Use Cases
–
Most healthcare organizations in Colombia still manage medication and procedure authorizations entirely manually, generating thousands of accumulated requests and critical delays for patients.
This resulted in:
To drastically reduce approval times, eliminate the operational backlogs, and ensure a fast, traceable, and secure process for patients.
Most healthcare organizations in Colombia still manage medication and procedure authorizations entirely manually, generating thousands of accumulated requests and critical delays for patients.
This resulted in:
To drastically reduce approval times, eliminate the operational backlogs, and ensure a fast, traceable, and secure process for patients.
Approval times reduced from 45 days to
1 day
-95,2%
processing time
100%
traceable and auditable actions
97,5%
accuracy in medical information extraction
-62%
operational costs
Alan Process Intelligence is implemented as a cognitive layer on top of the authorization process.
Through its ability to understand text documents and interpret context, it:
Alan Process Intelligence is implemented as a cognitive layer on top of the authorization process.
Through its ability to understand text documents and interpret context, it:
Interprets medical orders in multiple formats
Extracts and standardizes unstructured clinical information
Cross-checks data with internal healthcare systems
Executes approvals directly within internal systems
Quality analysis and business intelligence reports.
Real-time assistance for human agents.
Continuous training and performance improvement for human agents and the system.
Metahuman assistant for query resolution.
Cognitive support for complex case resolution and decision-making.
End-to-end support across digital channels.
Voice-based support with autonomous reasoning and full query resolution.