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

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

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06026098
Enrollment
10
Registered
2023-09-06
Start date
2026-10-01
Completion date
2026-12-01
Last updated
2026-06-23

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

Conditions

Cognitive Burden, Cognitive Symptom

Keywords

artificial intelligence, case report

Brief summary

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.

Interventions

BEHAVIORALArtificial Intelligence

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

Sponsors

UNC Lineberger Comprehensive Cancer Center
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

1\. The subject is a physician, medical student, or postdoctoral student.

Design outcomes

Primary

MeasureTime frameDescription
Subjective Cognitive workload (CWL)Baseline to 2 hoursSubjective 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
Perceived cognitive loadBaseline to 2 hoursThe 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.

Countries

United States

Contacts

CONTACTShivani Sud
shivani.sud@unchealth.unc.edu984-987-1072
CONTACTVictoria Xu
victoria_xu@med.unc.edu984-974-8744
PRINCIPAL_INVESTIGATORShivani Sud

UNC Lineberger Comprehensive Cancer Center

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 24, 2026