Regional Health Network Cuts Patient Admin Backlog by 80% with Agentic AI

Industry:
About the Client

MedBridge Health Systems — MedBridge Health Systems is a mid-sized regional hospital network operating 14 facilities across the US, handling over 2.4 million patient interactions annually across billing, scheduling, records management, and compliance reporting.

Reviewed on
Rated 5 out of 5
80%

Reduction in admin backlog

40K+

Staff hours recovered per year

99.2%

Claims accuracy post-automation

4 wks

Time-to-value from go-live

The Challenge

MedBridge was overwhelmed by manual data entry across disparate EHR, billing and scheduling platforms. Clinical staff spent up to 3 hours per shift on administrative tasks, updating patient records, reconciling insurance claims, and generating compliance reports leaving less time for patient care. Error rates in claims submissions were running at nearly 12%, resulting in costly denials and resubmissions.

What did
Automate Stacks do

Automate Stacks deployed a multi-layer intelligent automation solution combining RPA bots with an Agentic AI layer capable of making contextual decisions during claims processing. Working in two phases:

Phase 1 : RPA Delivery: Bots were deployed across the patient scheduling system, insurance verification portal and EHR platform to automate data capture, eligibility checks, and record updates in real time.

Phase 2 : Agentic AI Layer: An autonomous decision-making agent was layered onto the claims workflow to triage denials, suggest corrective codes, resubmit claims without human intervention in straightforward cases, and escalate complex edge cases to billing specialists.

The Results

Technology Used

UiPath
Agentic AI
HL7/FHIR APIs
Azure OpenAI
Python
Java

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