PrEDICT: Predicting Emergency department Delirium with an Interactive Computer Tablet

2019

A tablet-based serious game that records target-tapping speed and accuracy at four difficulty levels to flag unrecognised delirium in older emergency patients. Its sensitive threshold was derived in one cohort and had modest specificity.

Classification

Domain-specific or adjunctive measureCognitive tests designed for delirium

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Tool and original sources

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

Original paper

Original paperLee JS, Tong T, Tierney MC, Kiss A, Chignell M. Predictive Ability of a Serious Game to Identify Emergency Patients With Unrecognized Delirium. Journal of the American Geriatrics Society. 2019;67(11):2370-2375. doi: 10.1111/jgs.16095. PMID: 31355442.
This is the original published source for PrEDICT. It reported sensitivity of 100% and specificity of 59.7% against the study's independent clinical reference assessment.
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One DTA study identifiedEmerging clinical record

At a glance

Purpose: Domain-specific or adjunctive measure
Population: Adult
Setting: Emergency department
Time: brief tablet task; exact total completion time not reported
Score or threshold: Data-derived threshold; numerical value not reported in the accessible abstract

Format: PrEDICT presents target-tapping tasks of increasing difficulty and records time and accuracy automatically. The page should not invent the unpublished numerical threshold or represent the game as a complete diagnostic assessment.

Evidence

Evidence maturityOne DTA study identified

Reported sensitivity and specificity

Headline metric source

Original/source study · 2019 — pmid:31355442

Denominator: Reported source unit: 203 (analysis unit not fully reconciled)
Reference standard: Clinically unrecognized delirium comparator not fully described in the accessible original abstracts; concurrent measures explicitly include CAM and Delirium Severity Index, but the precise final reference process requires full-text confirmation

100%

Sensitivity

59.7%

Specificity

Threshold derived in the same emergency-department cohort; 16 unrecognised delirium cases

More evidence and citation details

Full name: Predicting Emergency department Delirium with an Interactive Computer Tablet
Also known as: PrEDICT serious game, Predict Emergency Delirium Interactive Computer Tablet
Evidence summary: derivation-only
Diagnostic-accuracy studies: 1
Reference standard: Clinically unrecognized delirium comparator not fully described in the accessible original abstracts; concurrent measures explicitly include CAM and Delirium Severity Index, but the precise final reference process requires full-text confirmation
Citation: Lee JS, Tong T, Tierney MC, Kiss A, Chignell M Predictive Ability of a Serious Game to Identify Emergency Patients With Unrecognized Delirium Journal of the American Geriatrics Society. 2019;67(11):2370-2375. PMID 31355442

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Information checked: 2026-07-19

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