Case Studies
Healthcare

Clinical Operations Exception Monitoring

A healthcare operations team reduced SLA breach detection from T+48 hours to T+2 hours — without a single engineering sprint after initial setup.

T+48h → T+2h

SLA Breach Detection

19 days

Time to Live

Zero

Engineering Dependency

The Situation

A healthcare operations team managing clinical site performance had patient encounter data in one system, site SLA commitments tracked in a separate database, and weekly compliance reports uploaded as files by site coordinators. There was no unified view. SLA breaches — delayed reports, missed documentation windows, threshold crossings — were typically discovered during the weekly review call, 48–72 hours after they occurred. Compliance management required a traceable chain from detected exception to documented resolution, which manual processes could not reliably provide.

Current State — Before Autonmis
Broken

Data sources

Patient Encounter System

Clinical site activity data

SLA Commitment DB

Site-level contracted thresholds

Site Coordinator Files

Weekly compliance uploads

No unified view — sources never sync

Manual ops process

01Pull exports from each source
02Cross-reference manually
03Build exception report
04Find issues — usually too late

Failure events

T+48h breach discovery
Weekly review is the only alert
No traceable exception chain for compliance
The approach

The Approach

1

Connect your sources

Patient system, SLA database, and coordinator file uploads connected — read-only, 19-day setup.

2

Configure SLA rules per site tier

Documentation windows, escalation thresholds, and breach definitions written in plain language.

3

Autonmis monitors continuously

Automated evaluation runs on schedule. Breaches surface in 2 hours with full traceable chain.

After

Patient Encounter System

Clinical site activity data

SLA Commitment DB

Site-level contracted thresholds

Site Coordinator Files

Weekly compliance uploads

Autonmis

Governed Intelligence Layer

Knowledge Base

rules · thresholds · logic

Morning Exception Brief
Real-time Breach Alerts
Compliance-Ready Reports

Connected to all three source types. The Knowledge Base was configured with SLA definitions, documentation window rules, and escalation thresholds specific to each site tier. Autonmis ran automated cross-source evaluation on a schedule, comparing actual site performance against contracted SLA thresholds and flagging exceptions before they became compliance events. Exception briefs were delivered to the ops lead each morning. When a threshold crossing occurred during the day, a Slack alert fired with the site, the specific SLA dimension, and the time elapsed since the breach. The lifecycle governance layer — draft → review → approved on every published analysis — meant every exception report that reached a compliance officer had been formally reviewed and promoted.

Results

T+48 hours → T+2 hours

SLA breach detection

Previously found at weekly review call

~70% reduction

Weekly compliance prep time

Exception reports generated and reviewed automatically

Day one

Traceable exception-to-resolution chain established

Every breach has documented detection and resolution

Zero

Engineering dependency post-setup

Ops team manages rules and thresholds independently

19 days

Time to first live exception alert

From initial source connection to production monitoring

Implementation

Time to live

3 weeks

Sources connected

3

Engineering dependency

Zero

Ready to see it in your stack?

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Three sources. No engineering dependency. First automation in under three weeks.

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