The Influence of Explainability and Integrability of AI-CDSS on Usage Behavior Among Primary Care Physicians
1 other identifier
interventional
3,000
1 country
1
Brief Summary
The goal of this observational experimental study is to determine how system-level features of artificial intelligence clinical decision support systems (AI-CDSS)-specifically explainability and integrability-affect usage behavior among primary care physicians in China. The study focuses on licensed primary care physicians, regardless of gender, age, years of clinical experience, or prior AI exposure. The main questions it aims to answer are:
- Do specific AI features (e.g., feature attribution, chain-of-thought explanation, seamless workflow integration, automated data input) independently influence physicians' adoption intention, diagnostic accuracy, and their perceptions of the system's usefulness and ease of use?
- Do pairwise combinations of these AI features produce significant interaction effects-either synergistic or antagonistic-on these outcomes? Researchers will compare 32 distinct AI interface configurations generated from a 2⁶-¹ fractional factorial design (Resolution VI), each representing a unique combination of six binary AI features: (A) gradient-based feature importance (0 = absent, 1 = present), (B) chain-of-thought reasoning (0/1), (C) workflow integration (0 = multiple pop-up alerts, 1 = unified sidebar display), (D) automated data extraction (0 = manual entry, 1 = auto-populated from case text), (E) recommendation scope adapted to primary care settings (0 = restricted to essential options, 1 = full range of recommendations), and (F) model confidence display (0 = absent, 1 = present). This design enables unbiased estimation of all six main effects and all 15 two-way interactions. Participants will: Complete three standardized clinical case scenarios involving common respiratory infections via a web-based simulation platform; First provide an initial diagnosis and treatment plan without any AI input; Then review an AI-generated recommendation embedded with a randomly assigned combination of the six AI features; Revise their final diagnosis and prescription based on the AI suggestion; Rate their adoption intention, perceived usefulness, and perceived ease of use using validated 7-point Likert-scale items after each case.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Feb 2026
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 19, 2026
CompletedStudy Start
First participant enrolled
February 5, 2026
CompletedFirst Posted
Study publicly available on registry
February 11, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 31, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
April 20, 2026
CompletedFebruary 11, 2026
February 1, 2026
2 months
January 19, 2026
February 3, 2026
Conditions
Outcome Measures
Primary Outcomes (6)
Correction Event Rate
Proportion of cases where the physician's initial decision was incorrect, but was corrected to the right decision after viewing AI recommendations. Calculated as: (Number of cases where initial decision was wrong AND final decision was correct) / (Total number of cases where initial decision was wrong). This measures the positive corrective influence of AI-CDSS on physician decision-making. Continuous variable ranging from 0 to 1.
Immediately after intervention
Misleading Event Rate
Proportion of cases where the physician's initial decision was correct, but was changed to an incorrect decision after viewing AI recommendations. Calculated as: (Number of cases where initial decision was correct AND final decision was wrong) / (Total number of cases where initial decision was correct). This measures the potential negative influence of AI-CDSS on physician decision-making. Continuous variable ranging from 0 to 1.
Immediately after intervention
Diagnostic Accuracy (Top-1)
Proportion of cases where the physician's final primary diagnosis (first-ranked diagnosis) matches the correct diagnosis (gold standard). Measured separately for initial diagnosis (before AI) and final diagnosis (after AI) to assess AI impact on diagnostic accuracy. Continuous variable ranging from 0 to 1.
Immediately after intervention
Diagnostic Accuracy (Top-3)
Proportion of cases where the correct diagnosis (gold standard) appears within the physician's top 3 differential diagnoses. Measured separately for initial diagnosis (before AI) and final diagnosis (after AI). This captures whether the correct diagnosis was considered even if not ranked first. Continuous variable ranging from 0 to 1.
Immediately after intervention
Appropriateness of Antibiotic Use Decision
Proportion of cases where the physician's final decision on whether to prescribe antibiotics (yes/no) aligns with evidence-based guidelines (gold standard). This measures the appropriateness of the binary decision to use or withhold antibiotics, regardless of the specific antibiotic chosen. Measured separately for initial decision (before AI) and final decision (after AI). Continuous variable ranging from 0 to 1.
Immediately after intervention
Appropriateness of Antibiotic Selection
Among cases where antibiotics were prescribed, proportion of cases where the physician's final antibiotic selection (specific drug choice) aligns with evidence-based guidelines (gold standard). This measures the appropriateness of the specific antibiotic chosen, conditional on the decision to prescribe. Measured separately for initial selection (before AI) and final selection (after AI). Continuous variable ranging from 0 to 1.
