View Full Paper

Owner Consent Verified
Case Study 4.8

Health Informatics Adoption in Data Science Teams: Data Quality And Bias — Post-Pandemic Lessons

13
Pages
IEEE
Style
~ 13–20 mins
Reading Time
Green Finance Leadership HCI
Abstract

This case study investigates “Health Informatics Adoption in Data Science Teams: Data Quality And Bias — Post-Pandemic Lessons” using a panel regression with fixed effects. Through a economic lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

Download PDF Order Similar Paper Save

Health Informatics Adoption in Data Science Teams: Data Quality And Bias — Post-Pandemic Lessons

ABSTRACT
Health Informatics Adoption in Data Science Teams: Data Quality And Bias — Post-Pandemic Lessons is unpacked across themes: costs, interoperability, security, and risks. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
21 Pages 4.9
Adoption Barriers in Sustainability for Healthcare Providers: A difference-in-differences analysis
Blockchain RPA Sociology
View Paper
17 Pages 4.3
Social Media Marketing for Retail Banks: Operational Excellence | Evidence from West Africa
Leadership Marketing InsurTech
View Paper
32 Pages 4.4
DEI Strategies for Rural Communities: Equity And Access | A Comparative Perspective
InsurTech Green Finance MLOps
View Paper