Extract key details from paper denial letters using document understanding and post the information directly into the EMR to improve denial management and reduce manual entry.
DOMAIN
Revenue Cycle Middle
FUNCTION
Health Information Management (HIM)
Category
Correspondence Indexing, Routing, and Management
Status
Live
AUTHORING ORGANIZATION
Mass General Brigham
PERFORMANCE METRIC
Denial Write offs
Automation Tool
Blue Prism
TECHNOLOGIES
RPA
IDP
Applications
EPIC
HB | PB
N/A
Automation value
(as reported)
441000
Problem Statement
Health systems must manage a massive volume of unstructured payer correspondence arriving by mail, fax, and portal. Every letter must be read, indexed, and routed before downstream teams can act, and doing this manually is slow and prone to backlog. Payers send denial letters with or without a corresponding 835, so accounts must be reconciled to ensure each denial is worked appropriately. Because of these processing delays, denials frequently go unworked, leading directly to revenue leakage.
Automation Solution
This automation extracts key details from paper denial letters using document understanding, reconciles them against existing denial records, and posts the information directly into the EMR to improve denial management and reduce manual entry.
Automation Resources
PDDs, Process Flows, Presentations, and Assessments
No resources currently available
Related Automations
No related automations
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Problem Statement
Health systems must manage a massive volume of unstructured payer correspondence arriving by mail, fax, and portal. Every letter must be read, indexed, and routed before downstream teams can act, and doing this manually is slow and prone to backlog. Payers send denial letters with or without a corresponding 835, so accounts must be reconciled to ensure each denial is worked appropriately. Because of these processing delays, denials frequently go unworked, leading directly to revenue leakage.
Automation Solution
This automation extracts key details from paper denial letters using document understanding, reconciles them against existing denial records, and posts the information directly into the EMR to improve denial management and reduce manual entry.
Automation Resources
Related Automations
Comments