aceCode With Care: A Strategic Blueprint for Nurse-Led AI in Healthcare
Aim Artificial intelligence (AI) is reshaping healthcare delivery. This work aims to explore how nursing expertise can be fully integrated into the development of AI-based health technologies and to assess the implications for clinical practice, education, leadership, industry, policy and research. Methods This qualitative expert elicitation study drew on data generated during a structured three-day international think tank hosted by the Brocher Foundation in November 2024. Interdisciplinary experts in nursing,…
Structural barriers limit nurse participation in AI innovation, and legal and ethical concerns reveal a gap between nurses' accountability and their authority over AI-enabled care.
The recommendations come from expert elicitation and the authors state they require empirical validation before their value can be established.
Evidence
- Peer-reviewedJournal of Advanced Nursing2026-10-07
How should this claim be treated?
Truvace Impact Record TRV-2026-1752, v1: “Code With Care: A Strategic Blueprint for Nurse-Led AI in Healthcare.” Truvace, 2026-10-17. /record/TRV-2026-1752 (accessed at citation time). sha256 8d28e8deb8ec8c8d…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-1752 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.