What SOFUS does with these inputs

This page describes what SOFUS does conceptually with the inputs described earlier, without detailing internal algorithms or proprietary logic.

SOFUS is an analysis and interpretation service that operates on top of Journl Streamed. It consumes structured, time-stamped clinical data and transforms it into clinically meaningful signals with accompanying explanations that support situational awareness and decision-making.

From clinical data to clinical signals

SOFUS does not treat inputs as isolated data points. Instead, it interprets them as part of a continuous clinical context.

Using incoming observations and patient context, SOFUS:

• Aligns heterogeneous clinical inputs across time and source systems

• Interprets measurements relative to patient context (e.g. age, sex, care setting)

• Identifies meaningful changes in patient status over time

The output of SOFUS is not raw data, but interpreted clinical signals accompanied by explanations that describe why a signal is raised.

Temporal interpretation

Clinical relevance often depends on how values change, not only on absolute values.

SOFUS therefore performs temporal interpretation of inputs by:

• Relating observations to their timing and sequence

• Distinguishing between transient variation and sustained change

• Interpreting short-term and longer-term developments in parallel

Explanations generated by SOFUS explicitly reference temporal patterns (e.g. recent changes, sustained trends) rather than opaque scores.

Cross-domain interpretation

Many clinically relevant situations cannot be inferred from a single measurement.

SOFUS combines information across domains, such as:

• Vital signs and bedside measurements

• Laboratory results

• Patient context and care setting

By interpreting these inputs together, SOFUS can assess the overall clinical picture and provide explanations that reflect the contributing factors across domains.

Explanations and transparency

SOFUS is designed to support transparent clinical interpretation.

For each relevant signal or assessment, SOFUS provides explanations that:

• Reference the underlying clinical inputs

• Describe the observed changes or patterns

• Clarify how different inputs contribute to the assessment

These explanations are intended to support clinical understanding and trust, without exposing internal scoring logic or model details.

Clinical intent and use

The purpose of SOFUS is to support early recognition and continuous assessment of patient condition.

Typical use cases include:

• Detection of clinical deterioration

• Identification of emerging risk patterns

• Support for prioritization and escalation

• Continuous monitoring of response to treatment

SOFUS supports clinical workflows by combining signals and explanations, not by issuing prescriptive decisions.

Outputs and downstream use

The outputs produced by SOFUS consist of:

• Interpreted clinical signals

• Contextual explanations describing contributing factors

These outputs are intended for use by downstream systems and workflows, such as:

• Clinical decision-support interfaces

• Alerting or monitoring solutions

• Analytics and quality-improvement tools

SOFUS outputs are derived products and are not part of the Journl Streamed data model.

Scope and responsibility

• SOFUS performs interpretation, analysis, and explanation on top of this data.

• Clinical decisions remain the responsibility of healthcare professionals.

SOFUS is designed to be adaptable to different clinical settings and workflows. Its behavior and outputs are always evaluated and configured in collaboration with clinical stakeholders.