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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

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Cloud-Enabled Mobile-Based Approach for Enhancing Psychosis Cognitive Assessment.

Shilpa Walia¹, Neelesh Kumar^1,2, Praveen Kumar Khosla³

¹Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.

Early Intervention in Psychiatry

|October 15, 2024

Summary

This summary is machine-generated.

A new digital tool, the Cognitive Assessment Digital Smart Tool (CADST), shows promise for efficiently assessing attention and working memory in patients with schizophrenia. It correlates well with established measures and offers valuable time-based data for cognitive evaluation.

Keywords:

attention cognitive screening digital tool psychosis schizophrenia working memory

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Area of Science:

Neuroscience
Digital Health
Psychiatry

Background:

Cognitive deficits are a core feature of schizophrenia, impacting daily functioning.
Traditional cognitive assessments can be time-consuming and lack objective, real-time data capture.

Purpose of the Study:

To evaluate the feasibility of a cloud-enabled mobile tool, the Cognitive Assessment Digital Smart Tool (CADST), for cognitive assessment in psychotic patients.
To examine the correlation between CADST results and established clinical measures for attention and working memory.
To explore the utility of time-based metrics in cognitive evaluation.

Main Methods:

160 participants (83 schizophrenia patients, 77 healthy controls) underwent cognitive assessments using CADST and the PGI memory scale (PGIMS).
Attention (ATT) and working memory (WM) were assessed via digit span (score, time) and delayed recall (score, time).

Main Results:

Healthy controls scored significantly higher than schizophrenia patients on ATT and WM.
CADST demonstrated significant correlations with PGIMS for both ATT and WM.
Schizophrenia patients exhibited longer test completion times for ATT and WM, despite comparable scores to controls.

Conclusions:

CADST is a feasible and valuable addition to conventional cognitive assessment methods for schizophrenia.
The tool shows strong correlations with established measures, indicating accuracy and efficiency.
Integrating time parameters provides deeper insights into cognitive function and supports large-scale screening.