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Policy Brief 4.7

Robotic Process Automation Adoption in Hospital Administrators: Data Quality And Bias — Post-Pandemic Lessons

12
Pages
Harvard
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~ 12–20 mins
Reading Time
Sociology Public Policy Marketing
Abstract

This policy brief investigates “Robotic Process Automation Adoption in Hospital Administrators: Data Quality And Bias — Post-Pandemic Lessons” using a qualitative grounded theory. Through a economic lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Robotic Process Automation Adoption in Hospital Administrators: Data Quality And Bias — Post-Pandemic Lessons

ABSTRACT
Robotic Process Automation Adoption in Hospital Administrators: Data Quality And Bias — Post-Pandemic Lessons is unpacked across themes: usability, risks, governance, and security. Limitations and future research paths are noted.
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