One backbone for the
health of a nation.
Clinical care, public health, and patient engagement on a single, governable, standards-based platform — designed for ministries, hospital chains, and donor programs across Asia, the Middle East, and Africa.
Ghasi eHealth is an enterprise eHealth ecosystem: an electronic health record at the core, layered with patient engagement, virtual care, e-prescribing, laboratory, radiology, revenue cycle, immunizations, and population health — bound together by standards-first interoperability, Offline-First field operation, and an AI-First governed gateway. The same backbone scales from a single rural clinic to a private hospital chain to a national program.
Most health systems in our regions still run on paper, point products, and donor-funded silos.
A clinic chain in Damascus. A district hospital in Kabul. A primary-care network in Lagos. Different countries — same broken stack. The cost is invisible until a child gets the wrong vaccine schedule, an outbreak is detected weeks late, or an operator cannot answer a basic question about their own population.
Across emerging markets, the typical health facility runs on a stack that grew by accident:
- A paper register for outpatient visits, often the only true source of truth.
- A standalone HMIS data-entry tool for monthly aggregate reporting.
- An independent immunization tracker (often Excel) for EPI campaigns.
- A separate lab tool for results and a different system for pharmacy.
- A donor-mandated reporting tool layered on top — usually entered twice.
What this stack costs an operator — public or private:
- Patients repeat their history at every visit; allergies and chronic conditions get re-asked, re-missed, re-prescribed.
- Vaccines are duplicated, missed, or expired in cold-chain because no system tracks the dose and the recipient.
- Outbreaks are detected from monthly paper aggregates instead of from real cases.
- Maternal and child indicators live in spreadsheets that disagree with each other.
- Operators, ministries, and donors get late, partial, and uncomparable data — and lose confidence in the system that provides it.
Ghasi eHealth replaces that fragmented stack with one platform. Identity is shared. The chart, the lab, the pharmacy, the immunization register, the patient app, and the public-health export are views of the same record — governed under one access policy, one audit log, and one consent model.
One backbone for any country.
Ghasi eHealth is designed, from day one, to be the digital backbone of national health — at every scale. The same platform is engineered to serve a single private clinic, a regional hospital chain, and a national ministry's data centre. The platform has been specified, architected, and is ready for its first deployments.
Vision (normative): Enable safe, standards-based, equitable digital health for any country, hospital chain, or donor program ready to leave fragmented stacks behind — one backbone that connects facilities, pharmacies, laboratories, public-health reporting, and research, under local governance, with standards-first interoperability and auditability.
Reference jurisdictions and active engagements
The platform was specified and architected against the operational realities of specific jurisdictions, and is in live conversation with operators across the regions below. Each card describes the role the country plays in the platform's story today.
Afghanistan
Original reference jurisdiction. The platform was conceived from day one for Afghan national deployment — RTL-language (Pashto / Dari), Solar Hijri calendar, sovereign on-prem, offline-first, and public-health design choices are grounded in Afghan MoPH operational reality. The architectural reference for the platform's national-scale posture.
Syria
Active engagement. Exploratory conversation with a Syrian private clinic chain looking to modernise on a national-grade platform, with a clear path to a public-sector partnership when policy and scale align. The same backbone supports both phases — chain first, country-wide next.
Asia · MENA · Africa
Target deployment regions. Multi-language, multi-calendar, multi-currency, sovereign-hosting posture is built in — not retrofitted per country.
Patient → System → Country — one lifecycle, one record
The platform follows the patient through every meaningful encounter, and rolls those encounters up — responsibly, with consent and de-identification where required — into the indicators an operator actually needs to govern public health.
Offline-First — works where the network doesn't.
Most digital health systems collapse the moment connectivity does. Ghasi eHealth assumes the network is unreliable, and works anyway — every clinic, every device, every shift.
A vaccinator can spend a week in a remote district with no signal, record every dose to the right child against the right schedule with the right lot number — and sync the entire campaign on Friday without losing a single record. That is what Offline-First means here.
Where work happens offline
Clinic-floor desktop
The full clinical workstation runs on a single desktop application that captures every action locally and syncs when the network returns. No browser tab to lose.
Patient mobile app
Patients access their own chart, results, and appointments even with no signal. Notifications and refresh happen on reconnect — without re-typing a thing.
Staff mobile
Community health workers, vaccinators, and on-the-go clinicians operate from a route or household bundle pre-loaded for the day. No connectivity required in the field.
Signed offline bundles
Ward bundles (up to 200 patients), CHW household bundles, vaccinator route bundles, and campaign bundles ship signed, encrypted, and ready to work disconnected.
What it does well
Captures and queues
Every clinical action is committed locally and queued for sync. Encrypted local storage with per-tenant key isolation — a stolen device cannot be opened against another tenant.
Syncs cleanly
One sync protocol across every surface. No silent overwrites. No lost vitals. No duplicate orders. Idempotent on every retry — replays are safe.
Conflict-safe by design
Vitals append. Allergies hold for clinician review on severity changes. Prescriptions hold for review on any conflict. Signed clinical notes are immutable. Every aggregate has a documented policy.
