Real RPA Case Studies, Real Verifiable Solutions

Citizen Development Case Study

Industries: Healthcare

Systems: Epic, Salesforce, Oracle Enterprise Resource Planning (ERP) Cloud and Oracle Supply Chain Management (SCM), Office 365, Web and Desktop Applications

Challenge:

A large health system had begun its implementation of RPA (Robotic Process Automation) in 13 departments throughout the organization. A majority of the Bots were scheduled and in an unattended scenario performing back-office functions. Due to the current inability to scale human capital in the organization there was a need identified to take the automation to the next level and provide more value to its employees as they spent of most of their day performing “work about work”. The organization wanted to create a vehicle in which Digital Assistants could be identified, created, and run at scale for thousands of employees to save time that could be repurposed doing higher value work either with patients or other revenue generation tasks. During the discovery process of which Digital Assistant candidates could be identified, there was a shortage of strong use cases.

Solution:

To accelerate the building and identification of Digital Assistant candidates as well as making their Subject Matter Experts (SME’s) in each department more productive, the organization implemented a Citizen Development program. The goal was to identify a group of Super Users in each area. Across the organization this equated to over 200+ employees. Governance was established from the UiPath Orchestrator to federate exactly which processes could be automated. Within each department, Super Users created microbots with the use of pre-built activities that were part of the larger unattended bot initiative. This increased the time to production exponentially and, in the process, saved the Super Users time in their day-to-day activities.

With this success, more digital assistant candidates were identified.  It is estimated that the original group of Super Users saved close to 1000 hours per month in the first six months.  As they got more familiar with the UiPath StudioX platform, the hours saved has increased by 20% every six months thereafter.

Anyone! 

Cerner Encounter Payer Validation Case Study

Systems: Cerner

*We've also automated in Epic, eCW and many more! Check out or case studies and demos on our website!

Challenge:

A leading healthcare provider with over 50 hospitals needed to streamline its eligibility process utilizing Robotic Process Automation (RPA). CampTek Software, with its experience in Healthcare (RCM) and more importantly the Cerner PFS system, instituted its RPA full life cycle methodology to design the automation successfully within weeks with great success.

Full-time employees had to manually enter an encounter number, name and several other demographic information for over 670 patients daily. The workflow had many steps and variables that added to the overall complexity. The process it manages 4 payers: Aetna, Blue Cross, Humana, United Healthcare and includes business rules and exceptions for each.

Solution:

By utilizing Robotic Process Automation (RPA), CampTek Software was able to automate the entire process. The timeline from analysis, development, client acceptance and then into live production was a roughly four weeks from start to finish. The 13,000+ claim checks per month runs daily and has shown to dramatically reduce A/R days with very high success. FTE hours saved is averaging 542/month. The Bot types data into 30 fields and loops through images and handles unexpected errors in Citrix. With the success of this first RPA Bot in only one of its Central Business Organizations, the customer now plans to roll it out to an additional 21 CBO’s.

Facts about this Bot:

• Number of payers: 4 (Aetna, Blue Cross, Humana, United Healthcare)
• Exception handling: The bot handles 10 business rule exceptions, 4 manually thrown system exceptions and any other random system exceptions
• Transactions per month:  11000-14000
• Saves over 1000+ hours a month in manual hours

Healthcare, RCM, Insurance