Immediately after intervention
Secondary Outcomes (4)
Decision Certainty
Immediately after intervention
Intention to Adopt AI-CDSS
Immediately after intervention
Perceived Usefulness of AI-CDSS
Immediately after intervention
Perceived Ease of Use of AI-CDSS
Immediately after intervention
Study Arms (32)
AI-CDSS Basic Configuration
NO INTERVENTIONParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (disabled), Confidence Display (disabled), Feature Importance (disabled), Stepwise Medication (disabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 2
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (disabled), Confidence Display (disabled), Feature Importance (disabled), Stepwise Medication (enabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 3
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (disabled), Confidence Display (disabled), Feature Importance (enabled), Stepwise Medication (disabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 4
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (disabled), Confidence Display (disabled), Feature Importance (enabled), Stepwise Medication (enabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 5
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (disabled), Confidence Display (enabled), Feature Importance (disabled), Stepwise Medication (disabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 6
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (disabled), Confidence Display (enabled), Feature Importance (disabled), Stepwise Medication (enabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 7
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (disabled), Confidence Display (enabled), Feature Importance (enabled), Stepwise Medication (disabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 8
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (disabled), Confidence Display (enabled), Feature Importance (enabled), Stepwise Medication (enabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 9
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (enabled), Confidence Display (disabled), Feature Importance (disabled), Stepwise Medication (disabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 10
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (enabled), Confidence Display (disabled), Feature Importance (disabled), Stepwise Medication (enabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 11
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (enabled), Confidence Display (disabled), Feature Importance (enabled), Stepwise Medication (disabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 12
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (enabled), Confidence Display (disabled), Feature Importance (enabled), Stepwise Medication (enabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 13
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (enabled), Confidence Display (enabled), Feature Importance (disabled), Stepwise Medication (disabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 14
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (enabled), Confidence Display (enabled), Feature Importance (disabled), Stepwise Medication (enabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 15
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (enabled), Confidence Display (enabled), Feature Importance (enabled), Stepwise Medication (disabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 16
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (disabled), Chain-of-Thought Reasoning (enabled), Confidence Display (enabled), Feature Importance (enabled), Stepwise Medication (enabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 17
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (disabled), Confidence Display (disabled), Feature Importance (disabled), Stepwise Medication (disabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 18
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (disabled), Confidence Display (disabled), Feature Importance (disabled), Stepwise Medication (enabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 19
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (disabled), Confidence Display (disabled), Feature Importance (enabled), Stepwise Medication (disabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 20
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (disabled), Confidence Display (disabled), Feature Importance (enabled), Stepwise Medication (enabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 21
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (disabled), Confidence Display (enabled), Feature Importance (disabled), Stepwise Medication (disabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 22
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (disabled), Confidence Display (enabled), Feature Importance (disabled), Stepwise Medication (enabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 23
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (disabled), Confidence Display (enabled), Feature Importance (enabled), Stepwise Medication (disabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 24
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (disabled), Confidence Display (enabled), Feature Importance (enabled), Stepwise Medication (enabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 25
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (enabled), Confidence Display (disabled), Feature Importance (disabled), Stepwise Medication (disabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 26
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (enabled), Confidence Display (disabled), Feature Importance (disabled), Stepwise Medication (enabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 27
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (enabled), Confidence Display (disabled), Feature Importance (enabled), Stepwise Medication (disabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 28
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (enabled), Confidence Display (disabled), Feature Importance (enabled), Stepwise Medication (enabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 29
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (enabled), Confidence Display (enabled), Feature Importance (disabled), Stepwise Medication (disabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 30
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (enabled), Confidence Display (enabled), Feature Importance (disabled), Stepwise Medication (enabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Configuration 31
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (enabled), Confidence Display (enabled), Feature Importance (enabled), Stepwise Medication (disabled), Auto-extraction (disabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
AI-CDSS Full Configuration
EXPERIMENTALParticipants interact with an AI Clinical Decision Support System with the following feature settings: Sidebar Display (enabled), Chain-of-Thought Reasoning (enabled), Confidence Display (enabled), Feature Importance (enabled), Stepwise Medication (enabled), Auto-extraction (enabled). Participants complete 3 clinical case evaluations for respiratory tract infections using this AI configuration.
