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Risk Code Definitions

PressureAI produces one of four risk scores per assessment, delivered directly into your Electronic Health Record. Each score and its clinical meaning is defined below.

For FHIR Integrators

Each code is embedded in the Observation.code.coding.code field of the FHIR Observation resource posted to the EHR. See FHIR Usage for the full resource structure.


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Low Risk

Low Pressure Ulcer Risk

The patient's current clinical profile - encompassing mobility, tissue perfusion, nutritional status, and relevant comorbidities - indicates a low probability of pressure ulcer development over the assessment window. Standard care and routine monitoring are appropriate. Clinicians should reassess if the patient's condition changes materially.

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Elevated Risk

Elevated Pressure Ulcer Risk

One or more risk factors - such as reduced mobility, compromised skin integrity, suboptimal nutrition, or haemodynamic instability - are present at levels that elevate the probability of pressure injury. Enhanced preventive measures should be considered and documented. Clinical judgement must be applied.

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High Risk

High Pressure Ulcer Risk

The patient's profile indicates a significantly elevated probability of pressure ulcer development. Multiple concurrent risk factors are identified. Immediate review by the clinical team is recommended to implement intensive preventive interventions in accordance with local wound-care and tissue-viability protocols. This output does not constitute a diagnosis.

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Insufficient Data

Insufficient Data for Assessment

The required minimum set of clinical data was not available within the defined temporal windows at the time of assessment. PressureAI did not produce a risk stratification for this encounter. Clinicians should apply standard care and manual risk assessment until sufficient data is available for the model to run.


Clinical Interpretation

PressureAI risk codes are decision-support outputs only. They are intended to supplement, not replace, clinical judgement. The model evaluates structured EHR data across rolling time windows and may not reflect the full clinical picture available to the bedside clinician.

Scores may update when newly available data enters the relevant time windows, for example, a laboratory result drawn near admission that is reported later, or a medication order entered retrospectively.