Auto-DelRAS: Automated Delirium Risk Assessment System

2018

An eleven-predictor EHR system that displays ICU delirium risk categories and was followed after implementation. It predicts future risk and does not replace direct delirium assessment.

Classification

Future-risk predictionUse in intensive care units

A tool may belong to more than one category. Select a linked category to see other relevant profiles.

Start here

Tool and original sources

This record describes a method rather than a downloadable bedside form. The main source is linked below.

Original paper

Principal sourceMoon KJ, Jin Y, Jin T, Lee SM. Development and validation of an automated delirium risk assessment system (Auto-DelRAS) implemented in the electronic health record system. International journal of nursing studies. 2018;77:46-53. doi: 10.1016/j.ijnurstu.2017.09.014. PMID: 29035732.
This paper reports the development and initial validation of Auto-DelRAS. It is the main source for the method, its intended use and the evidence available at publication.
Open PubMed ↗

No eligible DTA study identifiedRelated context

At a glance

Purpose: Future-risk prediction
Population: Adults admitted to medical and surgical intensive-care units
Setting: Intensive care
Time: automatically calculated from electronic health-record data
Items: 11
Score or threshold: System-specific risk categories; not a delirium diagnostic threshold

Evidence

Evidence maturityNo eligible DTA study identified

Reported sensitivity and specificity

88%

Sensitivity

72%

Specificity

One year after implementation; positive predictive value 53% and negative predictive value 94%.

More evidence and citation details

Full name: Automated Delirium Risk Assessment System
Evidence summary: development-external-validation-and-post-implementation-follow-up
Citation: Moon KJ, Jin Y, Jin T, Lee SM Development and validation of an automated delirium risk assessment system (Auto-DelRAS) implemented in the electronic health record system International Journal of Nursing Studies. 2018;77:46-53. PMID 29035732

Download RIS ↗ Download BibTeX ↗

Information checked: 2026-07-19

Instrument-specific terms apply. See the access and copyright policy or send a correction.

Sources checked 2026-07-29. How profiles are prepared.