Claims processing · Production

Louisiana Patient's Compensation Fund achieves 97% storage reduction and doubles records processing capacity with Laserfiche

The problem

The PCF manually managed complex and sensitive records for thousands of simultaneous claims and provider accounts, making document storage untenable and audit retrieval agonizingly slow, with non-compliance to a strict three-day legal deadline risking fees and legal consequences.

Workflow diagram · grounded in source
1
Records request received
Trigger
PCF staff must retrieve records within a strict three-day deadline to avoid legal consequences.
source quote
“The PCF staff must retrieve records in a timely manner: Non-compliance with a strict three-day deadline means legal consequences and fees.”
2
Automated document categorization
Ai action
Canon IRISPowerscan is trained to automatically categorize and index documents.
source quote
“training the Canon IRISPowerscan system to: Automatically categorize and index documents. Enable data search and indexing based on Laserfiche locations. Index based on pointing and clicking on any text”
3
Automatic document routing
Integration
Laserfiche automatically routes indexed documents to their final folder destination and triggers notifications for relevant staff.
source quote
“Laserfiche then automatically routes documents to their final Laserfiche folder destination once they are indexed, and triggers notifications for relevant staff”
4
Document retrieval
Output
Staff can search and retrieve the documents they need within minutes.
source quote
“staff can now easily search and retrieve the documents they need within minutes”
Reported outcome

Physical storage needs were reduced by 97%, records processing capacity doubled to over 700 records per week, and document retrieval time dropped from days to minutes, reducing errors and giving the organization peace of mind on state-level compliance.

Reported metrics
Physical storage reduction97%
Records processing capacitydoubled
Records processed per weekmore than 700
Document retrieval timeWhat previously took days now takes minutes
Show all 6 reported metrics
physical storage reduction97%
records processing capacitydoubled
records processed per weekmore than 700
document retrieval timeWhat previously took days now takes minutes
error reductionreduced errors
staff time savedsaved staff time
Reported stack
LaserficheCanon IRIS
◆ Does this fit your context?

Compare to your context

Tell us your scale, team, and constraints. We'll show what changes at your size, what fails at your scale, and whether this case is a fit, needs adaptation, or won't scale to you. Free demo, no signup.

Compare to your context →
~30 seconds · free
Source
https://www.laserfiche.com/resources/customer-stories/louisiana-patients-compensation-fund-creates-seamless-information-access/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Physical storage needs were reduced by 97%, records processing capacity doubled to over 700 records per week, and document retrieval time dropped from days to minutes, reducing errors and giving the organization peace…

What tools did this team use?

Laserfiche, Canon IRIS.

What results were reported?

Physical storage reduction: 97%; Records processing capacity: doubled; Records processed per week: more than 700; Document retrieval time: What previously took days now takes minutes (source-reported, not independently verified).

How is this claims processing AI workflow structured?

Records request received → Automated document categorization → Automatic document routing → Document retrieval.

WHAT TO DO WITH THIS

Now compare it to your context

This case is one data point. Whether its pattern fits you depends on your volumes, your stack, and your exception load — that comparison is the step no case study can do for you.