AzTrials
AzTrials

Respiratory Tract Infections (RTI)NCT07401979

The Influence of Explainability and Integrability of AI-CDSS on Usage Behavior Among Primary Care Physicians

A study testing AI-CDSS with Stepwise Medication and Auto-extraction, AI-CDSS with Feature Importance and Auto-extraction and AI-CDSS with Feature Importance and Stepwise Medication in people with Respiratory Tract Infections (RTI), run by Huazhong University of Science and Technology at 1 site in China.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial 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. Read more about this study

Who is it for?
Ages 18 to 65 years
Conditions the study is for
Respiratory Tract Infections (RTI)
What is being tested?
AI-CDSS with Stepwise Medication and Auto-extraction, AI-CDSS with Feature Importance and Auto-extraction and AI-CDSS with Feature Importance and Stepwise Medication
Could I receive a placebo?
No, everyone receives an active treatment
How many people
3,159 participants
Where
1 siteChina
Study dates
5 Feb 2026to 20 May 2026
Phase
Interventional
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 65 years
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Who may be able to join

  • 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.

Who cannot join

  • 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.

Trial locations and contacts

1 site in 1 country.

China1 site
  • Tongji Medical College of Huazhong University of Science & Technology School of Medicine and Health Management

    Wuhan, Hubei

Other trials in China

About this study

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:

Read more
  • 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.

Being tested
AI-CDSS with Stepwise Medication and Auto-extraction, AI-CDSS with Feature Importance and Auto-extraction, AI-CDSS with Feature Importance and Stepwise Medication, AI-CDSS with Confidence Display and Auto-extraction, AI-CDSS with Confidence Display and Stepwise Medication
Medical subject headings
Respiratory Tract Infections

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • AI-CDSS with Stepwise Medication and Auto-extractionBehavioural

    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.

  • AI-CDSS with Feature Importance and Auto-extractionBehavioural

    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.

  • AI-CDSS with Feature Importance and Stepwise MedicationBehavioural

    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.

  • AI-CDSS with Confidence Display and Auto-extractionBehavioural

    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.

  • AI-CDSS with Confidence Display and Stepwise MedicationBehavioural

    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.

  • AI-CDSS with Confidence Display and Feature ImportanceBehavioural

    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.

  • AI-CDSS with 4 Features (Config 8)Behavioural

    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.

  • AI-CDSS with Chain-of-Thought Reasoning and Auto-extractionBehavioural

    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.

  • AI-CDSS with Chain-of-Thought Reasoning and Stepwise MedicationBehavioural

    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.

  • AI-CDSS with Chain-of-Thought Reasoning and Feature ImportanceBehavioural

    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.

  • AI-CDSS with 4 Features (Config 12)Behavioural

    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.

  • AI-CDSS with Chain-of-Thought Reasoning and Confidence DisplayBehavioural

    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.

  • AI-CDSS with 4 Features (Config 14)Behavioural

    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.

  • AI-CDSS with 4 Features (Config 15)Behavioural

    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.

  • AI-CDSS with 4 Features (Config 16)Behavioural

    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.

  • AI-CDSS with Sidebar Display and Auto-extractionBehavioural

    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.

  • AI-CDSS with Sidebar Display and Stepwise MedicationBehavioural

    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.

  • AI-CDSS with Sidebar Display and Feature ImportanceBehavioural

    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.

  • AI-CDSS with 4 Features (Config 20)Behavioural

    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.

  • AI-CDSS with Sidebar Display and Confidence DisplayBehavioural

    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.

  • AI-CDSS with 4 Features (Config 22)Behavioural

    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.

  • AI-CDSS with 4 Features (Config 23)Behavioural

    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.

  • AI-CDSS with 4 Features (Config 24)Behavioural

    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.

  • AI-CDSS with Sidebar Display and Chain-of-Thought ReasoningBehavioural

    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.

  • AI-CDSS with 4 Features (Config 26)Behavioural

    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.

  • AI-CDSS with 4 Features (Config 27)Behavioural

    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.

  • AI-CDSS with 4 Features (Config 28)Behavioural

    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.

  • AI-CDSS with 4 Features (Config 29)Behavioural

    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.

  • AI-CDSS with 4 Features (Config 30)Behavioural

    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.

  • AI-CDSS with 4 Features (Config 31)Behavioural

    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.

  • Full-Featured AI-CDSSBehavioural

    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.

