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Parenting Journal · Volume 2 · Issue 5 · Licensed source edition

Pathways to family-centered healthcare: co-designing AI solutions with families in pediatric rehabilitation

Originally published 2025-10-30 · Frontiers in Robotics and AI
Frontiers Media SA · DOI 10.3389/frobt.2025.1594529 ↗

CollaborationParticipatory co-design/design-fiction studyCC BY 4.0
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AI / system type

Hypothetical AI rehabilitation assistant and design fiction; no deployed LLM or effectiveness trial

Direct parenting evidence

Directly addresses parents or caregiving, including parent studies, syntheses and audits of parenting advice.

The AI connection

The workshop explicitly co-designed possible AI-supported pediatric rehabilitation services through fictional future scenarios.

Why this reading matters

A strong example of including families early enough to shape the purpose and boundaries of AI, with concrete questions parents can bring to care teams.

Editorial reading guide · Collaboration

If our family helped design an AI care tool, which daily problem and relationship should it support first?

Families helped define what an AI rehabilitation assistant should do rather than being asked merely to accept a finished device. The online MiniCoDe workshop elicited everyday difficulties and used design fiction to imagine support, including flexible prompts, clinician communication, and help that fitted household routines. Privacy, cost, oversight, and preserving human empathy were part of the design problem.

Study context

Nine Italian families of children with unilateral cerebral palsy, four clinicians, and two computer-science facilitators

Age / stage: Children 5–14 years

Read with three questions

  1. Which proposed functions came from families’ lived routines rather than the technology team’s initial assumptions?
  2. How did families balance a child’s autonomy with caregiver and clinician oversight?
  3. What would need to be tested with children before these imagined features could be treated as helpful rehabilitation support?

Keep the limits in view

This was a small, selected workshop associated with a particular rehabilitation project and country. Design-fiction proposals are not a working-product evaluation; no clinical, independence, burden, or safety benefit was demonstrated. Adult family accounts and workshop dynamics can also constrain the visibility of children’s own preferences.

The text below is the original article’s licensed repository edition. Its wording is not rewritten. Use the Paper Agent beside the text to locate evidence; open the source for figures, tables and complete context.

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Attribution & reuse

Follow the original.

Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.

Silvia Filogna; Giovanni Arras; Tommaso Turchi; Giuseppe Prencipe; Elena Beani; Clara Bombonato; Francesca Fedeli; Gemma D’Alessandro; Antea Scrocco; Giuseppina Sgandurra (2025). Pathways to family-centered healthcare: co-designing AI solutions with families in pediatric rehabilitation Frontiers in Robotics and AI. https://doi.org/10.3389/frobt.2025.1594529

Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.