Seedlabs

Ask-About-AI Intake Screen for Youth Mental Health Care

A two-minute standardized set of intake questions that asks youth patients whether and how often they use AI chatbots for mental health advice, flags the answer in the EHR, and gives clinicians a one-page guide on what to affirm, correct, and watch for. It makes an already-common but invisible behavior visible to clinicians.

PsychologyDigital Mental Health Interventions
Attention Deficit Hyperactivity DisorderPediatric and adolescent mental health care (clinical intake and EHR workflows)

Concept

A three-question intake add-on for pediatric, school-based, and youth mental-health visits: (1) Do you use AI chatbots for mental health advice? (2) How often? (3) What for, and how helpful do you find it? Responses score into a single EHR flag (e.g., 'AI advice use: monthly or more') paired with a one-page clinician card of affirm-correct-monitor talking points and safety red flags (medication dosing questions, crisis language, sleep displacement). It is an instrument, not an AI product: it slots into the existing HEADSS-style psychosocial interview exactly where social-media and substance-use questions already sit, and ships as an EHR template plus a paper/tablet version for low-tech school clinics.

Why now

The new survey is the first population-level measurement of this behavior: 13.1% of US youth aged 12-21 already use generative AI for mental health advice, rising to 22.2% among 18-21 year olds; 65.5% of users do so monthly or more often, and 92.7% find it at least somewhat helpful. High perceived helpfulness means the advice is likely to be acted on, yet no standard clinical instrument captures it — clinicians are currently blind to a recurring influence on their patients' coping. Corpus work on AI as an intimate presence in everyday coping architecture [5] supports treating AI advice use as a legitimate psychosocial-assessment domain. The screen is nearly free to deploy and converts a prevalent, hidden behavior into an actionable clinical variable.

Written by GLM · 13 Oct 2026

AI assessment

Backed by 2 papers92

A low-friction, high-utility clinical instrument that converts a documented behavioral trend into an actionable EHR data point for youth mental health.

Evidence strength
5/5
The idea is directly grounded in a specific population-level study showing significant prevalence (13-22%) and high perceived helpfulness of AI for mental health among youth.
Market pull
4/5
Pediatric clinicians have a strong incentive to identify external influences on patient coping, and the integration into existing EHR workflows (Epic) targets a clear buyer/distributor.
Novelty & moat
4/5
While similar to other screening tools in the catalog, it addresses a completely new and timely psychosocial domain (AI interaction) rather than a known medical comorbidity.
Feasibility
5/5
The product is a simple set of questions and a clinician guide, requiring no complex software development beyond standard EHR template configuration.
Wedge clarity
5/5
The wedge is extremely sharp: a three-question add-on to the existing HEADSS psychosocial interview.
Simplicity / focus
5/5
It avoids 'platform creep' by remaining a focused clinical instrument with a single, clear purpose.

Scored by Gemma 4 · 13 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.

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Who benefits

  • American Academy of Pediatricsorganization

    The AAP already issues guidance on adolescent media use; an evidence-backed AI-advice screen gives its members a concrete instrument tied to fresh prevalence data (13.1% of youth affected).

  • Epic Systemscompany

    As the largest EHR vendor, Epic could ship the screen as a standard intake template and flag, reaching thousands of adolescent clinics at near-zero marginal cost.

  • School-Based Health Allianceorganization

    School-based clinics serve youth who lack other care access; a paper or tablet version of the screen fits their workflows and captures the exact population surveyed.

  • American Academy of Child and Adolescent Psychiatryorganization

    Child and adolescent psychiatrists evaluating youth would gain a new clinical variable for formulation; AACAP could endorse the screen through practice guidance.

Research it builds on

  1. Use of Generative AI for Mental Health Advice Among US Adolescents and Young Adults
    Ryan K. McBain, Robert N. Bozick, Melissa Kay Diliberti et al. · 2025 · 105 citations
    All ideas from this paper →
  2. Cognitive offloading or cognitive overload? How AI alters the mental architecture of coping
    Ginto Chirayath, K. Premamalini, Jeena Joseph · 2025 · 47 citations
    All ideas from this paper →
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feasibility