical ready-states.

3

Visual Synthesis

High-fidelity chart and dashboard generation.

4

Export Protocol

High-velocity CSV, Excel, or PDF extraction.

Analytics
Architecture

HMIS Pro uses a high-performance "Flattening Engine" to merge complex clinical relations into singular analytical records. This ensures extreme report generation speed for multi-million record datasets.

Technical Architecture

FieldTypeInstitutional Role
event_keyUUIDUnique analytical record identifier.
dimension_dataJSONBFlattened mapping of clinical and fiscal attributes.
sync_latencyIntTime-delta from clinical action to report availability.
is_anonymizedBooleanPII protection state for research exports.

Note: Data is subject to Enclave AES-256 field-level encryption where applicable.

Governance & Power

analytics:view
reports:export
fact:rebuild

Institutional Logic

  • Report Builder Logic

    Users can drag-and-drop any clinical or fiscal field into a custom export grid. The system auto-resolves joins to maintain performance integrity.

  • Predictive Vitals

    Historical triage and surgical outcome data is piped through our AI engine to identify high-risk institutional trends before they escalate.

  • Research Export

    Exports for scholarly research automatically strip all PII (Personal Identifiable Information), replacing MRNs with ephemeral research-ids.

Throughput: AnalyticalFact rebuild syncs at < 30s intervals.