Medical imaging and radiology
Aidoc
Clinical AI platform for radiology and enterprise imaging workflows.
Last updated: June 5, 2026
Back to directoryRad AI Continuity medical AI product profile
Radiology follow-up management product that identifies follow-up recommendations in reports, routes provider or patient communication, and tracks resolution through dashboards.
Medical imaging and radiology
Best fit
Organizations that need to close the loop on radiology follow-up recommendations with EHR/RIS integration, audit trails, and human-supervised outreach.
- Primary use case
- AI-assisted detection, categorization, communication, dashboard tracking, and resolution of follow-up recommendations from radiology reports
- Audience
- Radiology groups, health systems, quality leaders, patient navigation teams, and imaging operations teams managing incidental-finding follow-up
- Risk level
- Medium to high
- Pricing signal
- Enterprise pricing; request current follow-up category, integration, messaging, and support terms.
- Official sources
- 3 official sources
Compare within workflow: Medical imaging and radiology · comparison shortlist · source index
Regulatory, privacy, evidence, and workflow lens
Product-specific review. These product-specific signals summarize what the cited sources imply before treating Rad AI Continuity as safe for a local clinical, operational, or research workflow.
| Regulatory / FDA | Treat as radiology workflow and patient-safety infrastructure; reassess risk if the system changes recommended follow-up timing, patient instructions, escalation criteria, or care-team prioritization beyond the radiologist's report. |
|---|---|
| Privacy | Review report ingestion, patient identifiers, messaging channels, EHR/RIS links, provider fax or EHR messages, direct mail, audit logs, retention, access controls, and BAA or security documentation. |
| Evidence | Validate against local reports and follow-up programs by measuring extraction accuracy, missed recommendations, inappropriate outreach, completion rates, navigator workload, subgroup performance, and downstream outcomes. |
| Workflow | Best governed as a closed-loop radiology follow-up program with radiology, ordering-provider, navigator, compliance, and patient-communication ownership explicitly assigned. |
Where Rad AI Continuity fits
Rad AI describes Continuity as follow-up management software that identifies and categorizes recommendations from radiology reports, automates provider or patient communication when clinically appropriate, integrates with EHR/RIS workflows, and maintains dashboards and audit trails; the company security page describes SOC 2 Type II HIPAA+ certification and radiology-report de-identification.
Not for: Autonomous diagnosis, replacing radiologist recommendations, unsupervised patient messaging, or follow-up programs without clinical ownership and escalation rules.
What to verify before using Rad AI Continuity
- Which report types, incidental-finding categories, anatomy groups, consensus guidelines, and follow-up timeframes are detected and tracked.
- How recommendations are extracted from reports, classified, reconciled with radiologist intent, and routed to dashboards, providers, patients, or navigators.
- EHR, RIS, HL7, patient-message, fax, direct-mail, audit-trail, and status-update integrations, including who can close or override a follow-up.
- Local follow-up completion, false-positive tasks, missed recommendations, patient-contact safety, consent, equity, and liability review before scaling.
Source links
Use these links to confirm current claims, terms, regulatory status, pricing, and deployment requirements.
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