Radiology Information App Backend Template
Manage imaging orders, study metadata, modality workflows, and radiologist reporting from one backend
A production-ready Radiology Information backend on Back4app for imaging requests, DICOM study metadata, specialist reading workflows, and report delivery. Use it to accelerate radiology portals, worklists, and hospital integrations across web and mobile.
Key Takeaways
This template gives you a radiology-focused backend for intake-to-report workflows so your team can ship imaging operations software faster with consistent data contracts.
- Imaging-first data model — Model requests, studies, radiologists, and reports in a workflow-friendly structure designed for radiology operations.
- DICOM metadata tracking — Store key study-level metadata such as accession number, modality, study UID, body part, and acquisition timestamps for indexing and search.
- Report lifecycle support — Handle draft, in-review, amended, and finalized reports with assignment and turnaround tracking.
- Audit and traceability — Track who created, updated, reviewed, or finalized diagnostic content to support governance and troubleshooting.
- Cross-platform APIs — Serve radiology worklists and reporting screens through REST and GraphQL with optional Live Queries for status changes.
What Is the Radiology Information App Backend Template?
Back4app is a managed backend for rapid product delivery. The Radiology Information App Backend Template models imaging requests, DICOM study metadata, radiologist assignments, and report workflows so teams can deliver radiology systems faster and with less infrastructure work.
Best for:
Overview
Radiology workflows depend on precise coordination between order intake, study acquisition, metadata indexing, specialist assignment, and report turnaround.
This template defines ImagingRequest, Study, Radiologist, Report, and AuditEvent with ownership rules and optional Live Queries so teams can implement radiology workflows quickly and safely.
Core Radiology Information Features
Every technology card in this hub uses the same Radiology Information schema with ImagingRequest, Study, Radiologist, Report, and AuditEvent.
Imaging request intake
Track requests with patient references, ordering clinician details, priority, indication, and requested modality.
Study records and DICOM metadata
Store study identifiers, accession number, modality, study UID, body part, performed date, and status.
Radiologist registry and assignment
Maintain specialist profiles, subspecialties, availability indicators, and links to authenticated users.
Diagnostic report workflow
Manage draft, review, amendment, and final report states with timestamps and reviewer context.
Audit events and turnaround tracking
AuditEvent captures operational actions such as assignment changes, report finalization, and metadata corrections.
Why Build Your Radiology Information Backend with Back4app?
Back4app gives you a secure backend contract for imaging operations so your team can focus on worklists, reading experiences, and report delivery instead of backend plumbing.
- •Workflow-ready entities: Predefined classes for requests, studies, radiologists, and reports help you implement common radiology flows without designing everything from zero.
- •Searchable metadata and governance: Store structured DICOM-related fields and audit events so studies are easier to find, route, and review across teams.
- •Realtime and API flexibility: Use Live Queries for reading queue updates while exposing REST and GraphQL for hospital, PACS-adjacent, or notification integrations.
Standardize imaging request and reporting workflows across web and mobile with one backend contract and reduce time-to-market for radiology products.
Core Benefits
A radiology workflow backend that helps you ship faster while preserving structure, visibility, and control.
Faster imaging workflow rollout
Start from a pre-built request-to-report model so you can focus on clinician portals, reading queues, and diagnostic UX.
Structured metadata from day one
Store key DICOM-related study fields in a canonical schema for filtering, routing, and downstream integrations.
Clear review and approval flows
Model report lifecycle states explicitly so draft, review, amendment, and finalization are easy to manage.
Real-time worklist visibility
Live Queries can surface newly assigned studies, priority changes, or finalized reports immediately to relevant screens.
Extensible integration layer
Connect to scheduling systems, notification services, portals, or archive workflows through REST or GraphQL.
AI-assisted scaffolding
Use the AI Agent prompt to scaffold the backend, seed realistic records, and accelerate demos or pilots.
Ready to streamline radiology workflows?
Let the Back4app AI Agent scaffold the Radiology Information backend and seed sample requests, studies, specialists, and reports from one prompt.
Free to start — 50 AI Agent prompts/month, no credit card required
Technical Stack
Everything included in this Radiology Information backend template.
ER Diagram
Entity relationship model for the Radiology Information schema.
Schema covering imaging requests, studies, radiologists, reports, and audit events.
