Digital Healthcare Across the GCC

Saudi Arabia’s Seha Virtual Hospital supports a network of more than 242 hospitals. In the UAE, Abu Dhabi’s Malaffi connects over 2,700 healthcare facilities and is integrated with Riayati and NABIDH. These programmes show the scale of the systems behind digital care: specialist services, patient information and clinical workflows increasingly need to function across institutional boundaries. Saudi Ministry of Health; Abu Dhabi Department of Health.

Across the six countries of the Gulf Cooperation Council, digital healthcare includes electronic records, virtual consultations, patient applications, remote monitoring and AI. Each has different implementation requirements. An app needs reliable connections to appointments and records; a monitoring service needs a team that can act on incoming readings; a clinical AI tool needs evidence that it is appropriate for its intended use.

Public programmes across the region point to five priorities for healthcare leaders. Their importance is shared, while the starting conditions and delivery models vary by country. Laboratories and pharmaceutical operations also form part of this ecosystem: care depends on the movement of specimens, reliable medicine supplies and consistent production quality.

Six countries with different starting points

The examples below distinguish operating services from research priorities and procurement plans. They provide a view of the work under way, rather than a ranking of national digital maturity.

1 Connected records need usable data

Health information exchange is a foundation for continuity of care. The practical test is whether an authorised professional can find the information needed for the next decision, with enough context to use it.

In the UAE, Malaffi brings together patients’ longitudinal records, including laboratory and radiology information. Its integration with the national Riayati programme and Dubai’s NABIDH illustrates the need to connect platforms as well as individual facilities. Abu Dhabi Department of Health.

Oman provides a more focused example. In May 2026, the Ministry of Health launched an International Patient Summary service for pilgrims through Shifa. With the patient’s consent, a healthcare professional can scan a QR code to view a verified, concise medical record. This addresses a specific handover: making essential information available when a patient receives care away from their usual provider. Oman Ministry of Health, 21 May 2026.

For providers, connecting a system is one part of the work. Patient identification, terminology, completeness and timely updates determine whether exchanged records are useful. A technically successful interface can still deliver a record that is difficult to interpret or missing information needed for the task.

Integration projects should therefore define which data must travel, how it will be checked and who resolves errors. Connection counts indicate reach; they do not establish a clinical outcome.

2 Virtual care depends on the response around it

Remote care can extend access to expertise and allow follow-up outside a hospital. It also creates operational dependencies between the people collecting information, the specialists reviewing it and the teams responsible for intervention.

Saudi Arabia’s Seha Virtual Hospital offers virtual critical care, urgent care, specialist consultations, teleradiology and other services. Its stated objectives include addressing gaps in specialist availability and making better use of clinical expertise across locations. This is a service delivery model with several clinical pathways, each requiring its own coordination. Saudi Ministry of Health.

In September 2026, Oman’s Royal Hospital reported the country’s first implantation of a CardioMEMS sensor for remote heart failure monitoring. The Ministry describes daily readings being sent to the medical team to support follow-up and treatment adjustment. The announcement concerns a specific clinical implementation; it does not establish nationwide adoption or a measured national reduction in admissions. Oman Ministry of Health, 20 September 2026.

The implementation question is what happens after information arrives. A provider needs to establish who reviews it, how quickly, which conditions trigger escalation and how action is recorded. Without that workflow, additional connectivity can create an unattended stream of data.

3 Patient applications need to complete the underlying task

Patient-facing applications bring several health services into one place. Their value depends on whether the systems behind the interface can complete the requested task reliably.

Kuwait’s official government portal describes Salem as the Ministry of Health’s application for access to personal and family health information, appointments, tests and vaccinations. These services bring several parts of the patient journey into a common digital channel. Kuwait Government Online.

In Bahrain, the government describes I-SEHA as a national health information programme and Sehati as a channel for appointments, medical records and other health services. The published I-SEHA description also covers links to financial, warehouse and human resources systems. This makes the relationship between patient access and institutional operations explicit. Bahrain National Portal on healthcare; I-SEHA programme.

Consider an appointment request. Completing it requires an available slot, correct patient identification, confirmation and an updated booking visible to the relevant team. If one link fails, the patient may still need to call or visit in person.

Providers can assess this work through completed digital transactions, failed handovers and the need for staff intervention. Downloads alone reveal little about whether an application reduces effort for patients or employees.

Usetech example in laboratory logistics. A laboratory network needed to reduce specimen delivery times and improve the allocation of transport costs. Usetech implemented fleet, order and dispatch management, together with income and expense accounting, and integrated the solution with the customer’s existing enterprise system. The project reported a 25% reduction in delivery times and more accurate costing by order and service type.

