These models estimate the chance of delirium developing in a defined population. They do not detect current delirium and are kept separate from bedside screening, diagnostic and severity instruments.
The collection is deliberately labelled selected rather than complete. Inclusion records a named model with reproducible inputs, peer-reviewed development and a defined target population, plus temporal or external validation or a public implementation where identified. It does not show that a model is suitable for a particular service, electronic record or patient.
PRE-DELIRIC delirium prediction model
Related contextA ten-predictor model estimating the probability of developing delirium during an ICU stay. It supports prevention planning and does not detect delirium already present.
Open profileAWOL delirium prediction rule
Related contextAWOL is a four-variable admission risk model for estimating which medical inpatients may develop delirium. It supports prevention planning; it does not detect current delirium.
Open profileEarly PRE-DELIRIC delirium prediction model
Related contextA nine-predictor admission-time model estimating delirium risk across an ICU stay. It is an earlier related model, not a bedside test for current delirium.
Open profileAutomated Delirium Risk Assessment System
Related contextAn 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.
Open profileBuffalo Delirium Scale
Related contextA home-hospice monitoring measure for changes that may precede delirium. It describes prodromal symptom frequency and does not establish a current DSM delirium diagnosis.
Open profileDYNAMIC-ICU delirium prediction rule
Related contextA seven-predictor dynamic ICU rule for estimating the risk of developing delirium during admission. It is a prevention and monitoring aid, not a current-delirium screen.
Open profileAge, WORLD backwards, Orientation, iLlness severity and Surgery-specific risk
Related contextA perioperative extension of AWOL that estimates postoperative delirium probability using age, brief cognition, illness severity and surgical risk. It predicts risk rather than detecting delirium.
Open profileMayo Delirium Prediction tool
Related contextAn automated 19-variable hospital risk model that estimates the probability of developing delirium. It supports prevention and systematic assessment; it does not detect delirium already present.
Open profileDELIrium risK Tool
Related contextA single-centre EHR-derived score for incident delirium risk in older non-ICU inpatients. It is a prediction model requiring external and implementation validation, not a current-delirium screen.
Open profilePre-Interventional Preventive Risk Assessment
Related contextAn international preoperative model estimating postoperative delirium risk before selected surgery. It is a risk calculation, not a test for delirium, and commercial relationships require transparent disclosure.
Open profileThe catalogue does not attempt to include every one-off regression, nomogram or machine-learning experiment. Submit a named model and its primary source through Contribute and corrections.