View diagram source
erDiagram
ImagingCenter ||--o{ Modality : "operates"
ImagingCenter ||--o{ ImagingRequest : "receives"
User ||--o{ ImagingRequest : "orders"
Modality ||--o{ ImagingRequest : "scheduled_for"
ImagingRequest ||--o{ DicomStudy : "produces"
DicomStudy ||--o{ Report : "interpreted_as"
ImagingRequest ||--o{ WorklistItem : "creates"
User ||--o{ WorklistItem : "assigned"
User ||--o{ Report : "authors"
User ||--o{ AuditEvent : "actor_of"
User {
String objectId PK
String username
String email
String password
String role
String displayName
String specialty
Date createdAt
Date updatedAt
}
ImagingCenter {
String objectId PK
String name
String code
String location
String contactNumber
Date createdAt
Date updatedAt
}
Modality {
String objectId PK
Pointer imagingCenter FK
String name
String type
String dicomAETitle
String status
Date createdAt
Date updatedAt
}
ImagingRequest {
String objectId PK
String patientId
String patientName
String accessionNumber
String studyDescription
String priority
String status
Pointer requestedBy FK
Pointer imagingCenter FK
Pointer scheduledModality FK
Date scheduledAt
String clinicalIndication
Date createdAt
Date updatedAt
}
DicomStudy {
String objectId PK
Pointer imagingRequest FK
String studyInstanceUID
Number seriesCount
Number instanceCount
String modalityType
String bodyPartExamined
Date performedAt
String pacsLocation
String metadataStatus
Date createdAt
Date updatedAt
}
Report {
String objectId PK
Pointer dicomStudy FK
Pointer radiologist FK
String status
String findings
String impression
Boolean criticalFlag
Date signedAt
Number version
Date createdAt
Date updatedAt
}
WorklistItem {
String objectId PK
Pointer imagingRequest FK
Pointer assignedTo FK
String queueType
String status
Date dueAt
String notes
Date createdAt
Date updatedAt
}
AuditEvent {
String objectId PK
Pointer actor FK
String action
String targetClass
String targetId
String details
Date timestamp
}
Integration Flow
Auth-to-CRUD flow for radiology login, imaging request retrieval, study registration, and report finalization.
View diagram source
sequenceDiagram
participant User as Radiology Staff
participant App as Radiology Information App
participant Back4app as Back4app Cloud
User->>App: Sign in to worklist
App->>Back4app: POST /login (username, password)
Back4app-->>App: Session token + user role
User->>App: Open today's imaging queue
App->>Back4app: GET /classes/WorklistItem?include=imagingRequest,assignedTo
Back4app-->>App: Worklist items with request context
User->>App: Register completed scan and DICOM metadata
App->>Back4app: POST /classes/DicomStudy (imagingRequest, studyInstanceUID, seriesCount, modalityType, metadataStatus)
Back4app-->>App: DicomStudy object + objectId
App->>Back4app: PUT /classes/ImagingRequest/{id} (status: completed)
Back4app-->>App: Updated ImagingRequest
User->>App: Draft and sign specialist report
App->>Back4app: POST /classes/Report (dicomStudy, radiologist, findings, impression, status: signed, signedAt)
Back4app-->>App: Signed Report saved
App->>Back4app: POST /classes/AuditEvent (action: report_signed, targetClass: Report, targetId)
Back4app-->>App: AuditEvent saved
Back4app-->>App: Live Query events (new urgent requests, signed reports)
App-->>User: Real-time queue and report status updatesData Dictionary
Full field-level reference for every class in the Radiology Information schema.
| Field | Type | Description | Required |
|---|---|---|---|
| objectId | String | Auto-generated unique identifier | Auto |
| username | String | Login username for clinicians and radiology staff | |
| String | User email address | ||
| password | String | Hashed password (write-only) | |
| role | String | Role in the workflow (admin, scheduler, technologist, radiologist, referring_physician) | |
| displayName | String | Full name displayed in the radiology workspace | — |
| specialty | String | Clinical specialty such as neuroradiology or orthopedics | — |
| createdAt | Date | Auto-generated creation timestamp | Auto |
| updatedAt | Date | Auto-generated last-update timestamp | Auto |
9 fields in User
Security and Permissions
How ACL, roles, and CLP strategy secure imaging requests, study metadata, and specialist reports.
Role-based access
Use roles such as admin, radiologist, technician, and coordinator to scope CRUD actions and screen visibility.
Assignment-aware permissions
Restrict report drafting and study updates to assigned specialists or operational staff while preserving controlled review paths.
