How to Use Aidoc for Care coordination follow-up

Aidoc works well for care coordination follow-up when you run it like production work: locked brief, SOURCE facts, then review before publish. Aidoc is clinical imaging AI with care coordination for hospitals, including PACS/EHR-integrated workflows and prioritized critical findings. Enterprise pricing only. Clinicians must follow hospital governance for AI-assisted imaging. Start at /explore/aidoc.

This guide focuses on care coordination follow-up in detail. Related Aidoc articles: /blog/how-to-use-aidoc-for-radiology-prioritization-review, /blog/how-to-use-aidoc-for-cardiology-module-workflows, /blog/how-to-use-aidoc-for-neurovascular-alert-paths.

When this workflow is the right job

Use care coordination follow-up when the deliverable is specifically this Aidoc job. Switch to critical finding notification workflows when that workflow already owns the asset.

Step by step workflow

1. Brief Care coordination follow-up

Write what must stay true for care coordination follow-up in Aidoc before settings or spend.

Brief: Care coordination follow-up
Keep: verified SOURCE facts only
Avoid: invented pricing or features
Success: one reviewable output

2. Open Aidoc for Care coordination follow-up

Use the Aidoc surface that owns care coordination follow-up. Do not mix a neighboring workflow in the same pass.

Surface: Care coordination follow-up
Start: pilot with one representative input
Plans: www.aidoc.com

3. Pilot Care coordination follow-up

Run a single care coordination follow-up pilot. Score clarity, grounding, and whether the output is reviewable.

Pilot: Care coordination follow-up
[ ] SOURCE facts match
[ ] Output reviewable
[ ] Settings logged

4. Refine Care coordination follow-up

Change one care coordination follow-up dimension only. Save a template from the best run.

Refine: Care coordination follow-up
Change: one control only
Keep: SOURCE and success criteria

Practical care coordination follow-up examples

Radiology queue

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Radiology queue" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Radiology queue without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Radiology queue
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Radiology queue → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Radiology queue with timestamps, acknowledgements, and open exceptions.

Cardiology flag

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Cardiology flag" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Cardiology flag without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Cardiology flag
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Cardiology flag → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Cardiology flag with timestamps, acknowledgements, and open exceptions.

Neurovascular path

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Neurovascular path" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Neurovascular path without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Neurovascular path
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Neurovascular path → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Neurovascular path with timestamps, acknowledgements, and open exceptions.

Admin utilization

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Admin utilization" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Admin utilization without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Admin utilization
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Admin utilization → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Admin utilization with timestamps, acknowledgements, and open exceptions.

After-hours escalate

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "After-hours escalate" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for After-hours escalate without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for After-hours escalate
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for After-hours escalate → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for After-hours escalate with timestamps, acknowledgements, and open exceptions.

False positive review

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "False positive review" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for False positive review without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for False positive review
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for False positive review → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for False positive review with timestamps, acknowledgements, and open exceptions.

Priority reorder

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Priority reorder" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Priority reorder without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Priority reorder
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Priority reorder → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Priority reorder with timestamps, acknowledgements, and open exceptions.

Care team ping

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Care team ping" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Care team ping without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Care team ping
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Care team ping → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Care team ping with timestamps, acknowledgements, and open exceptions.

Sign-off gate

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Sign-off gate" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Sign-off gate without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Sign-off gate
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Sign-off gate → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Sign-off gate with timestamps, acknowledgements, and open exceptions.

Protocol checklist

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Protocol checklist" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Protocol checklist without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Protocol checklist
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Protocol checklist → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Protocol checklist with timestamps, acknowledgements, and open exceptions.

Shift handoff

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Shift handoff" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Shift handoff without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Shift handoff
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Shift handoff → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Shift handoff with timestamps, acknowledgements, and open exceptions.

Audit trail row

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Audit trail row" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Audit trail row without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Audit trail row
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Audit trail row → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Audit trail row with timestamps, acknowledgements, and open exceptions.

