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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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COVID-19 recognition and digital risk stratification.

Luke E Hodgson¹, Todd Leckie², Alexander Hunter³

¹Worthing Hospital, Worthing, UK and visiting senior lecturer, University of Surrey, Guildford, UK.

Future Healthcare Journal

|October 23, 2020

Summary

This study introduced a digital COVID-19 assessment tool and dashboard in two hospitals. The system improved case recognition, testing, acuity assessment, and deterioration alerts for acute patient care during the pandemic.

Keywords:

COVID-19 Digital assessment coronavirus

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Area of Science:

Healthcare Informatics
Infectious Disease Management
Digital Health Solutions

Background:

The COVID-19 pandemic created significant challenges for acute hospital patient care.
Accurate case recognition, testing, acuity assessment, and deterioration monitoring were critical issues.

Purpose of the Study:

To describe the implementation and impact of a digital COVID-19 assessment tool.
To evaluate the tool's effectiveness in improving hospital-level reporting and risk stratification.

Main Methods:

Introduction of a digital COVID-19 assessment tool and live dashboard in two acute National Health Service (NHS) hospitals.
Focus on enhancing case recognition, testing confirmation, acuity assessment, and deterioration alerts.

Main Results:

The digital tool facilitated accurate hospital-level reporting of COVID-19 cases.
The system supported effective risk stratification of patients.
Improved processes for testing requests and results confirmation were observed.

Conclusions:

Digital assessment tools can effectively address challenges in acute care during pandemics.
Implementation of such tools enhances hospital-level reporting and patient risk stratification for COVID-19.
The developed system offers a valuable solution for managing infectious disease outbreaks in acute settings.