MedicalAI implementation case study

Medical – Regional Urgent Care Network: Intake-to-Disposition Orchestration

AI-driven intake, acuity suggestion, lab/rad ordering hooks, and discharge instruction automation across an urgent care chain.

This case study documents a real client implementation. Identifying details may be withheld where confidentiality applies.

Key takeaway

A full-stack AI automation linked intake language to clinical workflows and structured follow-up, increasing throughput and care quality simultaneously.

The engagement

From operational friction to a connected AI system

01 · Context

Business overview

Industry: urgent care. Size: 11 sites. Complexity: variable staffing, seasonal surge. Systems: Epic, CRM for employer contracts.

02 · Challenge

Core problem

Fragmented intake, triage overload, inconsistent discharge. Manual bottlenecks at peak flu season. Scale stress broke phone queues.

03 · Approach

Solution

PrimeAxiom built a patient orchestration system: NLP on intake, acuity assist aligned to protocols, integration with EHR orders, and personalized discharge packages with follow-up scheduling.

04 · Impact

Results

Door-to-provider time −23%; duplicate data entry −68%; post-visit ED bounce-backs −15% in pilot sites; nursing admin time −120 hrs/week network-wide.

System design

The full automation system

The implementation connects triggers, AI decisions, business rules, human approvals, and downstream actions in one controlled workflow.

Intake Agent structures complaints and history; Triage Assist suggests ESI-aligned pathways (non-diagnostic); orders staged for provider approval; Discharge Agent builds education and PCP follow-up.

Workflow

How the automation runs

1. Trigger: online/kiosk/on-site. 2. AI maps symptoms to structured fields. 3. FHIR resources staged. 4. Provider edits; protocol rules fire. 5. Orders, scripts, work notes; SMS instructions. 6. Provider attestation. 7. Quality metrics refine prompts.

Intelligence layer

AI agents and decision logic

Intake NLP Agent, Acuity Assist Agent, Discharge Content Agent, Follow-Up Scheduler Agent.

Under the hood

Technical architecture

BAA-covered hosting, Epic integration, auditable LLM prompts, PostgreSQL event store.

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