YAZAN
ALHELO
Healthcare Integration & AI Engineer
Forward Deployed · SIT/UAT · HL7 · AI
I take healthcare software from test bench to go-live: HL7 interfaces tested end to end across 10+ UAE hospitals, and AI clinical tools like Cura AI built and shipped myself.
The Engineer Behind
Healthcare AI
I'm a healthcare integration and AI engineer. I work where software meets the hospital floor: testing interfaces end to end, getting sign-off from clinical teams, and fixing what breaks after go-live.
My work spans both sides of healthcare technology: backend and analytics development at ClearMetrX (USA remote), processing millions of pharmacy records daily, and integration engineering at Hospinorm (Gulf Drug LLC), deploying, testing and supporting Omnicell dispensing systems across 10+ hospitals in the UAE.
Outside of work, I build AI-powered tools like Cura AI, MeetingNotes, and HL7 Viewer — products I build to solve real problems I encounter in the field.
Where I've
Made an Impact
Hospinorm (Gulf Drug LLC)
Deploy, test and support Omnicell automated dispensing systems across 10+ UAE hospitals, owning the HL7 interfaces between each hospital's EHR and the cabinets from SIT through go-live.
ClearMetrX (US)
Lead the team building ClearMetrX, a healthcare analytics platform for the US 340B drug pricing program, serving 40+ covered entities and 5 pharmacies.
Earlier Experience
Bachelor of IT in Software Engineering
Zarqa University, Jordan
2024
ExcellentProblem Solving Programming Contest, Zarqa University (Aug 2023)
IBM RAG and Agentic AI Professional Certificate (in progress)
Integration Work
In the Field
Hospital integration work from testing and go-live to production debugging, interface design and security remediation. Client and site names are withheld.
Deployment & Testing: EHR ↔ Omnicell
Before pharmacy and nursing staff can rely on a new cabinet site, every HL7 interface between the hospital's EHR and Omnicell has to be proven end to end.
Debugging in Production
Two live issues where the symptom showed up in one system and the cause sat in another.
Cerner ↔ Omnicell Interface Specification
A hospital network needed its Cerner HIS and Omnicell dispensing cabinets to exchange patient, order, dispense, charge, and inventory data through a Rhapsody integration engine.
Infusion Pump HL7 Pipeline
Infusion pumps emit HL7 ORU messages that had to be received, transformed, and stored reliably for downstream use.
Five-Hospital Hub-and-Spoke Deployment
Five hospitals were to share one central OmniCenter server, which meant cabinets at every site had to reach the hub across separate networks.
CVE Remediation on Hospital Servers
Compliance scans flagged vulnerabilities on production dispensing servers that had to be closed without breaking vendor-certified software.
What I've Built
From AI clinical platforms to desktop healthcare tools — each built to solve a real problem.
Cura AI
FeaturedLive PlatformAI Clinical Documentation Assistant
Demo uses fictional patient data.
About this project
Cura AI is built to take documentation off the clinician's plate. It transcribes the visit in 12 languages, including Arabic, labels who is speaking, and drafts the SOAP note and visit summary from the conversation. An AI assistant works from the patient chart to summarize the case, suggest a differential diagnosis and check drug interactions, and a "what if" simulator explores how a change in the case would change the picture.
Key Features
Roadmap (not built yet): HL7 ingestion · ICD-10 coding · Multi-role access · Audit logging · FHIR
Tech Stack
Bachelor's Research Papers
Research papers and implementations completed during my Bachelor's degree at Zarqa University, under academic supervisor guidance — focused on OS scheduling algorithms and performance analysis.
Select a paper
Under academic supervisor · Bachelor's degree
AI Analysis
Select a paper to get an AI-powered breakdown of the research, algorithms, and concepts.
Live AI
Demonstrations
Two interactive AI tools that showcase both my healthcare IT expertise and my ability to ship AI-powered products.
HL7 v2.x is the messaging standard used by hospitals worldwide to exchange patient data. I work with these messages daily.
HL7 Message
AI Analysis
Select a message type and click Analyze with AI to see the explanation.
What Makes Me Different
A Rare Dual Expertise
Most developers write code. Most healthcare IT consultants configure systems. I do both — which means I build software that actually works in hospital environments.
Hospital Implementation
- On-site Omnicell deployment, configuration & support
- Staff training, go-live support & issue resolution
- Item master setup with GS1 barcodes & cabinet management
- Server patching, firewall design & CVE remediation
HL7 Integration
- HL7 v2.x interfaces between Cerner, HIS platforms & Omnicell
- Mirth Connect and Rhapsody integration engines
- Functional specifications & HL7 mapping gap analysis
- SIT, UAT support, cutover planning & production troubleshooting
Full-Stack Engineering
- .NET Clean Architecture — EF Core, Dapper, Swagger
- Azure App Service, SQL Server, CI/CD pipelines
- Scalable APIs processing millions of pharmacy records
- Lead a 3-person development team
AI on Clinical Data
- Built Cura AI — live AI clinical assistant platform
- Real-time SOAP note generation from visit recordings
- RAG-ready SQL-to-text analytics models
- Multilingual transcription, including Arabic
What I'm
Building Next
Three things I'd like to build next.
Healthcare API Gateway
One API that lets any healthcare app talk to any hospital system across HL7 v2.x and FHIR.
AI Bedside Copilot
A tablet assistant at the bedside that listens, summarizes and flags what nurses and doctors need to know.
Arabic Clinical NLP
Arabic and English clinical documentation for MENA clinicians, building on what Cura AI already does in Arabic.
On the Channel
I love sharing what I know. Whether it's a deep dive into HL7, an AI tool I built, or something I learned the hard way — this channel is where I put it out in the open.
Let's Build
Something Great
Whether you're building healthcare technology, need someone to deploy and test clinical integrations, or want to collaborate on an AI product — I'd love to hear from you.
Always up to date · Last updated November 2026