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CLIENT BUILD // Healthcare19 days, read-only, zero engineering after setup

Clinical Operations Exception Monitoring

Client: Multi-site healthcare operations team · Scale: Multi-site clinical network, tiered SLA commitments

Multi-site clinical network, T+2h breach detection, zero engineering after setup.
Healthcare3 weeksZeroRead-Only Source Sync
app.autonmis.com / clinical-sync
Clinical site log ingestion pipeline
app.autonmis.com / protocol-audit
Compliance deviation audit queue

CLIENT PROBLEM

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.

OUR SOLUTION & ARCHITECTURE

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.

SYSTEM TOPOLOGY

01

CTMS & Site Logs

Visit & protocol feed

02

Claims & Policy DB

Pre-payout schedules

03

Protocol Matcher

Deviation detection

04

Compliance Queue

Evidence-linked review

05

Audit Sign-Off

Immutable provenance

WHY IT MATTERS & SYSTEM MECHANICS

Trigger
A site's actual performance crosses a contracted SLA threshold for its tier — a missed documentation window or an escalation-level deviation.
Sources
Patient encounter system · SLA commitment database · Site-coordinator compliance file uploads
Human Loop
Every exception report moves through a draft → review → approved lifecycle before it reaches a compliance officer; ops lead handles same-day triage from the morning brief.
Three sources, no shared review.
Patient encounter data, SLA commitments, and weekly compliance uploads from site coordinators were tracked separately, with nothing checking them against each other in real time.
The weekly call was the only detection point.
A breach that happened the day after the call sat unflagged for up to a full week — not just the 48–72 hours the average implied.

BENEFITS REALISED

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

GOVERNANCE

No exception report reaches a compliance officer unreviewed — every one moves through the same draft-to-approved promotion path a published dashboard does, so the audit trail behind a single flagged breach is as complete as the one behind a metric an executive sees.

DEPLOY ON YOUR INFRASTRUCTURE

Scope a 14-day pilot on your production exports.

Read-only connections, deterministic rules, and a working system in under three weeks.