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cloud.google.com·7h ago
AI Research
arXiv CS.AI·Sep 9·5 min read
A Data-Driven Framework for Identifying and Prioritizing RPA Opportunities in Healthcare Processes
TL;DR
A data-driven framework was developed to systematically identify and prioritize Robotic Process Automation (RPA) opportunities in healthcare, significantly improving the selection process. The framework includes modules for process taxonomy, prioritization, tool selection, and ROI analysis, leading to better resource allocation and financial forecasting.
✦ Why It Matters
Implement this framework to enhance RPA project selection and maximize financial returns in your healthcare organization.
Key Takeaways
- Utilize the Process Taxonomy to identify suitable processes for RPA.
- Apply the Automation Suitability Index for informed prioritization decisions.
- Select the most cost-effective automation tools based on process complexity.
- Quantify potential ROI to justify RPA investments before implementation.
How It Works
The framework integrates four modules: a Process Taxonomy categorizes hospital processes into five value streams, while the Prioritization module uses an Analytic Hierarchy Process to derive an Automation Suitability Index. This index helps rank processes based on their suitability for automation.
The Tool-Tier Selection module recommends the least expensive automation technology appropriate for the complexity and compliance needs of each process. Finally, the Return-on-Investment module calculates potential labor savings and net present value, providing a comprehensive financial outlook.