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Coursework 4.9

Data Quality And Bias in Health Informatics for University Students: 2025–2026 Trends

9
Pages
Chicago
Style
~ 9–13 mins
Reading Time
UX AI Leadership
Abstract

This coursework investigates “Data Quality And Bias in Health Informatics for University Students: 2025–2026 Trends” using a qualitative grounded theory. Through a socio-technical lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Data Quality And Bias in Health Informatics for University Students: 2025–2026 Trends

ABSTRACT
Data Quality And Bias in Health Informatics for University Students: 2025–2026 Trends is unpacked across themes: equity, costs, change enablement, and usability. Limitations and future research paths are noted.
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