Implementation and Evaluation of an Electronic Early Warning Score (e-EWS) System

NCT04425694 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 20

Last updated 2020-06-11

No results posted yet for this study

Summary

Early Warning Score (EWS) is a tool designed to help clinicians efficiently identify and track patients who have or develop acute illness, and make timely clinical responses. The calculation and charting of EWSs at Tuen Mun Hospital (TMH) is a manual process at present. The purpose of this study is to automate the EWS calculation and charting process using an electronic EWS (e-EWS) system. However, while the e-EWS system could potentially reduce ward staff's workload and improve patient safety, its effectiveness can only be realized through good human factors (HF) design that matches users' expectations, requirements and work practices. Therefore, our aim is to carry out HF methods in order to inform design of the e-EWS system before its implementation in a selected surgical ward in the hospital. After its implementation, we will also conduct evaluation of the e-EWS system to assess its effectiveness with respect to clinical outcomes.

Conditions

  • Health Knowledge, Attitudes, Practice

Interventions

DEVICE

e-EWS system

The e-EWS system is connected to a physiological monitor, which takes various physiological measurements. The system has an auto-charting module, which automatically captures patients' physiological measurements in an electronic chart (e-chart) and calculates their EWS. All the information in the auto-charting module is then wirelessly transferred to a central display in the ward's nurses station. The central display shows patients' status in terms of EWS and issues alerts when any EWS has exceeded a set threshold. The e-EWS system is not only capable of auto-charting but also provides an alert mechanism to help nurses detect early deterioration.

Sponsors & Collaborators

  • Lingnan University

    collaborator OTHER
  • Tuen Mun Hospital

    collaborator OTHER_GOV
  • The University of Hong Kong

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-11-01
Primary Completion
2020-12-31
Completion
2020-12-31

Countries

  • Hong Kong

Study Locations

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Read the full study record

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View NCT04425694 on ClinicalTrials.gov