Study groups in NCT07401979
Study groupRoleWhat they receive
AI-CDSS Basic ConfigurationNo 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 2ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Stepwise Medication and Auto-extraction
AI-CDSS Configuration 3ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Feature Importance and Auto-extraction
AI-CDSS Configuration 4ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Feature Importance and Stepwise Medication
AI-CDSS Configuration 5ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Confidence Display and Auto-extraction
AI-CDSS Configuration 6ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Confidence Display and Stepwise Medication
AI-CDSS Configuration 7ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Confidence Display and Feature Importance
AI-CDSS Configuration 8ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 8)
AI-CDSS Configuration 9ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Chain-of-Thought Reasoning and Auto-extraction
AI-CDSS Configuration 10ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Chain-of-Thought Reasoning and Stepwise Medication
AI-CDSS Configuration 11ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Chain-of-Thought Reasoning and Feature Importance
AI-CDSS Configuration 12ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 12)
AI-CDSS Configuration 13ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Chain-of-Thought Reasoning and Confidence Display
AI-CDSS Configuration 14ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 14)
AI-CDSS Configuration 15ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 15)
AI-CDSS Configuration 16ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 16)
AI-CDSS Configuration 17ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Sidebar Display and Auto-extraction
AI-CDSS Configuration 18ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Sidebar Display and Stepwise Medication
AI-CDSS Configuration 19ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Sidebar Display and Feature Importance
AI-CDSS Configuration 20ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 20)
AI-CDSS Configuration 21ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Sidebar Display and Confidence Display
AI-CDSS Configuration 22ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 22)
AI-CDSS Configuration 23ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 23)
AI-CDSS Configuration 24ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 24)
AI-CDSS Configuration 25ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with Sidebar Display and Chain-of-Thought Reasoning
AI-CDSS Configuration 26ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 26)
AI-CDSS Configuration 27ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 27)
AI-CDSS Configuration 28ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 28)
AI-CDSS Configuration 29ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 29)
AI-CDSS Configuration 30ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 30)
AI-CDSS Configuration 31ExperimentalParticipants 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.
Receives: Behavioral: AI-CDSS with 4 Features (Config 31)
AI-CDSS Full ConfigurationExperimentalParticipants 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.
Receives: Behavioral: Full-Featured AI-CDSS

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. 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.

    Measured: Immediately after intervention

  2. 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.

    Measured: Immediately after intervention

  3. 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.

    Measured: Immediately after intervention

  4. 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.

    Measured: Immediately after intervention

  5. 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.

    Measured: Immediately after intervention

  6. 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.

    Measured: Immediately after intervention

Secondary outcomes (4)
  1. Decision Certainty

    Physician's self-reported confidence level in their final clinical decision after viewing AI recommendations. Measured using a 5-point Likert scale: 1 = Very Uncertain, 2 = Uncertain, 3 = Neutral, 4 = Certain, 5 = Very Certain. This reflects the cognitive impact of AI-CDSS on decision confidence.

    Measured: Immediately after intervention

  2. Intention to Adopt AI-CDSS

    Measured using a 3-item scale adapted from the Technology Acceptance Model (TAM). Items assess: (1) willingness to apply AI-CDSS in daily clinical practice when available, (2) intention to use AI-CDSS based on actual patient care needs, and (3) willingness to frequently use AI-CDSS when conditions permit. Each item is rated on a 5-point Likert scale (1=Strongly Disagree to 5=Strongly Agree). Total score ranges from 3 to 15.

    Measured: Immediately after intervention

  3. Perceived Usefulness of AI-CDSS

    Measured using a 6-item Perceived Usefulness scale adapted from TAM (Davis, 1989). Items assess perceived improvements in: (1) task completion speed, (2) job performance, (3) productivity, (4) work effectiveness, (5) ease of work, and (6) overall usefulness. Each item is rated on a 7-point Likert scale (1=Strongly Disagree to 7=Strongly Agree). Total score ranges from 6 to 42.

    Measured: Immediately after intervention

  4. Perceived Ease of Use of AI-CDSS

    Measured using a 6-item Perceived Ease of Use scale adapted from TAM (Davis, 1989). Items assess: (1) ease of learning, (2) ease of getting desired functions, (3) clarity of interaction, (4) flexibility of interaction, (5) ease of becoming proficient, and (6) overall ease of use. Each item is rated on a 7-point Likert scale (1=Strongly Disagree to 7=Strongly Agree). Total score ranges from 6 to 42.

    Measured: Immediately after intervention

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted11 Feb 2026
  2. Study start5 Feb 2026
  3. Primary completion20 May 2026
  4. Study completion20 May 2026

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Health services research
Allocation
Randomised
Intervention model
Factorial
Masking
Single blind
Who is masked
Participant
Enrolment
3,159 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT07401979
Sponsor's protocol ID
CXL202601141106
Status last verified
Feb 2026
First submitted
19 Jan 2026
Last updated
27 Oct 2026
Results posted
No
Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Questions about this trial

What is this clinical trial studying?

A study testing AI-CDSS with Stepwise Medication and Auto-extraction, AI-CDSS with Feature Importance and Auto-extraction and AI-CDSS with Feature Importance and Stepwise Medication in people with Respiratory Tract Infections (RTI), run by Huazhong University of Science and Technology at 1 site in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 5 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 27 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Correction Event Rate (time frame: Immediately after intervention). The study lists 6 primary outcomes in all. It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 27 Oct 2026.

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