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NCT Number: NCT06026098

Evaluation of Impact of AI Assistance on Workload Associated w Preparation of Rare Tumor Case Repts

The goal of this study is to explore cognitive burden perceptions among physicians in relation to case report writing. Furthermore, this study evaluates the use of artificial intelligence (AI) assistance as a tool to reduce cognitive burden among providers preparing and submitting case reports. If an AI-tool is helpful in this setting, it may potentially help increase reporting of rare medical events and thereby improve the evidence base for care of these patient populations. This study will occur at a single time point which is expected to last approximately 2 hours. This session will include reviewing two rare tumor cases and then writing a clinical vignette with and without AI assistance.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • The subject is a physician, medical student, or postdoctoral student.

Exclusion criteria

Treatment and study plan

Artificial intelligence

Behavioral

Participants will use the Artificial Intelligence assistance tool for case reports.

Primary outcomes

  1. Subjective Cognitive workload (CWL)

    Time frame: Baseline to 2 hours

    Subjective Cognitive workload (CWL) will be measured while interviews using The National Aeronautics and Space Administration task load (NASA TLX) index is a tool for measuring and conducting a subjective mental workload (MWL) assessment.

    The NASA-TLX is a subjective measure of CWL and is used across many disciplines. The NASA-TLX considers six dimensions-Mental, Physical, and Temporal Demands, Frustration, Effort, and Performance. NASA-TLX scores ≥55 have been associated with reduced performance in numerous settings. NASA-TLX is considered to be the most used subjective measure of CWL. The validated two-stage process with participants performing 15 separate pair-wise comparisons between 6 dimensions of NASA-TLX will be used. A workload score will be marked from low and high for each dimension.

    Score values from 0 -100. The Interpretation Score of NASA TLX for Low 0-9, Medium 10-29, Somewhat high 30-49, High 50-79, and Very high 80-100

  2. Perceived cognitive load

    Time frame: Baseline to 2 hours

    The perceived cognitive load will be measured using System Usability Scale (SUS).

    SUS is a validated post-test questionnaire that measures user satisfaction. Further, studies confirm that SUS is predictive of the impacts of changes to the user interface on usability when multiple changes to a single product were made over a large number of iterations.

    SUS is composed of 10 questions- five positive and five negative statements, each having a five-point scale that ranges from strongly disagree to strongly agree. SUS provides a score (range, 0-100) based on the participant's rating of 10 statements regarding usability with higher scores indicating greater satisfaction with usability.

Study contacts

Contact information is provided by the study sponsor or research team.

Shivani Sud

CONTACT

[email protected]

984-987-1072

Victoria Xu

CONTACT

[email protected]

984-974-8744

Sponsors and collaborators

Lead sponsor

UNC Lineberger Comprehensive Cancer Center

Other

Registry information

Official study title

A Prospective Evaluation of Impact of AI Assistance on Workload Associated With Preparation of Rare Tumor Case Reports

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Sep 6, 2023
Registry last updated
Jun 23, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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