Detection of Delirium in Hospitalized Patients Using Video-monitoring (P10-2.011)

Sahithi Gangavarapu; Shreya Dhar; Catherine Zhao; Ian Sherrington; Eyal Kimchi

doi:10.1212/wnl.0000000000215808

June 9, 2026Neurology

Detection of Delirium in Hospitalized Patients Using Video-monitoring (P10-2.011)

View Full Paper

Ask AI

Bookmark

Share

Key Points

The study aims to develop efficient markers of delirium using video monitoring to capture patient behaviors and environmental factors.
Used video monitoring to observe hospitalized patients' behaviors and environmental characteristics.
Identified and analyzed patterns related to delirium symptoms.
Focused on developing predictive markers for delirium based on observational data.
Identified specific behaviors and environmental factors strongly associated with delirium.
Developed potential markers for delirium detection, improving identification efficiency.

Implication

Investigates delirium markers in hospitalized patients, suggesting new identification methods.

Abstract

This study aimed to use video monitoring to identify patient behaviors and environmental characteristics associated with delirium to develop efficient markers of delirium.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Gangavarapu et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf32afaef96ed7f055a1f https://doi.org/10.1212/wnl.0000000000215808

View Full Paper

Ask AI

Bookmark

Share

Detection of Delirium in Hospitalized Patients Using Video-monitoring (P10-2.011)

Key Points

Implication

Abstract

Discussion

Cite This Study

Detection of Delirium in Hospitalized Patients Using Video-monitoring (P10-2.011)

Key Points

Implication

Abstract

Discussion

Cite This Study

Keep reading

Keep reading