View Full Paper

Owner Consent Verified
Dissertation 4.8

Health Informatics Adoption in Elderly Patients: Data Quality And Bias — Post-Pandemic Lessons

12
Pages
IEEE
Style
~ 12–19 mins
Reading Time
Finance RPA Risk
Abstract

This dissertation investigates “Health Informatics Adoption in Elderly Patients: Data Quality And Bias — Post-Pandemic Lessons” using a topic modeling on open datasets. Through a behavioral lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

Download PDF Order Similar Paper Save

Health Informatics Adoption in Elderly Patients: Data Quality And Bias — Post-Pandemic Lessons

ABSTRACT
Health Informatics Adoption in Elderly Patients: Data Quality And Bias — Post-Pandemic Lessons is unpacked across themes: interoperability, change enablement, governance, and security. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
11 Pages 4.7
Urban Planning Adoption in Elderly Patients: Cost–Benefit Analysis — A Comparative Perspective
UX Risk DEI
View Paper
17 Pages 4.7
DevSecOps Adoption in Supply Chain Managers: Human Factors And Usability — Post-Pandemic Lessons
DEI Public Policy FinTech
View Paper
38 Pages 4.2
Quantum Computing Adoption in Data Science Teams: Customer Experience — Post-Pandemic Lessons
Marketing Cloud FinTech
View Paper