Interventions
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Stepwise Medication; Auto-extraction. Inactive features: Sidebar Display; Chain-of-Thought Reasoning; Confidence Display; Feature Importance. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Feature Importance; Auto-extraction. Inactive features: Sidebar Display; Chain-of-Thought Reasoning; Confidence Display; Stepwise Medication. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Feature Importance; Stepwise Medication. Inactive features: Sidebar Display; Chain-of-Thought Reasoning; Confidence Display; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Confidence Display; Auto-extraction. Inactive features: Sidebar Display; Chain-of-Thought Reasoning; Feature Importance; Stepwise Medication. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Confidence Display; Stepwise Medication. Inactive features: Sidebar Display; Chain-of-Thought Reasoning; Feature Importance; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Confidence Display; Feature Importance. Inactive features: Sidebar Display; Chain-of-Thought Reasoning; Stepwise Medication; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Confidence Display; Feature Importance; Stepwise Medication; Auto-extraction. Inactive features: Sidebar Display; Chain-of-Thought Reasoning. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Chain-of-Thought Reasoning; Auto-extraction. Inactive features: Sidebar Display; Confidence Display; Feature Importance; Stepwise Medication. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Chain-of-Thought Reasoning; Stepwise Medication. Inactive features: Sidebar Display; Confidence Display; Feature Importance; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Chain-of-Thought Reasoning; Feature Importance. Inactive features: Sidebar Display; Confidence Display; Stepwise Medication; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Chain-of-Thought Reasoning; Feature Importance; Stepwise Medication; Auto-extraction. Inactive features: Sidebar Display; Confidence Display. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Chain-of-Thought Reasoning; Confidence Display. Inactive features: Sidebar Display; Feature Importance; Stepwise Medication; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Chain-of-Thought Reasoning; Confidence Display; Stepwise Medication; Auto-extraction. Inactive features: Sidebar Display; Feature Importance. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Chain-of-Thought Reasoning; Confidence Display; Feature Importance; Auto-extraction. Inactive features: Sidebar Display; Stepwise Medication. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Chain-of-Thought Reasoning; Confidence Display; Feature Importance; Stepwise Medication. Inactive features: Sidebar Display; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Auto-extraction. Inactive features: Chain-of-Thought Reasoning; Confidence Display; Feature Importance; Stepwise Medication. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Stepwise Medication. Inactive features: Chain-of-Thought Reasoning; Confidence Display; Feature Importance; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Feature Importance. Inactive features: Chain-of-Thought Reasoning; Confidence Display; Stepwise Medication; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Feature Importance; Stepwise Medication; Auto-extraction. Inactive features: Chain-of-Thought Reasoning; Confidence Display. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Confidence Display. Inactive features: Chain-of-Thought Reasoning; Feature Importance; Stepwise Medication; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Confidence Display; Stepwise Medication; Auto-extraction. Inactive features: Chain-of-Thought Reasoning; Feature Importance. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Confidence Display; Feature Importance; Auto-extraction. Inactive features: Chain-of-Thought Reasoning; Stepwise Medication. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Confidence Display; Feature Importance; Stepwise Medication. Inactive features: Chain-of-Thought Reasoning; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Chain-of-Thought Reasoning. Inactive features: Confidence Display; Feature Importance; Stepwise Medication; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Chain-of-Thought Reasoning; Stepwise Medication; Auto-extraction. Inactive features: Confidence Display; Feature Importance. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Chain-of-Thought Reasoning; Feature Importance; Auto-extraction. Inactive features: Confidence Display; Stepwise Medication. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Chain-of-Thought Reasoning; Feature Importance; Stepwise Medication. Inactive features: Confidence Display; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Chain-of-Thought Reasoning; Confidence Display; Auto-extraction. Inactive features: Feature Importance; Stepwise Medication. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Chain-of-Thought Reasoning; Confidence Display; Stepwise Medication. Inactive features: Feature Importance; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Chain-of-Thought Reasoning; Confidence Display; Feature Importance. Inactive features: Stepwise Medication; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
An artificial intelligence-based Clinical Decision Support System for respiratory tract infections. Active features: Sidebar Display; Chain-of-Thought Reasoning; Confidence Display; Feature Importance; Stepwise Medication; Auto-extraction. The system provides diagnosis suggestions and antibiotic recommendations for primary care physicians.
Eligibility Criteria
You may qualify if:
- Be currently employed full-time in clinical practice at a primary care facility, including community health centers, community health stations, township hospitals, or village clinics;
- Hold a clinical medical license with a specialty in general practice or internal medicine, and have experience in diagnosing and managing respiratory tract infections;
- Have at least one year of clinical work experience;
- Be proficient in basic computer use (e.g., web browsing and online questionnaire completion), have reliable internet access, and be capable of independently completing the online experimental tasks;
- Provide voluntary informed consent to participate in the study.
You may not qualify if:
- Non-clinical staff (e.g., administrative personnel, pharmacists, laboratory technicians, or public health workers who do not directly provide outpatient clinical care);
- Individuals unable to independently complete the online experimental procedure or who demonstrate significant difficulty understanding the task instructions.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Tongji Medical College of Huazhong University of Science & Technology School of Medicine and Health Management
Wuhan, Hubei, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- FACTORIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
January 19, 2026
First Posted
February 11, 2026
Study Start
February 5, 2026
Primary Completion
March 31, 2026
Study Completion
April 20, 2026
Last Updated
February 11, 2026
Record last verified: 2026-02
Data Sharing
- IPD Sharing
- Will not share