iCAM-ICU — intelligent Confusion Assessment Method for the Intensive Care Unit

What this tool is and how to interpret its evidence

iCAM-ICU expands to intelligent Confusion Assessment Method for the Intensive Care Unit. It is an information-technology-enabled implementation designed to standardise CAM-ICU data collection and help nurses apply the assessment reliably in routine adult intensive care. It should be treated as a digital version within the CAM-ICU family, not as an unrelated instrument. The validation abstract does not report a stable completion time. Training and local implementation remain relevant even though the electronic workflow provides guidance.

Yang and colleagues evaluated iCAM-ICU prospectively in two phases at one university-affiliated Chinese hospital, enrolling 373 patients: 181 in phase I and 192 in phase II. Two nurse researchers used it in the first phase and 24 bedside nurses in the routine-practice phase, with DSM diagnosis as the reference. Research-nurse sensitivities were 95.2% and 93.7% and specificities 93.3% and 93.2%; bedside-nurse sensitivity was 86.7% and specificity 97.7%. This design offers useful implementation evidence, but it remains one centre and one published programme.

The page should name both phases and avoid presenting only the highest estimate. It should also distinguish improved standardisation from proof of universal transportability. Sedation, language, neurological deficits and local training can affect performance. Because the workflow depends on CAM-ICU operational content, the commentary must remain high level and link to the primary study and authorised CAM-ICU resources rather than reproduce feature wording or the decision rule.