SmartFlowCraftSmartFlowCraftHealth
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Solutions / Radiology

Workflow automation for radiology departments and imaging centers.

From imaging order to finalized report — scan intake, AI-assisted drafting, radiologist routing, and result delivery running as a single automated pipeline inside your infrastructure.

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The Operational Problem

Radiology workflows span ordering systems, imaging hardware, PACS, RIS, AI tools, and multiple EHRs — often at different institutions. Each handoff is a manual step. Turnaround time suffers, critical findings get delayed, and radiologists spend significant time on coordination rather than interpretation.

SmartFlowCraft connects these systems into a structured pipeline. AI drafts the report. The radiologist reviews and attests. Critical findings are escalated in seconds. Results flow to the ordering EHR automatically — all running inside your cloud, with no PHI leaving your infrastructure.

What's Automated

From order to report.

Imaging order intake

Orders from referring physicians arrive via FHIR or HL7. The engine validates modality, body region, and clinical indication before routing.

DICOM ingestion

Scans upload to your PACS and cloud storage in parallel. File integrity is validated. Studies are linked to the order record automatically.

Radiologist assignment

Cases routed to radiologists based on subspecialty, workload, and turnaround requirements. Stat reads are flagged and escalated instantly.

AI-assisted report drafting

A structured draft report is generated from the imaging study using your configured AI model. Radiologists review and attest, not write from scratch.

Critical finding alerts

Findings above a configured severity threshold trigger immediate notification to the ordering provider via SMS and secure message.

Report delivery

Finalized reports delivered to the ordering provider's EHR via FHIR. Copies routed to the patient portal on a configurable delay.

Study Lifecycle

Order to final report.

1

Imaging order received from referring physician via FHIR or HL7

2

Patient scheduled → study performed at imaging center

3

DICOM files uploaded to PACS and linked to order record

4

AI model generates structured draft report from imaging study

5

Case routed to radiologist based on subspecialty and workload

6

Radiologist reviews, edits, and finalizes reportSmartFlowCraft

7

Critical findings trigger immediate provider alert

8

Finalized report delivered to EHR and patient portal

Integrations

Works with your stack.

PACS systems

DICOM study storage + retrieval

Epic / Cerner FHIR

Orders, results, patient context

HL7 v2 interfaces

Legacy ADT + order feeds

AWS Bedrock / Azure OpenAI

AI-assisted report generation

Cloud storage (S3 / Blob)

DICOM archive + backup

Twilio / SecureMessage

Critical finding alerts

Ready to automate your radiology workflow?

Book a radiology demo