Healthcare AI & software

AI Powered Healthcare solutions built for hospitals across Saudi Arabia, UAE & US

We design, build and run hospital information systems, EMRs and patient apps, and the AI that sits on top of them: assistants, triage, scheduling and automation that clinicians can trust.

15+Years in Healthcare
30+Systems in Production
5Countries Served
HL7 · FHIRInteroperability Built in
// Trusted by
Almana General Hospital●PCIT — Pangea Cloud●SynQAIC Technologies●VenoCare●ARAK Company●Ozone Clinic●Annex Health●
What We Build

Core Healthcare Systems with AI built in

Every system we deliver across the care journey is designed to carry AI, not have it bolted on later.

Patient Apps

Booking, telehealth, test results, medications and bill payment in one app.

Bilingual assistant answers routine questions 24/7

Provider Apps

Real-time tools that take admin friction off clinicians' plates.

Drafted notes and summaries for clinician review

Hospital Information System (HIS)

The operational backbone that keeps every department running.

Demand forecasting for beds, staff and supplies

Laboratory Information Systems (LIMS)

Sample tracking, results and a clean handoff to the EMR.

Flags out-of-range and delayed results automatically

Electronic Medical Record (EMR/EHR)

One patient record, shared securely across departments.

Document AI turns scanned records into structured data

Telehealth & Virtual Care

Video consults, remote monitoring and follow-up care.

Symptom intake routes patients before the call

Medical Claims & CRM

Claims, billing and revenue-cycle workflows, end to end.

Pre-submission checks catch likely rejections

Scheduling & Workforce

Shifts, attendance and coverage planned in one view.

Slot matching that cuts waits and no-shows

AI Agents & Automation

Agents that take on routine admin and clinical support tasks.

Every agent action is logged and reviewable

Dashboards & Analytics

Live operational and clinical reporting for leadership.

Ask questions of your data in plain language

Interoperability & APIs

Connecting systems that were never built to talk.

AI-assisted mapping to FHIR and clinical codes

Legacy Modernization

Moving older systems onto a modern, maintainable stack.

AI-accelerated code analysis and migration


Case studies

Proof, Not Promises

Systems we built, run and keep improving for hospital groups and health tech platforms.

Flagship engagement

Almana General Hospital

A multi specialty hospital group in Saudi Arabia. Pikessoft has delivered a portfolio of systems spanning clinical operations, patient experience and hospital administration.

The challenge

An ageing hospital management system slowed admin work and couldn't support the digital patient experience the group wanted to offer.

What we built

A modern HIS, lab system and patient and doctor apps, rolled out in phases alongside live operations.

  • Hospital Information System (HIS)
  • Lab Information Management (LIMS)
  • Customer Management System (CMS)
  • Patient Application (Mobile)
  • Doctor App (Mobile)
  • Analytics & Reporting
  • Legacy Modernization
  • AI Workflow Optimization

“Our hospital management system needed a complete overhaul. Pikessoft understood the complexities of healthcare IT and delivered a solution that reduced admin processing time by 40%. Three years in, they’re still our trusted partner.”

Shater Abdurahman, IT Director, Almana General Hospital
Read the full case study →
Almana hospital information system interface across desktop and mobile
8+Hospitals
62Specialties
40%Admin Processing Time
3+ yrsTech Partnership
Case study

PCIT

PCIT builds unified EMR/EHR solutions. Pikessoft has delivered multiple modules across their platforms, extending functionality across the healthcare ecosystem.

The challenge

Several products (medical file, EMR, virtual hospital, claims) had to share data cleanly and meet regional exchange standards.

What we built

Platform modules on a shared integration layer speaking HL7, FHIR and NABIDH, plus AI agents inside the platform.

5+Modules Delivered
7Standards Supported
20 MillionRecords Processed
  • Unified Medical File
  • EMR & EHR
  • Virtual Hospital
  • E Claim App
  • KDB App
  • AI Agents
Interoperability

Built to interoperate over HL7, FHIR, CPT, ICD-10, LOINC, SNOMED and NABIDH standards.

