Evaluation Study of an Evidence-Based Diagnostic Decision Support System

Evaluation Study for the Accuracy of an Evidence-Based Diagnostic AI Clinical Decision Support System and Its Trustworthiness, Acceptance, and Satisfaction Among Clinicians: A Simulation Randomized Controlled Study

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

CRIS

Registry ID

KCT0009697

Enrollment

118

Registered

2024-08-09

Start date

2024-05-02

Completion date

Unknown

Last updated

2025-05-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Medical Device : 1. Participant Recruitment - Voluntary contact by individuals interested in participating in the study - Scheduling participation dates 2. Conducting the Study - Obtaining consent - R

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Specialists and residents in emergency medicine, internal medicine, or family medicine with experience working in the emergency department, who have applied for this study through an announcement and agreed to participate.

Exclusion criteria

Exclusion criteria: 1. Individuals who do not agree to participate in this study 2. Physicians from non-emergency medicine specialties without at least three months of emergency department experience in the last three years 3. Interns

Design outcomes

Primary

Measure	Time frame
Concordance of the diagnosis with artificial intelligence based clinical decision support system agent (Ask Avo);Appropriateness of the diagnosis evaluated by emergency medicine faculties	—

Secondary

Measure	Time frame
Trust : Trust Scale Recommended for XAI;Acceptance: Acceptance scale for the implementation of AI ;Satisfaction: Explanation Satisfaction Scale;Quality of answer: System Causability Scale	—

Countries

Korea, Republic of

Contacts

Public ContactJunsang Yoo

Sungkyunkwan University

junnsang@gmail.com+82-2-2148-7797

Outcome results