Field-grade
Designed for intermittent, low-bandwidth, and expensive networks. Engineered for hours-to-days offline operation; resumes without ceremony. UPS-aware shutdown and auto-restart.
AI-First — intelligence at the bedside, governed by design.
AI is not a feature we bolted on. It is infrastructure — on the same level as identity, audit, and observability. Every clinical service consumes AI through one governed gateway with provenance, consent, budgets, and human-in-the-loop on every safety-critical path.
AI assists. Humans decide. The audit trail proves it.
Ambient clinical documentation
AI drafts notes from the encounter; the clinician reviews, edits, and signs. Doctors get their evenings back; the chart gets richer, structured data.
Decision support
Drug-interaction checks, allergy cross-reference, lab interpretation hints, order recommendations — surfaced at the moment of decision, never replacing it.
Surveillance signal scoring
AI helps spot outbreak patterns from chart, lab, and immunization data — turning weeks of latency into hours, with a human classifier on every notifiable case.
OCR & document intake
Paper records, scanned referrals, and handwritten notes become structured data — bridging legacy paper history into the digital chart without re-typing.
On-device / edge inference
AI models run on the desktop itself for clinics with no permitted cloud egress. Offline-AI is not a marketing line — it is shipped infrastructure.
Per-tenant budgets
AI cost cannot run away from a facility or program. Every model call is metered; budgets are enforced at the gateway, not after the bill arrives.
One governed gateway, every AI call.
- Provenance on every output — model, version, prompt category, who accepted it, redaction applied, decision linkage — all recorded, all queryable.
- Consent and access policy — who can use which model for which purpose is policy-driven, not implicit. Cross-checked against the consent registry on every call.
- PII redaction and safety filtering — uniform across every feature. Pre-moderation and post-moderation are gateway responsibilities, not feature-team responsibilities.
- Human decisions gate clinical impact — AI never prescribes, diagnoses, or classifies a notifiable case on its own. The clinician decides; the audit trail proves it.
- No vendor lock-in at the call site — clinical services see only the platform's AI port, never a vendor SDK. Models can be swapped, replaced, or moved on-device without touching feature code.
One chart. One safe story. Every actor, a first-class user.
Registration → scheduling → encounter → orders → lab and imaging → pharmacy → billing and insurance → patient engagement → public-health surveillance. Every stage is owned by a service that speaks the same standards, audits to the same log, and respects the same consent — so handoffs are clean and the chart stays whole.
The always-on clinical baseline
Patient management
Registration, identifiers, search, deduplication; demographics and emergency contacts; configurable national-ID handling.
Scheduling
Provider directory, capacity-aware booking, appointment lifecycle, reminders, and walk-in flow.
Clinical chart
Encounters, vitals, problems, allergies, medications, notes, results — assembled as one longitudinal story.
Orders (CPOE)
Computerized provider order entry for labs, imaging, procedures, and medications, with safety checks at the moment of order.
Results review
Lab and radiology results flow into the chart with status, abnormality flags, critical-value escalation, and clinician acknowledgment.
Medication safety
Structured allergies, problem lists, drug interaction surfacing — consulted automatically when an order is written.
Modular extensions — pay for what you use
On top of the Core EHR, facilities and programs license what they actually need. There is no duplicate patient index across products; every module is a view of the same record under the same identity, audit, and access policy.
Diagnostics — Lab & Radiology
Order → specimen / acquisition → result / report → back into the chart with critical-value escalation. Full status traceability and DICOM imaging where deployed.
Pharmacy & e-prescribing
Prescription → dispensing queue → counter-sign → inventory adjustment. Where regulated, electronic transmission to pharmacies through a national gateway.
Revenue cycle & insurance
Encounter → charges → invoice → claim → eligibility / adjudication. Available as licensed add-ons; never forced onto public clinics that do not need them.
Patient engagement & virtual care
Patient portal, secure messaging, telehealth, SMS / IVR / USSD — so care teams and patients stay aligned between visits, in the channel that actually works.
Population health
Cohorts, registries, risk stratification, quality measures, outreach across every facility and program.
Public-health surveillance
Notifiable-disease detection, line-listing, case investigation, outbreak alerting, weekly reporting.
Every actor in the lifecycle is a first-class user — patient, clinician, pharmacist, lab technician, radiologist, public-health officer, surveillance officer, auditor, billing and insurance specialist, ministry and program manager. The platform is built around their work, not around an abstract "user".
Clinical truth at the bedside becomes public-health truth at the country level.
Automatically, governably, and on time. This is where Ghasi eHealth changes the equation for any operator with a public-health mandate.
Immunizations — every dose, every child, every schedule
The immunizations module is built for the operational reality of national EPI programs.
Full administration record
Every dose captured with vaccine code, date, dose number, lot, manufacturer, route, site, performer, and location — the data a recall or cold-chain investigation actually needs.
Refusals & contraindications
Refusals captured with reason; contraindications captured as a structured workflow distinct from refusal — so coverage denominators reflect reality.
Schedule governance
Forecasts computed against jurisdiction-specific schedule versions. Each country can run its own EPI schedule today, and update it tomorrow without a software release.
