Epic-on-FHIR Patient Access Workflow Builder
Supports patient access organizations with two related capabilities: reusable low-code Epic on FHIR workflow enablement for patient, clinician, and administrative apps, and governed employee access to generative AI tools with controls for compliance, data protection, and safe use.
The Problem
“Patient access workflow enablement on Epic FHIR plus governed employee access to generative AI”
Organizations face these key challenges:
Epic OAuth and SMART on FHIR integration details are complex for low-code teams
FHIR resource access varies by workflow and requires careful scope and error handling
One-off app integrations create duplicated effort and inconsistent security controls
Unmanaged employee use of public generative AI tools risks PHI/PII leakage
Impact When Solved
The Shift
Human Does
- •Define each patient, clinician, and admin workflow and request Epic access for each app
- •Manually configure user access, review scopes, and handle integration exceptions case by case
- •Draft staff communications, summaries, and knowledge responses manually or through unmanaged public AI tools
- •Monitor policy compliance through training, spot checks, and manual audit follow-up
Automation
- •No meaningful AI support in the workflow
- •Public generative tools may be used informally without approved controls or logging
- •Basic low-code automation may move data between steps without policy-aware guidance
Human Does
- •Approve workflow use cases, access policies, and acceptable employee AI use boundaries
- •Review high-risk exceptions, regulated decisions, and escalations from patient access workflows
- •Validate sensitive drafts or summaries when confidence is low or policy requires oversight
AI Handles
- •Standardize Epic-connected workflow steps for patient, clinician, and administrative use cases
- •Guide approved employee drafting, summarization, and knowledge support within policy constraints
- •Detect sensitive content, enforce redaction and access rules, and block disallowed requests
- •Log activity, monitor usage for compliance issues, and route exceptions for human review
Operating Intelligence
How it works
AI watches every signal continuously.
Humans investigate what it flags.
False positives train the next watch cycle.
Who is in control at each step
Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.
Step 1
Observe
Step 2
Classify
Step 3
Route
Step 4
Exception Review
Step 5
Record
Step 6
Feedback
AI lead
Autonomous execution
Human lead
Approval, override, feedback
AI observes and classifies continuously. Humans only engage on flagged exceptions. Corrections sharpen future detection.
The Loop
6 steps
Observe
Continuously take in operational signals and events.
Classify
Score, grade, or categorize what is coming in.
Route
Send routine items to the right path or queue.
Exception Review
Humans validate flagged edge cases and adjust standards.
Authority gates · 1
The system must not approve new employee AI use cases, access policies, or acceptable-use boundaries without human approval.[S1]
Why this step is human
Exception handling requires contextual reasoning and organizational judgment the model cannot reliably provide.
Record
Store outcomes and create the operating audit trail.
Feedback
Corrections and outcomes improve future performance.
1 operating angles mapped
Operational Depth
Real-World Use Cases
Power Platform apps for Epic on FHIR patient/clinician/admin workflows
A Power App can connect to Epic's FHIR APIs using an Epic app registration, so teams can build patient, clinician, or admin workflows without custom Epic integration code.
Operational productivity with controlled access to generative AI tools
Give staff approved AI assistants like ChatGPT to help with work, but only inside rules that protect sensitive information and track results.