Exception log

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Exception log" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Exception log without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Exception log
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Exception log → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Exception log with timestamps, acknowledgements, and open exceptions.

Training reminder

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Training reminder" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Training reminder without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Training reminder
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Training reminder → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Training reminder with timestamps, acknowledgements, and open exceptions.

Governance note

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Governance note" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Governance note without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Governance note
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Governance note → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Governance note with timestamps, acknowledgements, and open exceptions.

PE critical alert

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "PE critical alert" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for PE critical alert without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for PE critical alert
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for PE critical alert → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for PE critical alert with timestamps, acknowledgements, and open exceptions.

SLA stopwatch check

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "SLA stopwatch check" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for SLA stopwatch check without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for SLA stopwatch check
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for SLA stopwatch check → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for SLA stopwatch check with timestamps, acknowledgements, and open exceptions.

On-call ack

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "On-call ack" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for On-call ack without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for On-call ack
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for On-call ack → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for On-call ack with timestamps, acknowledgements, and open exceptions.

Follow-up order

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "Follow-up order" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for Follow-up order without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for Follow-up order
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for Follow-up order → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for Follow-up order with timestamps, acknowledgements, and open exceptions.

PACS sync note

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "PACS sync note" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for PACS sync note without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for PACS sync note
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for PACS sync note → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for PACS sync note with timestamps, acknowledgements, and open exceptions.

EHR handoff

Scenario:
A hospital team operationalizes Aidoc Care coordination follow-up around "EHR handoff" under local governance.

Objective:
Document and execute a reviewable Care coordination follow-up checklist for EHR handoff without treating AI as sign-off.

Inputs:
- Encounter/study identifiers allowed by policy
- SLA and escalation path for EHR handoff
- Care team contacts
- Governance checklist

Workflow:
Confirm integration context → Run Care coordination follow-up steps for EHR handoff → Notify/ack → Document times → Clinician review

Requirements:
- Stay within verified Aidoc capabilities; do not invent features.
- Confirm live plan notes on www.aidoc.com before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Clinician review before clinical decisions or billing.

Expected output:
A completed Care coordination follow-up checklist for EHR handoff with timestamps, acknowledgements, and open exceptions.

How to improve care coordination follow-up

Cut noise from care coordination follow-up by removing extra adjectives while preserving SOURCE facts in Aidoc.

Raise quality by insisting on a single success check before debating style.

Make review easier by labeling fields that must never change.

Speed iteration by cloning the last good run and altering only one control.

Stabilize outputs by pinning settings after the pilot is approved.

Reduce rework by rejecting drafts that invent claims.

Improve handoffs by recording which control produced the best result.

Harden the workflow by testing an incomplete input before trusting defaults.

Prompting and usage guidance

Name the care coordination follow-up job, audience, and success check before opening Aidoc.

Paste only verified facts under SOURCE so Aidoc cannot invent details.

Specify the deliverable shape up front.

Call out fixed details versus flexible style choices.

Ask Aidoc to flag unsupported claims before you accept the draft.

Limitations to respect

Check Aidoc plan gates for care coordination follow-up on www.aidoc.com before you promise timelines.

Keep drafts unpublished until a human confirms SOURCE facts.

Aidoc can be wrong. Treat care coordination follow-up as provisional until review.

If documentation is silent on a claim, leave it out rather than guessing.

Practical tips for this workflow

Pilot once before batching care coordination follow-up in Aidoc.

Keep a reusable template with variables for care coordination follow-up.

Separate creative instructions from SOURCE facts.

Log settings from the best run.

Common mistakes

• Skipping the pilot run before scaling volume
• Inventing pricing, quotas, or features not on official pages
• Mixing unrelated workflows in one session
• Publishing without a human review gate

Treat care coordination follow-up in Aidoc as a production workflow: brief, pilot, refine, then ship with review. Related reading: /blog/how-to-use-aidoc-for-radiology-prioritization-review, /blog/how-to-use-aidoc-for-cardiology-module-workflows, /blog/how-to-use-aidoc-for-neurovascular-alert-paths.