Evaluation of Impact of AI Assistance on Workload Associated w Preparation of Rare Tumor Case Repts
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Artificial Intelligence.
- Who it may be relevant to
- Registry conditions: Cognitive Burden, Cognitive Symptom. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- United States
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
A Prospective Evaluation of Impact of AI Assistance on Workload Associated With Preparation of Rare Tumor Case Reports
Overview
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
- Behavioral Artificial Intelligence
Participants will use the Artificial Intelligence assistance tool for case reports.
Primary outcome measures
- Subjective Cognitive workload (CWL) [Time frame: Baseline to 2 hours]
- Perceived cognitive load [Time frame: Baseline to 2 hours]
Eligibility criteria
Inclusion criteria
1\. The subject is a physician, medical student, or postdoctoral student.
Exclusion criteria
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- Non-randomized
- Model
- Crossover
- Masking
- Open label
- Primary purpose
- Other
Study locations
United States · 1 center
- Lineberger Comprehensive Cancer Center — Chapel Hill
Identifiers
NCT: NCT06026098 · 23-1262