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You will get a secure, AI-ready PACS/RIS medical imaging backend

Shah E Rome W.Status: Offline
Shah E Rome W. Shah E Rome W.
4.8
Top Rated
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Shah E Rome, priced and ready to go.
Shah E Rome W.Status: Offline
Shah E Rome W. Shah E Rome W.
4.8
Top Rated
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Shah E Rome, priced and ready to go.

Project details

Need a reliable developer to build or integrate a Radiology Information System (RIS) or PACS solution that meets healthcare compliance standards? With 7+ years of experience, I specialize in architecting secure, scalable, and high-performance imaging backends for clinics, research labs, and health-tech startups.

You’ll get full PACS/RIS integration using Orthanc or dcm4chee, with DICOM routing, HL7 for EHR/EMR sync, audit-logged patient data storage, and REST APIs built using Django or FastAPI. I ensure HIPAA-compliant architecture and Azure-based deployment. Optional AI modules can also be integrated for diagnostics or image interpretation using tools like OpenAI or HuggingFace.

I’ve built diagnostic systems trusted by clinicians and researchers alike. From secure DICOM viewers to AI-enhanced diagnostic flows, my deliverables are modular, production-ready, and built with scale in mind.

Ideal for clinics, research teams, and AI-driven startups that need reliable, compliant imaging infrastructure—delivered cleanly and efficiently.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software Maintenance
AI Tools
Amazon SageMaker, Azure Machine Learning, Deeplearning4j, Keras, MATLAB, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$100
Standard
$500
Advanced
$1,500
Delivery Time 7 days 14 days 21 days
Number of Revisions
123
AI Model Integration
Detailed Code Comments
Knowledge Graph
Model Documentation
Ontology
Source Code
Taxonomy
4.8
15 reviews
87% Complete
(13)
13% Complete
(2)
1% Complete
(0)
1% Complete
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1% Complete
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MF

Mauricio F.
4.85
Sep 18, 2025

MF

Mauricio F.
4.30
Aug 15, 2025
Shah E Rome W.Status: Offline

About Shah E Rome

Shah E Rome W.Status: Offline
Senior Python Engineer | PACS, DICOM, HIPAA | FastAPI Backend
100% Job Success
4.8  (15 reviews)
Islamabad, Pakistan - 4:40 pm local time
Medical imaging and healthcare backends are complex — I make them production-ready.
I specialize in PACS/DICOM workflows, radiology AI pipelines, HIPAA-compliant platforms, and AI-assisted imaging pipelines for hospitals, clinics, and healthtech startups. From architecture to cloud deployment, I deliver secure, scalable systems that meet clinical standards.

Beyond medical imaging, I also architect high-performance Python backends for SaaS and AI platforms — scalable APIs, microservices, and cloud deployments built for production.
I specialise in FastAPI microservices for healthcare platforms — HIPAA-compliant, production-ready and clinically reliable.

🚀 What I Deliver (End-to-End Ownership)
✅ Backend & system architecture
✅ Scalable APIs and microservices
✅ Healthcare & Medical Imaging platforms (PACS / DICOM)
✅ Python backend systems for SaaS & AI platforms
✅ Cloud, Ubuntu server & on-prem deployments
✅ CI/CD, DevOps & production automation
✅ Application security & compliance-ready systems
✅ OHIF Viewer customization for radiology workflows

I don't just build features — I design, deliver, and support complete production systems.

🧠 Core Technical Expertise

🏗️ Backend Development
Python, Django, FastAPI
REST APIs, Microservices, Docker, Kubernetes
PostgreSQL, Redis, Celery, OAuth

☁️ Cloud, Deployment & DevOps

AWS, Azure, GCP
Ubuntu servers & on-prem hospital infrastructure
CI/CD: GitHub Actions, GitLab CI, Jenkins
Infrastructure as Code: Terraform, Ansible
Monitoring: Prometheus, Grafana, ELK, CloudWatch

🩺 Healthcare, Medical Imaging & Radiology

Radiology AI backends — PACS to diagnostic workflow integration
PACS & DICOM Infrastructure (Orthanc, dcm4chee, OHIF Viewer v3)
OHIF Viewer (v3) customization, Cornerstone.js, and VTK.js for 2D/3D rendering.
CT, MRI, X-Ray, Ultrasound workflows
AI-based image classification & triage
Secure hospital ↔ cloud / on-prem connectivity
AI-generated radiology & medical reports
HIPAA-ready handling of PHI data
Medical imaging AI pipelines (pynetdicom, pydicom)

🔐 Security & Compliance (HIPAA & ISO)

Healthcare-grade application security
HIPAA Compliance & ISO-aligned architectures
OWASP Top 10 hardening
Data encryption: AES, RSA, TLS
Secure audit logs, API gateways & firewall-aware design

📊 Selected Highlights

✔ Built AI-powered PACS-integrated medical imaging platforms
✔ Delivered full-stack healthcare dashboards used in production
✔ Improved backend throughput by 40%+
✔ Deployed systems on cloud and on-prem hospital environments
✔ Reduced deployment time by 50% using CI/CD automation
✔ Led security hardening for healthcare-grade compliance

Steps for completing your project

After purchasing the project, send requirements so Shah E Rome can start the project.

Delivery time starts when Shah E Rome receives requirements from you.

Shah E Rome works on your project following the steps below.

Revisions may occur after the delivery date.

Requirement Gathering & Planning

We’ll define your goals (PACS setup, RIS integration, AI diagnostics, etc.) and finalize architecture.

Environment Setup

Prepare the development environment, install Orthanc/dcm4chee, and configure DICOM listeners.

Review the work, release payment, and leave feedback to Shah E Rome.