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

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UNC Lineberger Comprehensive Cancer Center

Status

Not yet enrolling

Conditions

Cognitive Burden
Cognitive Symptom

Treatments

Behavioral: Artificial Intelligence

Study type

Interventional

Funder types

Other

Identifiers

NCT06026098
23-1262

Details and patient eligibility

About

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.

Enrollment

10 estimated patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

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

Exclusion Criteria:

Trial design

Primary purpose

Other

Allocation

Non-Randomized

Interventional model

Crossover Assignment

Masking

None (Open label)

10 participants in 2 patient groups

Case Report with Artificial Intelligence
Experimental group
Description:
Medical students, resident physicians, or attending physicians report rare cases with using Artificial Intelligence.
Treatment:
Behavioral: Artificial Intelligence
Case Report without Artificial Intelligence
No Intervention group
Description:
Medical students, resident physicians, or attending physicians report rare cases without using Artificial Intelligence.

Trial contacts and locations

1

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Central trial contact

Victoria Xu; Shivani Sud

Data sourced from clinicaltrials.gov

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