Protected audit history
AuditEvent records should be append-only and shielded from client-side deletion so workflow history remains trustworthy.
Schema (JSON)
Raw JSON schema definition ready to copy into Back4app or use as implementation reference.
{
"classes": [
{
"className": "User",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"username": {
"type": "String",
"required": true
},
"email": {
"type": "String",
"required": true
},
"password": {
"type": "String",
"required": true
},
"role": {
"type": "String",
"required": true
},
"displayName": {
"type": "String",
"required": false
},
"specialty": {
"type": "String",
"required": false
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "ImagingCenter",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"name": {
"type": "String",
"required": true
},
"code": {
"type": "String",
"required": true
},
"location": {
"type": "String",
"required": false
},
"contactNumber": {
"type": "String",
"required": false
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "Modality",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"imagingCenter": {
"type": "Pointer",
"required": true,
"targetClass": "ImagingCenter"
},
"name": {
"type": "String",
"required": true
},
"type": {
"type": "String",
"required": true
},
"dicomAETitle": {
"type": "String",
"required": false
},
"status": {
"type": "String",
"required": true
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "ImagingRequest",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"patientId": {
"type": "String",
"required": true
},
"patientName": {
"type": "String",
"required": true
},
"accessionNumber": {
"type": "String",
"required": true
},
"studyDescription": {
"type": "String",
"required": true
},
"priority": {
"type": "String",
"required": true
},
"status": {
"type": "String",
"required": true
},
"requestedBy": {
"type": "Pointer",
"required": true,
"targetClass": "User"
},
"imagingCenter": {
"type": "Pointer",
"required": true,
"targetClass": "ImagingCenter"
},
"scheduledModality": {
"type": "Pointer",
"required": false,
"targetClass": "Modality"
},
"scheduledAt": {
"type": "Date",
"required": false
},
"clinicalIndication": {
"type": "String",
"required": false
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "DicomStudy",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"imagingRequest": {
"type": "Pointer",
"required": true,
"targetClass": "ImagingRequest"
},
"studyInstanceUID": {
"type": "String",
"required": true
},
"seriesCount": {
"type": "Number",
"required": false
},
"instanceCount": {
"type": "Number",
"required": false
},
"modalityType": {
"type": "String",
"required": true
},
"bodyPartExamined": {
"type": "String",
"required": false
},
"performedAt": {
"type": "Date",
"required": false
},
"pacsLocation": {
"type": "String",
"required": false
},
"metadataStatus": {
"type": "String",
"required": true
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "Report",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"dicomStudy": {
"type": "Pointer",
"required": true,
"targetClass": "DicomStudy"
},
"radiologist": {
"type": "Pointer",
"required": true,
"targetClass": "User"
},
"status": {
"type": "String",
"required": true
},
"findings": {
"type": "String",
"required": false
},
"impression": {
"type": "String",
"required": false
},
"criticalFlag": {
"type": "Boolean",
"required": false
},
"signedAt": {
"type": "Date",
"required": false
},
"version": {
"type": "Number",
"required": true
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "WorklistItem",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"imagingRequest": {
"type": "Pointer",
"required": true,
"targetClass": "ImagingRequest"
},
"assignedTo": {
"type": "Pointer",
"required": false,
"targetClass": "User"
},
"queueType": {
"type": "String",
"required": true
},
"status": {
"type": "String",
"required": true
},
"dueAt": {
"type": "Date",
"required": false
},
"notes": {
"type": "String",
"required": false
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "AuditEvent",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"actor": {
"type": "Pointer",
"required": true,
"targetClass": "User"
},
"action": {
"type": "String",
"required": true
},
"targetClass": {
"type": "String",
"required": true
},
"targetId": {
"type": "String",
"required": true
},
"details": {
"type": "String",
"required": false
},
"timestamp": {
"type": "Date",
"required": true
}
}
}
]
}Build with AI Agent
Use the Back4app AI Agent to generate a full Radiology Information app from this template, including frontend, backend, auth, worklists, and report workflow screens.