Case study

Annex Health

Annex Health dispatches clinicians to patients' homes for testing, screening and wellness services. Pikessoft designed and built its digital platforms end to end.

The challenge

Take bookings online, coordinate clinicians and dispatch them to homes nationwide, at short notice and at scale.

What we built

Public website, patient app, operations and admin platforms, and third-party integrations on AWS.

10,000Home Visits Handled
15,000Booking to Dispatch
99%Uptime
  • Public Website
  • Patient Mobile App
  • Healthcare Operations platform
  • 3rd Party Integrations
  • Admin Portal
AI Capabilities

Our Key AI capabilities

Seven building blocks we deploy inside hospital and clinic workflows, in Arabic and English, always with a human in the loop.

01

AI Virtual Assistant

Instant answers. Fewer calls. Patients self serve.

Answers appointment, results and billing questions in Arabic and English, and hands off to staff when it should.

Arabic & EnglishSelf ServiceStaff Handoff
02

Intelligent Patient Triage

Right patient. Right care. Right time.

Structured symptom intake that recommends a care level and routes the patient, with clinicians owning the final call.

Symptom IntakeCare RoutingPatient History
03

AI Driven Scheduling

Smarter slots. Shorter waits. Fewer no shows.

Matches patients to slots using history and availability, and predicts no-shows so they can be backfilled.

Slot MatchingWait Time ReductionNo-Show Reduction
04

Automated Patient Engagement

Timely nudges. Steady contact. No manual chasing.

Reminders, pre visit instructions and post discharge check-ins that run automatically across SMS, app and WhatsApp.

RemindersFollow-upsMultichannel
05

Clinical Data Insights

Patterns surfaced. Care teams aligned.

Summarises patient records and flags gaps in care so teams walk into each encounter prepared.

Record SummariesCare GapsCare Coordination
06

Predictive Analytics

Anticipate demand. Get ahead of risk.

Forecasts admissions, bed and staffing demand, and flags patients at risk of readmission.

Demand ForecastingRisk ModelsReal-Time Data
07

Smart Workflow Automation

Less busywork. More time for care.

Agents and document AI that take coding, claims preparation and data entry off your staff.

Document AICoding & ClaimsTask Routing
How we work

From first call to AI in production

Start small, prove value on a real workflow, then scale what works.

01

Discovery

1 ~ 3 Days

We map your systems, data and the workflows where AI will pay off first.

  • Opportunity shortlist with expected impact
  • Data and integration readiness review
  • Fixed scope pilot proposal
02

Pilot

2 ~ 4 Weeks

One workflow, live with real users, measured against metrics agreed up front.

  • Working feature in production
  • Evaluation and safety report
  • Results against agreed metrics
03

Scale & run

Ongoing

Roll out across sites and workflows, with monitoring and continuous improvement.

  • Phased roadmap across departments
  • Monitoring and reliability engineering
  • Ongoing feature delivery

Engineering & trust

The engineering behind the AI

Applied AI

LLM & AI AgentsRAGLLM EvaluationNLPsDocument AIMedical Billing AssistPredictive models

Models & hosting

Private Model HostingAzure OpenAIAWS BedrockOpen Weight ModelsPython / PyTorch

Engineering & cloud

React & TypeScriptNode.jsiOS & AndroidAWSPostgreSQLKubernetesData pipelines

Interoperability

HL7FHIRHIE connectionsCPT / ICD-10 / LOINC / SNOMEDNABIDHNPHIES

Privacy & access control

Role-based access, audit trails and data segmentation built into every system handling patient or operational data.

Interoperability & governance

Integrations built against recognized healthcare data standards, with data-sharing terms and governance defined before a record moves.

Reliability & observability

Monitoring, logging and incident response built in from day one, not bolted on after a system goes down.

