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 |
---|---|---|
|
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
- 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