Leveraging AI and Hyper-Automation for Cloud-Native Process Optimization in Healthcare for Hospital Admission and Discharge Automation

Leveraging AI and Hyper-Automation for Cloud-Native Process Optimization in Healthcare for Hospital Admission and Discharge Automation

Madhavi Damle (Symbiosis Institute of Digital and Telecom Management, India) and Achlendra Raj (Capgemini, India)
Copyright: © 2025 |Pages: 36
DOI: 10.4018/979-8-3693-9356-7.ch012
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Abstract

Hospitals face challenges with inefficient paper-based workflows, manual data entry, and fragmented communication in admission and discharge processes. This section introduces a blueprint for cloud RPA to address these issues, enhancing hospital operations with cloud-native software practices. RPA, combined with OCR, speeds up digitization and integrates hospital data, enabling data-driven decisions. The section also discusses the risks of RPA and cloud implementation but highlights their benefits, especially in reducing human contact. This transformative technology improves productivity and patient care while supporting compliance and governance.
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