Healthcare Case Study

Patient Intake: 75% faster through AI automation

Reduction of processing time from 12 hours to under 3 hours using a multi-agent framework.

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Processing Time
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Time Saved
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Intakes/Week
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Fewer Errors

The Challenge

Manual bottlenecks in patient intake led to massive delays in medical care and high burden on administrative staff.

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Unstructured Documents

Physical and digital documents had to be manually reviewed and sorted.

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Insurance Check

Complex queries with various health insurers required time-consuming phone calls.

Bottleneck 01

Manual Triage

Lack of prioritization logic meant urgent cases were stuck in queue behind standard examinations.

Bottleneck 02

HIS Data Entry

Manual transfer of patient data into the Hospital Information System (HIS) was error-prone and monotonous.

Clinical Environment

The Solution: Multi-Agent Ecosystem

An orchestrated fleet of specialized AI agents seamlessly integrated into existing workflows.

01

AI Document Agent

Extraction and classification of medical reports.

02

AI Insurance Agent

Automated cost approval verification.

03

AI Triage Agent

Intelligent prioritization based on urgency.

04

AI Data Quality Agent

Plausibility checks and data completion.

05

HIS Integration Agent

Direct interface to HL7/FHIR systems.

Business Impact: Before vs. After

Before (manual)

  • Processing Time (avg)12h
  • Error Rate8%
  • Admin Cost / CaseCHF 42
  • Staff SatisfactionLow

After (AI-automated)

  • Processing Time (avg)
    3h-75%
  • Error Rate
    1.2%-85%
  • Admin Cost / Case
    CHF 11-73%
  • Staff Satisfaction
    High
“The relief for our teams is immediately noticeable. We gain valuable time for actual patient care.”

Technical Architecture

Multi-Agent Orchestrator

The core of the system is a central orchestrator that asynchronously delegates tasks to specialized micro-agents. This enables linear scalability with increasing patient volume.

Compliance & Security

Full DSG/GDPR compliance. The system runs on-premise or in a Swiss private cloud. All data stays within the hospital network.

Data Flow Pipeline
Input Source (PDF/Fax/Scan)
OCR Agent → NLP Pipeline
HL7 / FHIR Integration Hub
HIS Database
“

Averion's implementation far exceeded our expectations. We not only increased efficiency but elevated data quality to a new level.

Head of Administration
Swiss Healthcare Company

Your intake process has potential too.

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