Privacy, security and auditability by design. We build to the requirements of each market we work in and can deploy in-region where data residency rules apply. Formal certifications (e.g. HIPAA, SOC 2, HITRUST) are scoped per engagement.

Solutions

Our Healthcare Technology Solutions

Workflow agents for intake, scheduling and documentation, plus OCR and extraction that turn records into structured data. Every automation sits inside your existing review and approval steps.

Workflow AgentsDocument AINatural-Language DataHuman Review

Web and mobile applications for patients and providers, custom platforms for clinics, hospitals and digital health products, and the APIs and backends underneath them.

Web & MobileCustom PlatformsAPIs & BackendModernization

HL7, FHIR and HIE connections, EMR/EHR and laboratory integration, claims and RCM links, and ingestion of data from third-party devices and IoT.

HL7 / FHIREMR & LISClaims & RCMDevices & IoT

Operational and clinical dashboards, pipelines that join data from disparate systems, reporting for administrators and care teams, and data models ready for analytics and AI.

DashboardsData PipelinesReportingData Modeling

Cloud architecture and migration, environment provisioning and DevOps, and monitoring, logging and reliability engineering that scale with your patient volumes.

Cloud MigrationDevOpsMonitoringScalability

Patient portals and self service tools, provider scheduling and workflow apps, and telehealth interfaces designed for clinical and non-clinical users alike.

Patient PortalsProvider AppsTelehealthInclusive Design
FAQ

Questions healthcare teams ask us

The things that come up on almost every first call.

Where is our patient data processed when you use AI?

Wherever your regulations require. We can run models in private cloud environments or in-region, and we design every AI feature so patient data never leaves the boundary agreed in your engagement.

Do you use our patient data to train AI models?

No. Your data is used only to run your system. We don't use client data to train shared or third-party models.

How do you make sure the AI is accurate and safe?

Every AI feature is tested against real-world scenarios before go-live, runs with human review for clinical decisions, logs what it did and why, and is monitored after launch.

Does your AI work in Arabic?

Yes. Our assistants and document AI are built for Arabic and English, including mixed-language conversations common in Gulf healthcare settings.

What does a first AI project look like?

Usually a focused pilot on one workflow, such as appointment queries or claims pre-checks, with success metrics agreed up front. If it hits them, we scale it.

What kinds of healthcare organizations do you work with?

Hospital systems, specialty clinics, EMR/EHR platform companies, revenue-cycle and billing operations, and digital health products — across Saudi Arabia, the UAE and the United States.

Do you build HIPAA-compliant software?

We design every system for privacy, access control, auditability and data segmentation from day one. We don't claim regulatory certifications such as HIPAA, SOC 2 or HITRUST unless they're contractually in scope and verified for your specific engagement.

Which EMR/EHR and healthcare data standards do you integrate with?

We build against HL7, FHIR, CPT, ICD-10, LOINC, SNOMED, NABIDH and HIE connections, and we've integrated directly with EMR/EHR, laboratory and RCM systems.

Can you add AI to a system we already run, rather than rebuilding it?

Yes. Most of our AI work — virtual assistants, triage, scheduling, predictive analytics, workflow automation — is layered onto systems our clients already run, not built as a replacement.

How long does a typical engagement take?

It depends on scope. A single module can ship in a few months; a multi-system platform, like a hospital information system or a full EMR suite, is typically phased over a longer roadmap. We size it after a discovery call.

Do you support the system after launch?

Yes. We stay on for monitoring, reliability engineering and ongoing feature work rather than handing off and disappearing after go-live.

Can you work alongside our in-house engineering team?

Yes — we regularly work inside a client's existing review, approval and deployment processes rather than replacing their team or workflows.

Ready to Build?

Ready to put AI to work
inside your hospital?

Start with a focused pilot on one workflow. We'll map your systems, agree the metrics and show value before you scale.