TruaceTracing the truth around AIMonday, July 13, 2026
TRV-2026-0128Certified recordPeer-reviewed

Who Is in the Room? Stakeholder Perspectives on AI Recording in Pediatric Emergency Care

Artificial intelligence systems that record voice and video during pediatric emergencies are emerging as human-computer interaction (HCI) technologies with direct implications for clinical work, promising improvements in documentation, team performance, and post-event debriefing. Yet the perspectives of those most affected, including clinicians, parents, and child patients, remain largely absent from the design and governance of these technologies. This position paper argues that this has direct consequences for…

Health · P Space — documented harm · certified 2026-07-13 · v1 · article view · machine-readable

Current reading — problem

When AI voice and video recording is used in pediatric emergency care, the absence of clinicians, parents, and child patients from design and governance undermines legitimacy and effectiveness, with unresolved issues around consent, emotional impact, and surveillance.

What this doesn’t fix

Position paper argument without reported empirical evaluation; stakeholder perspectives remain absent from design and governance, so legitimacy and effectiveness implications are argued rather than measured.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-0128, v1: “Who Is in the Room? Stakeholder Perspectives on AI Recording in Pediatric Emergency Care.” Truvace, 2026-07-13. /record/TRV-2026-0128 (accessed at citation time). sha256 f01e84f94a30a482

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv1f01e84f94a30

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-0128 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.