Artificial intelligence for nursing data visibility in health technology assessment: policy architecture and implementation considerations

: Integrating scoping, governance, and routine-data evidence can improve HTA validity, equity, and implementability for team-based care models where outcomes are co-produced by multidisciplinary work.

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Publication Details

Journal
Contemporary Nurse
Published
2026-04-03
DOI
https://doi.org/10.1080/10376178.2026.2651084
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Artificial intelligence for nursing data visibility in health technology assessment: policy architecture and implementation considerations

Kazumi Kubota
Contemporary Nurse
Artificial Intelligence in Healthcare and Education
article

Artificial intelligence for nursing data visibility in health technology assessment: policy architecture and implementation considerations

Kazumi Kubota
article en

Abstract

: Integrating scoping, governance, and routine-data evidence can improve HTA validity, equity, and implementability for team-based care models where outcomes are co-produced by multidisciplinary work.

Contemporary Nurse
Shimonoseki City University (JP), University of Tokyo Hospital (JP), Health and Global Policy Institute (JP), Global Policy Institute (US)
University of Tokyo
Openalex Percentile: Top 28%
Artificial Intelligence in Healthcare and Education
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