Efficacy of an eTriaging System for Disease Triaging

Sponsor
Sun Yat-sen University (Other)
Overall Status
Recruiting
CT.gov ID
NCT05231174
Collaborator
(none)
2,000
1
1
9.7
205.7

Study Details

Study Description

Brief Summary

As the population increases and disease prevalance rises, long waiting time has become a common problem in public health care systems. There is an urgent need for fast, accurate, and cost-effective rapid triaging services. Thus, we aimed to develop an eTriaging system and compare its efficacy with humans.

Condition or Disease Intervention/Treatment Phase
  • Other: eTriaging system
N/A

Study Design

Study Type:
Interventional
Anticipated Enrollment :
2000 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Other
Official Title:
Efficacy of Using eTriaging System for Disease Triaging in Community Population
Actual Study Start Date :
Feb 8, 2022
Anticipated Primary Completion Date :
Sep 1, 2022
Anticipated Study Completion Date :
Dec 1, 2022

Arms and Interventions

Arm Intervention/Treatment
Experimental: Interactive Q&A chatbot

Other: eTriaging system
An automated triaging system based on natural language processing technique

Outcome Measures

Primary Outcome Measures

  1. Accuracy of the eTriaging system [Immediately after using the eTriaging system]

    Comparison of the accuracy between the eTriaging system and human experts

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
Yes
Inclusion Criteria:
  • People over 18 years old.

  • Having a smartphone/tablet and able to view and operate the eTriaging APP.

  • Willing to participate in the study and provide informed content.

Exclusion Criteria:
  • NA

Contacts and Locations

Locations

Site City State Country Postal Code
1 Zhognshan Ophthalmic Center, Sun Yat-sen University Guangzhou Guangdong China 510000

Sponsors and Collaborators

  • Sun Yat-sen University

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Yingfeng Zheng, Professor, Sun Yat-sen University
ClinicalTrials.gov Identifier:
NCT05231174
Other Study ID Numbers:
  • 2022KYPJX03
First Posted:
Feb 9, 2022
Last Update Posted:
Jun 2, 2022
Last Verified:
May 1, 2022
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No

Study Results

No Results Posted as of Jun 2, 2022