Healthcare & Healthtech Engineering · Ministry-Proven
For 3.5 years, we were the dedicated engineering team behind the Ministry of Health, Saudi Arabia's national services portal — patients, doctors, hospitals, pharmacies and suppliers on one bilingual platform, nationwide. Across the engagement: zero critical production defects, 100% on-time feature delivery, and no unplanned downtime on the modules we owned.
From national systems of record to an AI-native EMR with voice scribing and agentic automation — we build healthcare software, and the AI that works inside it.
No sales deck. Bring one workflow still running on paper, phone calls or Excel — leave with a realistic plan and an honest cost range.
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Ward operations · Ward 3B
Live queueMAR · Bed 12
Metformin 500mg · 14:00
Scheduled activity moved to Due Now
Housekeeping · Room 304
Spill reported at 13:41
Missed → follow-up task auto-created and assigned, with context
Nurse call · Bed 19
Assistance requested
Accepted by S. Rao · 00:42 elapsed
Meals · Bed 07
Diabetic lunch · delivered
Closed by kitchen staff at 13:12
Every action timestamped and attributable. The AI drafts and flags; a human approves.
The record
Nine healthcare systems now running in production — EMR, hospital operations, credentialing, pharmacy, denial management and accountable AI.
3.5 yrs
Ministry of Health, Saudi Arabia — dedicated engineering partnership
Zero
Critical production defects recorded across the 3.5-year engagement
100%
On-time feature delivery across the engagement, sprint after sprint
6 domains
EMR, hospital ops, credentialing, pharmacy, denials, accountable AI — all live in production
Anyone can list “hospital management system” on a services page. Very few teams have shipped clinical software into a live national platform — where a regression in a billing module becomes a patient problem by Monday, and a release can never take the system down. The Ministry of Health, Saudi Arabia trusted us to expand their mission-critical portal module by module, release after release, for three and a half years. That record — not a portfolio of screenshots — is what we bring to your hospital, ministry, or healthtech product. If you would rather see the work before the words: our case studies list every system we have shipped, what it replaced, and the stack it runs on.
Who we work with
Four kinds of team, one thing in common: software where a quiet failure becomes somebody's clinical or financial problem.
You bring the domain insight; we bring a healthcare engineering bench with RBAC, audit trails and CPT/HCPCS coding standards from sprint one — so your first enterprise security review isn't your funeral.
The manual movement of data between portals, EMRs, spreadsheets, PDFs, email and claims systems — we automate that, with human-in-the-loop review, auditability and exception handling built in, not bolted on.
Nurse-call queues, meal ordering, rosters, internal billing, EMR — the systems your floor staff live in all shift. Built by engineers who map the ward's real workflow, including the parts that happen on paper and WhatsApp.
For teams operating at national or multi-site scale: we've worked inside a ministry's IT unit for 3.5 years and know what “audit-ready, nationwide, can't go down” actually means.
Flagship engagement
The hard part of healthcare software is not the first release. It is adding services to a live system that millions of citizens already depend on.
Not a greenfield build. We worked as an extension of the Ministry's internal IT unit, expanding a mission-critical bilingual portal used by patients, doctors, nurses, hospital staff, pharmacy teams, suppliers and government administrators — module by module, with feature isolation so no release could put the whole platform at risk.
Peak concurrent load held through national vaccination drives, on high-availability AWS architecture with separated dev, staging and production environments.
In production
Each one replaced a workflow that was running on phone calls, paper or a desktop application.
01
Bedside requests for nursing, housekeeping and meals used to arrive by phone, with the front desk as the bottleneck. We replaced the calls with a patient app, a live staff queue and an admin dashboard.
02
Paper-based medical staff onboarding turned into a single-window digital platform — credentialing, document collection, eSignature, location-specific compliance rules, task tracking and reporting.
03
A desktop-bound denial system rebuilt as a secure, scalable web platform, with an AI denial-resolution assistant and a workbench designed around how reviewers actually clear a queue.
What we build
Every one of these is something we have shipped and supported in a live clinical or government environment — not a service listed in the hope of winning the work.
01Automation
Registration, records access, appointment & test booking, digital reports, home-care requests, and the manual data movement between portals, EMRs, spreadsheets, PDFs, email and claims systems that eats your team's day.
02Operations
Nurse call and service queues, housekeeping, meal ordering, shift & roster management, internal billing. The systems the floor staff live in all shift.
03Clinical
One patient timeline from registration to discharge: history, vitals, diagnoses, e-prescribing, lab & radiology orders, results, IPD admission, billing — with role-based views and every change written to an audit trail.
04Workforce
Onboarding, document collection, eSignature, licence-expiry tracking, location-specific compliance — with an audit trail that stands up to inspection.
05Pharmacy
Inventory portals, stock threshold alerting, distribution & delivery tracking, supplier registration and compliance workflows.
06AI
AI scribing, agentic assistants, prior-auth completion, rules-based clinical alerting, RPA and exception handling — all running in production. Our design rule across every system: the AI drafts, recommends and flags; a human reviews, approves and can always override. No exceptions.
Security & reliability
Clinical systems cannot be taken down for a weekend cutover, and a regression in a billing module is a patient problem by Monday. These are the practices behind an engagement that recorded zero critical production defects across three and a half years:
Role-based access control across every module
OAuth authentication and access logging
CPT and HCPCS coding standards supported
Separated dev, staging and production environments
Feature isolation to prevent system-wide regressions
Full regression testing before every deployment
Experience delivering against HIPAA-aligned data handling, CPT/HCPCS coding standards, and government audit requirements. Bring your compliance checklist to the first call.
Have a security questionnaire? Send it before the call — we'll answer it live.
How we engage
The model that worked for a national health ministry works for a hospital group or a digital health platform: one team, long-term ownership, your sprint cadence.
01
We map the workflow as it runs on the floor today, including the parts that happen on paper and on WhatsApp.
02
Data model, integrations, access roles and coding standards agreed before any interface is designed.
03
Agile sprints with controlled releases and feature isolation, so a new module cannot destabilise a live one.
04
The same team stays on after launch. The engineers who learn your clinical workflow in year one are the ones still supporting it in year three. No vendor handover risk.
The entry point
This isn't the free call. It's for teams who already know they want to move and would rather start with a scoped, paid deliverable.
A focused, 5-day engagement to map one workflow — where the manual work happens, what a first automated version looks like, and a real cost range for building it.
Fixed price
$2.5k–$4k
Start with the AssessmentOne workflow, mapped and scoped — the deliverable is yours either way.
FAQ
Our flagship work was not greenfield. We extended a live national portal module by module without downtime. Modernising a system while it keeps running is our default mode, not an exception.
A production EMR where an AI scribe turns the patient conversation into a completed record, agents auto-fill forms and prior authorizations, and a rules engine alerts providers to high-risk answers instantly — with one hard constraint we never break: the AI never takes a final action. A human approves everything. That's what we mean by accountable AI.
In our case: role-based access on every module, access logging, separated environments, no production data in development. Bring your compliance requirements to the first call — we'll walk through them line by line.
Scoped after clinical discovery — but you'll leave the first 30-minute call with an honest range and, just as important, a clear view of what not to build.
That's the ideal starting point. Several of our production systems started as exactly one workflow running on phone calls or paper.
Start a conversation
Bring a workflow that still runs on phone calls, paper or a desktop application. You will leave the call with:
You'll be speaking directly with an engineer, not a salesperson.
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