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the Multi-modal Evaluation of Agitation in Critically Ill Patients Based on Remote Video-Ultra-sensitive Detection Wave

NCT06543602 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 580

Last updated 2024-08-09

No results posted yet for this study

Summary

The goal of this observational study is to learn about the effectiveness of the multi-modal evaluation for agitation behavior in critically ill patients based on remote video-Ultra-sensitive detection wave.

The main question it aims to answer is: evaluate the effectiveness of multi-modal evaluation monitoring system for agitated critically ill patients Participants already taking multi-modal evaluation monitoring system as part of their regular medical care for agitated critically ill patients will compare their effectiveness for agitation for 3 years.

Conditions

  • Critically Ill Patients

Interventions

DIAGNOSTIC_TEST

multi-model monitoring and alert

All agitated critically illed patients are monitored by manual and multi-model monitoring and alert system

Sponsors & Collaborators

  • People's Hospital of Quzhou

    collaborator OTHER

  • The Second Affiliated Hospital of Jiaxing University

    collaborator OTHER

  • Zhoushan Hospital of Zhejiang

    collaborator UNKNOWN

  • Longquan People's Hospital

    collaborator UNKNOWN

  • Fuyang District First People's Hospital of Hangzhou

    collaborator UNKNOWN

  • The Third Affiliated Hospital of Wenzhou Medical University

    collaborator OTHER

  • Second Affiliated Hospital, School of Medicine, Zhejiang University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-05-01
Primary Completion
2027-04-30
Completion
2027-04-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06543602 on ClinicalTrials.gov