Robotic process automation (RPA) — We utilize RPA to advance federal government programs
The page describes robotic process automation as suited to business processes that are repetitive, systematic and rules-based, traditionally done by human workers. Optum developed the Serve Robotic Process Automation for Government (RPAG) framework, using software robots to carry out tasks normally completed by humans. Stated aims are to increase quality by lowering human error, reduce workload, create efficiencies, and improve quality, performance and compliance. This is a whitepaper/service landing page rather than a detailed case study; the specific hours/dollar figures from the prior scraped description were not found on the visible page and are presumably in the gated whitepaper.
The customer is anonymised in Optum’s own case study — not withheld by us.
Optum is UnitedHealth Group's data and analytics arm, with one of the largest raw claims and EHR-derived real-world-data footprints of any vendor in this directory.
This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.
Published by Optum on its own site — read the original case study on business.optum.com ↗
Note: Specific figures (e.g. hours/dollars saved) referenced in the prior scraped description were not present on this landing page.
Related use cases
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- 02Revolutionizing cardiology at Boulder Community Health
- 03One doctor's journey as an Optum provider
- 04How Optum supported one practice in its transition to value-based care
- 05How the Optum support system reduced one doctor's workload
- 06Case Study: Excel Medical Center Improves Patient Outcomes