Create a Radiology Information backend on Back4app with this exact schema and behavior. Schema: 1. ImagingRequest: requestNumber (String, required), patientId (String, required), patientName (String), orderingClinician (String), priority (String: routine, urgent, stat), modalityRequested (String), clinicalIndication (String), status (String: requested, scheduled, performed, cancelled), objectId, createdAt, updatedAt. 2. Study: imagingRequest (Pointer to ImagingRequest, required), accessionNumber (String, required), studyInstanceUID (String, required), modality (String), bodyPart (String), performedAt (Date), dicomMetadata (JSON), status (String: queued, acquired, reading, reported), objectId, createdAt, updatedAt. 3. Radiologist: user (Pointer to built-in User, required), fullName (String), subspecialties (Array), active (Boolean), contact (JSON), objectId, createdAt, updatedAt. 4. Report: study (Pointer to Study, required), author (Pointer to Radiologist), reviewer (Pointer to Radiologist, optional), status (String: draft, in_review, amended, final), findings (String), impression (String), finalizedAt (Date, optional), objectId, createdAt, updatedAt. 5. AuditEvent: actor (Pointer to User), targetClass (String), targetId (String), action (String), details (JSON), timestamp (Date) — append-only. Security: - Role-based CLP and ACL: only coordinators and admins can create or update ImagingRequest scheduling fields; only assigned radiologists or admins can edit draft Reports; only reviewers or admins can finalize Reports. AuditEvent is append-only and read-restricted. Auth: - Users sign up and log in via built-in User; roles assigned by admin. Behavior: - Authenticate user, load imaging requests, create or update a Study with DICOM metadata, draft a Report, and write an AuditEvent entry for each significant operation. Deliver: - Back4app app with schema, ACLs, CLPs, Cloud Code validations, seeded sample data, and a frontend scaffold per chosen technology.
Press the button below to open the Agent with this template prompt pre-filled.
This base prompt describes the radiology schema and behaviors; you can select tech-specific suffixes afterward.
API Playground
Try REST and GraphQL endpoints against the Radiology Information schema. Responses use mock data and do not require a Back4app account.
Uses the same schema as this template.
Choose Your Technology
Expand each card for integration steps, state patterns, data model examples, and offline notes.
Flutter Radiology Information Backend
React Radiology Information Backend
React Native Radiology Information Backend
Next.js Radiology Information Backend
JavaScript Radiology Information Backend
Android Radiology Information Backend
iOS Radiology Information Backend
Vue Radiology Information Backend
Angular Radiology Information Backend
GraphQL Radiology Information Backend
REST API Radiology Information Backend
PHP Radiology Information Backend
.NET Radiology Information Backend
What You Get with Every Technology
Every stack uses the same Radiology Information backend schema and API contracts.
Unified radiology data structure
Standardized data models for imaging requests and DICOM studies.
Real-time report tracking for radiology
Monitor the status of reports and imaging requests in real-time.
Secure sharing for radiology workflows
Safely share sensitive imaging data and reports with authorized users.
REST/GraphQL APIs for radiology
Access and manage your data efficiently with flexible APIs.
Radiologist assignment management
Streamline the assignment of tasks to radiologists for improved efficiency.
Extensible framework for radiology
Easily customize and extend the backend to meet specific radiology needs.
Radiology Info Framework Comparison
Compare setup speed, SDK style, and AI support across all supported technologies.
| Framework | Setup Time | Radiology Info Benefit | SDK Type | AI Support |
|---|---|---|---|---|
| About 5 min | Single codebase for radiology info on mobile and web. | Typed SDK | Full | |
| Under 5 minutes | Fast web dashboard for radiology info. | Typed SDK | Full | |
| ~3–7 min | Cross-platform mobile app for radiology info. | Typed SDK | Full | |
| Rapid (5 min) setup | Server-rendered web app for radiology info. | Typed SDK | Full | |
| ~3–5 min | Lightweight web integration for radiology info. | Typed SDK | Full | |
| About 5 min | Native Android app for radiology info. | Typed SDK | Full | |
| Under 5 minutes | Native iOS app for radiology info. | Typed SDK | Full | |
| ~3–7 min | Reactive web UI for radiology info. | Typed SDK | Full | |
| Rapid (5 min) setup | Enterprise web app for radiology info. | Typed SDK | Full | |
| Under 2 min | Flexible GraphQL API for radiology info. | GraphQL API | Full | |
| Quick (2 min) setup | REST API integration for radiology info. | REST API | Full | |
| ~3 min | Server-side PHP backend for radiology info. | REST API | Full | |
| ~3–7 min | .NET backend for radiology info. | Typed SDK | Full |
Setup time reflects expected duration from project bootstrap to first radiology worklist populated with ImagingRequest and Study data.
Frequently Asked Questions
Common questions about building a Radiology Information backend with this template.
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