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Policy Brief 4.3

InsurTech for Elderly Patients: Data Quality And Bias | Post-Pandemic Lessons

9
Pages
APA
Style
~ 9–15 mins
Reading Time
Blockchain Supply Chain DevSecOps
Abstract

This policy brief investigates “InsurTech for Elderly Patients: Data Quality And Bias | Post-Pandemic Lessons” using a topic modeling on open datasets. Through a socio-technical lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

InsurTech for Elderly Patients: Data Quality And Bias | Post-Pandemic Lessons

ABSTRACT
InsurTech for Elderly Patients: Data Quality And Bias | Post-Pandemic Lessons is unpacked across themes: equity, change enablement, security, and ethics. Limitations and future research paths are noted.
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