Forecast-driven outreach
Due / overdue indicators feed reminder workflows. "Which child is overdue, in which district, today?" becomes an answerable question.
Registry interoperability
Bidirectional sync with national / regional immunization registries with acknowledgment and reconciliation states.
Digital certificates
Signed, exportable certificates when policy permits — useful for school entry, travel, and donor reporting alike.
Disease surveillance, aligned with WHO frameworks
Surveillance pipelines align to the international frameworks ministries already report on:
- WHO IDSR weekly reporting — case definitions, alert thresholds, weekly aggregate exports prepared automatically from clinical truth.
- IHR-2005 PHEIC notification path — for events of international concern, the 24-hour notification SLA is a first-class workflow.
- HMIS export to DHIS2 — the de-facto donor and ministry reporting target. Aggregate-only by default; consent and access policy govern any identifiable export.
The impact — in plain terms
Same artefacts. Three scales. No fork in the codebase.
From a single rural clinic to a national ministry data centre — Ghasi eHealth is engineered to run on the deployment profile your operation needs. A clinic chain, a district hospital, and a national MoPH data centre are all expected to run the same software, just sized and licensed differently.
Three deployment profiles
Edge — single clinic
One tower or mini-server with UPS. Runs offline-tolerant for hours or days. Suited to a rural clinic, a single private practice, or a remote satellite of a chain.
District — hospital cluster
A small server cluster with on-site LAN/WAN and a UPS-plus-generator setup. Multi-facility tenant; supports a district hospital and its satellites, or a chain's regional cluster.
National — ministry data centre
Vendor-grade hardware with full high availability, redundant networking, and full observability. Multi-tenant; serves districts, the HMIS, and surveillance reporting.
Built for the realities of running healthcare at scale
Multi-tenancy for chains
A private chain can run as one tenant with multiple facilities under one identity, audit, and reporting umbrella — and federate with public-sector tenants where regulation permits.
Modular licensing
Public sector runs Core EHR + Immunizations + Surveillance + Population Health. Private chains run Core EHR + Billing + Claims + Patient Portal + Virtual Care. Same code. Different licenses.
Air-gapped & sovereign
Country-hosted by default. The air-gapped option ships container images, charts, and updates on signed offline media — no public-internet dependency. Citizen data stays where the regulator requires it.
Speaks the same language as the standards your auditors and donors already require.
Nothing here is invented. Everything here is documented, versioned, and traceable to a service that owns it.
Clinical exchange
HL7 FHIR R4 as the canonical model (with R4B / R5 forward path); HL7 v2 adapters for legacy hospital, lab, pharmacy, and EPI systems; DICOM / DICOMweb for imaging.
Public health
WHO IDSR weekly reporting · IHR-2005 notification · WHO SMART Guidelines · WHO IIS immunization functional spec · DHIS2 HMIS export.
Privacy & security
HIPAA-aligned controls · GDPR-aligned data subject rights · ISO 27001 / 27799 / 13606 · OWASP ASVS review-gated.
Interoperability profiles
IHE PIX, PDQ, XDS, ATNA, IUA, MHD where required · OpenHIE architecture framework alignment for shared-health-record, registries, terminology, and HMIS components.
Terminology
SNOMED CT, LOINC, ICD-10 / 11, RxNorm, ATC; national drug formularies overlaid per country.
Identity, consent, audit
SMART on FHIR + OAuth2 for app launch and authorization · per-jurisdiction consent registry as a single authority · tamper-evident audit log on every clinical action.
Standards-first means your auditors, your donors, and your future partners can trust what they see — without taking our word for it.
Every actor in the system. Every outcome that matters.
The platform was built around the people doing the work — not around an abstract "user".
And why now.
The fragmented stack on the left is what most operators in our regions are stuck with. The Ghasi eHealth answer on the right is what gets shipped on day one.
What it looks like in five years.
Two parallel pictures — the national flagship and the hospital-chain operator. Both anchored in the same outcomes.
Any country, in five years
- Every encounter at a participating facility produces a structured, longitudinal record — not a paper page.
- Every administered vaccine is linked to a specific child, dose, lot, and schedule.
- Public-health surveillance moves from monthly retrospective aggregates to operational, near-real-time dashboards.
- Chronic disease registries become actionable outreach lists instead of statistical estimates.
- Maternal and child indicators become per-village, per-week views with names attached — under proper consent.
- The Ministry gets a single, governable, sovereign data plane — and donors get trustworthy reporting derived from it.
A chain, in five years
- Every clinic in the chain operates from one record, one identity, one audit log — patients move between locations without losing their history.
- Pharmacy, lab, and billing close the loop on the same encounter — no parallel ledgers; no missed revenue; no duplicate procedures.
- The owner and chief medical officer see live performance across every site — prescribing, missed visits, lab turnaround, financial throughput.
- Patient experience is consistent: same app, same record, same language, same identity.
- When policy and scale align, the chain is ready to onboard a public-sector partnership — same backbone; new tenant; no rebuild.
One backbone. Every facility. The health of a nation.
Whether you are a hospital chain operator modernising clinic by clinic, a Ministry of Health building a national digital backbone, or a donor program seeking trustworthy reporting — we should be talking.