This illustrates the operational work behind a diagnostic service. Connecting transport planning with enterprise records can address a specific handover in the care delivery chain. The reported result concerns specimen transport; it does not measure laboratory turnaround time or clinical outcomes.

4 AI needs a defined use and a way to verify it

Qatar’s SehaTech research call, launched jointly by the Qatar Research, Development and Innovation Council and the Ministry of Public Health for 2026, identifies three priorities: interoperability and standardisation, data management, and AI with informatics and smart technologies. It seeks implementable solutions and explicitly connects health data with decision support, diagnostics and other applications. This is evidence of a research and funding agenda, rather than proof that the proposed applications have been deployed. SehaTech request for applications, January 2026.

Kuwait offers a complementary signal. Its Medical Responsibility Authority publishes Ministry of Health decision 6189 adopting practical guidance for the use of AI language tools in healthcare practice. The existence of a formal guidance document makes responsible use part of the implementation discussion. Kuwait Medical Responsibility Authority.

For a provider, the starting point is a defined task and user. Drafting an administrative document, predicting demand for appointments and supporting a clinical decision have different consequences if an output is wrong. They need different evaluation and oversight.

A practical assessment should establish which data the tool uses, how performance will be checked in the intended setting, who reviews outputs and how errors will be handled. For clinical applications, evidence and applicable approvals need to match the intended use. Success in one dataset or hospital cannot establish suitability across every language, patient group or care setting.

Usetech example in pharmaceutical quality control. At a pharmaceutical manufacturer, manual inspection could miss absent or deformed tablets and capsules in blister packs. A computer vision system inspected packs on the conveyor, identified these defects and notified the operator. The project reported a tenfold increase in speed at the finished-product inspection stage.

The application has a defined object, defect and response owner. It demonstrates AI in a production workflow within the medicines supply chain. Its performance cannot be transferred to medical imaging or diagnosis, which require their own evidence and evaluation.

5 Architecture and operational planning shape what can scale

Bahrain’s Ministry of Health issued a 2026 tender for a digitalisation strategy for its Public Health and Health Promotion Directorates. The published scope includes assessment of existing systems, gap analysis, a roadmap, architecture design, AI integration and preparation of an implementation request for proposals. It provides a concrete example of the planning work behind digital health ambitions. The tender establishes a procurement requirement, not a completed implementation. Bahrain Tender Board, tender 360/2026/BTB.

This planning matters when services depend on several systems and teams. A new patient channel may require changes to scheduling and identity services. Remote monitoring needs reliable data delivery and clinical ownership. AI may add requirements for data preparation, computing resources and ongoing evaluation.

Hospital operations also offer practical starting points for analysis, such as appointment demand, queues, staffing and equipment utilisation. These are candidate projects to assess against local data and processes, rather than outcomes established by the national programmes described here.

Usetech example in pharmaceutical traceability. Manual barcode scanning slowed movement between storage and dispatch areas and introduced accounting errors. Usetech’s computer vision solution read pallet barcodes from different angles, checked them against system records and passed information to connected warehouse and enterprise resource planning systems. The project reported a twentyfold increase in pallet processing speed. The improvement concerned the pallet workflow, rather than the speed of the entire supply chain.

Usetech example in demand forecasting. Another pharmaceutical project used an AI forecasting service that incorporated seasonality, historical data, illness statistics and epidemiological information to support production and stock planning. It illustrates how planning can use several data sources to respond to changing demand. Applying a similar approach to hospital appointments or medicine inventories would require a separate assessment of the relevant data, constraints and forecast horizon.

Delivery plans should identify dependencies before promising a launch date. Access to systems, usable data, integration testing, staff training and acceptance all affect the schedule. A short technical installation does not establish when a service is ready for routine use.

Choose a workflow and measure what changes

Across the GCC, the national programmes described here show several ways to connect digital services with healthcare delivery. Usetech’s laboratory and pharmaceutical projects illustrate related engineering work in logistics, visual inspection and planning. Together, they point to a practical requirement: information must reach the person or system responsible for the next action.

For a healthcare organisation planning its next project, a useful starting point is one workflow with a measurable problem. Define the users and available data, map the systems involved and agree what a successful pilot must demonstrate. Depending on the task, that might be a more reliable referral handover, fewer failed appointment transactions or faster access to required information.

Evaluate the result alongside staff workload, patient experience and relevant safety measures. That gives the organisation a basis for deciding whether to extend the service to more departments or facilities, and what needs to change before it can scale.

Ekaterina Samsonova

Head of PR and Marketing MENA at Usetech

15+ years in B2B/IT marketing, PR, and external communications across MENA, Europe, and Russia