Large Language Model-Driven Personalization of Virtual Reality Interventions to Improve Pediatric Inpatient Experience and Reduce Needle Anxiety
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: LLM-audiobook.
- Who it may be relevant to
- Registry conditions: Large Language Model. Basic parameters: 11 years — 17 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
- Center list to be confirmed — check the primary protocol.
- 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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Overview
Hospitalization strips pediatric patients of the environments, objects, and people that shape their daily lives. Hospitalized pediatric patients routinely experience painful procedures, psychological distress, boredom, and a disorienting loss of personal identity. These experiences measurably worsen anxiety, reduce cooperation with care, and diminish the quality of the inpatient experience for both patients and families.1-7 Immersive digital interventions, including VR and tablet-based experiences, have emerged as a promising class of tools for addressing these challenges. Prior studies from The Stanford Chariot Program have demonstrated that digitally delivered, patient-centered experiences can meaningfully reduce procedural anxiety and improve engagement in hospitalized children.8-12 Yet, an important limitation persists in these technologies - current digital interventions largely remain in one-size-fits-all formats. Every child receives the same content, regardless of who they are, what they love, or what makes them feel at home in the world. This design limits therapeutic relevance, constrains engagement, and represents a missed opportunity to engage children, reduce anxiety, and enhance their quality of life during hospital stays.
Interventions
- Behavioral LLM-audiobook
Develop and refine a two-stage personalization LLM pipeline: (1) a structured brief interview template and (2) an LLM prompt chain for content generation. The interview instrument will be a structured guide (\~20 minutes) capturing details about the child's background, interests, and aspirations. All information collected during the interview will be deidentified prior to being passed into the LLM. Content Generation: Deidentified interview responses will be input to a standardized LLM prompt p
Primary outcome measures
- Determine the acceptability of the Large Language Model generated audiobook [Time frame: Immediately after intervention]
Eligibility criteria
Inclusion criteria
- English-speaking patients admitted for ≥24 hours
Exclusion criteria
- Acute medical instability
- Contact or airborne isolation precautions (precluding shared device use)
- Vision or hearing impairment
- Severe cognitive or developmental impairment
- Active seizure disorder
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- N/A
- Model
- Single group
- Masking
- Open label
- Primary purpose
- Supportive care
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT07637617 · 87422