Medical records processing · Production

AGS Health revolutionizes revenue cycle operations with UiPath AI and machine learning

The problem

AGS Health ran a large, complex operation servicing many healthcare providers with high transaction volumes and substantial accounts receivable, but its teams struggled with numerous unique document formats and fax codes across hundreds of practices, creating risk of human error and staff retention issues that pushed the company toward AI and automation.

Workflow diagram · grounded in source
1
Six-month PHI governance mandate
trigger
“AGS Health, under a stringent six month timeline, sought a comprehensive solution to manage protected health information (PHI) while ensuring full governance over data interactions, user access, and the application of generative AI.”
2
Deploy Document Understanding and AI Trust Layer
ai_action
“The implementation of UiPath Document Understanding™ and UiPath AI Trust Layer delivered on all these requirements.”
3
Integrate with EHR and billing systems
integration
“Furthermore, seamless integration with clients’ electronic health records and billing systems ensured enhanced governance, security, and a minimized risk of noncompliance and penalties.”
4
Shift volume from manual to automated
output
“With the UiPath Document Understanding, we've been able to shift nearly 40% of our volume from manual to automated processes. This has been transformative, as UiPath has helped us create an efficient technology solution that has signific…”
Reported outcome

UiPath Document Understanding and the AI Trust Layer shifted nearly 40% of AGS Health's volume from manual to automated processing, lifting the accuracy rate up from 91%, decreasing manual workload, and accelerating billing cycles, while also boosting productivity, enhancing security and compliance, and reducing processing costs.

Reported metrics
Volume shifted to automationnearly 40%
Accuracy rateup from 91%
Manual workloaddecrease in manual workload
Billing cycle speedaccelerated billing cycles
Show all 7 reported metrics
volume shifted to automationnearly 40%
accuracy rateup from 91%
manual workloaddecrease in manual workload
billing cycle speedaccelerated billing cycles
processing costssubstantial decrease in processing costs
volume handledsignificantly more volume
data protection and compliancenotably improved data protection and regulatory compliance
Reported stack
UiPath Document UnderstandingUiPath AI Trust LayerUiPath Platformelectronic health recordsbilling systems
Source
https://www.uipath.com/resources/automation-case-studies/ags-health-revolutionizes-operations-with-ai-and-machine-learning
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

UiPath Document Understanding and the AI Trust Layer shifted nearly 40% of AGS Health's volume from manual to automated processing, lifting the accuracy rate up from 91%, decreasing manual workload, and accelerating b…

What tools did this team use?

UiPath Document Understanding, UiPath AI Trust Layer, UiPath Platform, electronic health records, billing systems.

What results were reported?

Volume shifted to automation: nearly 40%; Accuracy rate: up from 91%; Manual workload: decrease in manual workload; Billing cycle speed: accelerated billing cycles (source-reported, not independently verified).

How is this medical records processing AI workflow structured?

Six-month PHI governance mandate → Deploy Document Understanding and AI Trust Layer → Integrate with EHR and billing systems → Shift volume from manual to automated.

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