- Illustrative example
- Case H-01, UAE
One FHIR patient platform for 3 hospitals
In this illustrative example, 6 engineers would build a patient app and clinician portal on an HL7 FHIR layer for a UAE healthcare group. All 3 hospitals would be connected, and the app would be rated 4.8 stars.
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3
hospitals integrated on FHIR R4
In short
Case H-01 is an illustrative example the FHIR-based patient platform a Remote Pro Ai squad would build for a healthcare group in the UAE. 6 engineers would deliver a patient app and clinician portal on an HL7/FHIR integration layer connected to the hospital EMR, with privacy-by-design reviews at every gate. 3 hospitals would be integrated, FHIR R4 conformance tested, and the app rated 4.8 stars.
In this illustrative example, a UAE healthcare group wants patients and clinicians on one platform. A 6-engineer squad would connect all 3 hospitals in 9 months.
3 hospitals, one patient app
Client (illustrative)
A healthcare group, UAE
Team
6 engineers · 9 months
Model
Ready Squad (Squad-in-4)
Data pattern
Pattern A, the group’s own environment
Stack
HL7 FHIR R4 · HAPI FHIR server · HL7 v2 interfaces · SMART on FHIR (OAuth 2.0) · Flutter · React · PostgreSQL · audit event store
Assembled in
4 working days
One group, 3 hospitals, 3 ways of doing things
In this example, the group’s hospitals share an EMR product but configure it differently, with different codes, workflows and interfaces. Patients phone for appointments and results, and clinicians move between screens to see a patient’s history across sites.
The group wants one patient app and one clinician portal over all 3 hospitals. Privacy is the gate for everything: no feature ships without a documented privacy review.
- 3 EMR configurations with different codes and interfaces
- Consent captured and enforced per patient and per data type
- Privacy review signed off at every delivery gate
- A complete audit trail of who viewed which record
6 engineers, assembled in 4 working days
| Role | Level | Count | Location |
|---|---|---|---|
| Solution architect and Squad Lead | Lead | 1 | Dubai |
| FHIR integration engineers | Senior | 2 | Cairo |
| Flutter engineer, patient app | Senior | 1 | Cairo |
| Frontend engineer, clinician portal | Senior | 1 | Cairo |
| QA automation engineer | Mid | 1 | Cairo |
The Governance Officer would chair each privacy gate with the group’s data protection lead, outside the 6 delivery seats.
One hospital, one privacy gate, at a time
Weeks 1–4
Data mapping for each hospital, FHIR profiles, consent model and the first privacy gate.
Months 2–4
FHIR layer live, first hospital connected and the patient app in closed beta.
Months 5–7
Hospitals 2 and 3 connected; clinician portal released to the first departments.
Months 8–9
FHIR R4 conformance testing, app-store launch and hand-over.
- Operating rhythm
- 2-week sprints · weekly executive report to the Chief Digital Officer every Friday · monthly steering · continuity target: zero unplanned turnover across 9 months.
Results
3
hospitals integrated
FHIR R4
conformance
4.8★
patient app rating
- These figures are illustrative
- they show the kind of result this squad model is built to deliver, not a verifiable named-client record. Integration means appointments, results and records flow for each hospital through the FHIR layer in production. Conformance was tested against FHIR R4 resource profiles before launch. The rating is the public app-store average at the end of the engagement, as shown by the stores themselves.
About this case
Illustrative example
No client quote: this is an illustrative example
This is an illustrative example. No client is named, and the figures show the kind of result this squad model delivers, not a verifiable named-client record. On a scoping call you can ask for a reference under NDA from a comparable engagement, subject to that client’s consent.
Compliance this squad would handle
- Privacy-by-design review signed off at every delivery gate
- Consent service enforcing patient choices per data type
- FHIR AuditEvent trail of every record access
- SMART on FHIR authorisation for apps and clinician sessions
- FHIR R4 conformance testing before launch
Related roles & practices
Frequently asked questions
20 minutes with a solutions architect. No sales script.
The FHIR layer normalises each hospital’s codes and interfaces into shared FHIR R4 profiles. Hospital-specific mappings sit at the edge, so the patient app and clinician portal see one consistent model. Adding a hospital means building its mapping and testing it against the same conformance suite.
Before any feature moves to the next stage, the squad presents its data flows, consent rules and access controls to the group’s data protection lead and our Governance Officer. Features ship only after written sign-off, and a gate can send a feature back to collect less data than first planned.
No. Like every figure on this page, it is illustrative: it shows the kind of result this squad model is built to deliver. In a real engagement the rating would be the public average shown by the app stores, where patients rate the app directly, and Remote Pro Ai has no influence over store ratings.
A consent service records each patient’s choices per data type and checks them on every request through the FHIR layer. If a patient has not agreed to share a record, neither the app nor the clinician portal can retrieve it. Every access is written to a FHIR AuditEvent trail, so the group can show who viewed which record and when.
In this plan, the first hospital connects in months 2 to 4, once the FHIR layer and consent model are live. Hospitals 2 and 3 follow in months 5 to 7, faster because their mappings reuse the shared FHIR R4 profiles and the same conformance suite. Conformance testing and the app-store launch complete the 9-month engagement.
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