Abu Dhabi Health Services (SEHA) AI Strategy: Implementation Roadmap

Category: Case Study | Market: UAE – Abu Dhabi | Keywords: Abu Dhabi Health Services SEHA AI strategy implementation roadmap clinical documentation DOH digital health

Abu Dhabi Health Services Company (SEHA) is the largest healthcare provider network in the UAE, operating 14 hospitals, over 70 clinics, and several specialised healthcare facilities across the Emirate of Abu Dhabi under the oversight of the Department of Health (DOH). With over 25,000 employees serving millions of patient encounters annually, SEHA represents one of the most significant AI medical scribe deployment opportunities in the GCC — and one of the most complex, given the scale, clinical diversity, and public accountability framework within which SEHA operates. Understanding SEHA's AI healthcare strategy context helps technology vendors and clinical informatics teams position AI scribing solutions for the Abu Dhabi public healthcare market.

SEHA's digital transformation is guided by the Abu Dhabi Government's AI strategy and DOH's Digital Health Strategy, which positions Abu Dhabi as a regional leader in healthcare technology adoption. SEHA has been an early adopter of multiple healthcare AI tools — from diagnostic AI in radiology to predictive analytics in population health management — and its AI scribing adoption reflects this broader institutional appetite for clinical AI.

## Current State: SEHA Digital Infrastructure

SEHA operates a centralised electronic health record system across its facility network — one of the most comprehensive EHR deployments in the GCC public sector. All SEHA patient records are integrated into NABIDH (the Abu Dhabi Health Data Network), enabling cross-facility record sharing and population health analytics. This existing digital infrastructure is a significant advantage for AI scribe implementation: SEHA facilities do not require EHR implementation alongside AI scribing — they require only AI scribing platform integration with existing Cerner-based (or equivalent) clinical systems. The NABIDH FHIR R4 integration requirement is already met by SEHA's existing clinical data architecture.

## AI Scribe Implementation Priorities in SEHA Context

For a network of SEHA's scale, AI scribe implementation follows a phased priority model: Phase 1 — high-volume outpatient primary care clinics (highest documentation volume, most immediate physician time saving, greatest ROI potential); Phase 2 — emergency departments across SEHA's 14 hospitals (documentation timeliness improvement, CBAHI compliance benefit); Phase 3 — inpatient wards and specialist outpatient services (more complex documentation workflows requiring specialty-specific template configuration). Each phase requires DOH clinical standards alignment and NABIDH integration validation before deployment.

## Arabic Language and DOH Documentation Standards

SEHA serves a predominantly Arabic-speaking Abu Dhabi patient population. DOH clinical documentation standards specify bilingual documentation requirements for key patient-facing documents. AI scribing for SEHA's Arabic-medium clinical environments requires Gulf Arabic dialect medical speech accuracy, DOH-specific clinical template formats (including patient identification using national ID and Emirates ID), and Arabic patient summary generation for discharge communications. These requirements are specific enough that SEHA AI scribe procurement should include dialect accuracy testing and DOH template validation as evaluation criteria.

## Privacy and Data Governance at SEHA Scale

AI scribing for a network of SEHA's scale processes tens of thousands of patient consultation audio recordings daily — creating significant patient data volume under UAE PDPL jurisdiction. SEHA's data governance framework, aligned with Abu Dhabi Government data protection standards and DOH health data regulations, requires that AI scribe vendors demonstrate data processing agreements, UAE-based data processing infrastructure, and audit log capability consistent with SEHA's institutional data governance requirements. These requirements are more stringent than typical private clinic AI scribe procurement and require enterprise-grade data governance certification from AI scribe vendors.

## Conclusion

SEHA's AI healthcare strategy, digital infrastructure maturity, and institutional scale make it an ideal candidate for large-scale AI medical scribe deployment in the Abu Dhabi public healthcare system. Phased implementation prioritising high-volume primary care, followed by emergency and specialist services, with Arabic language accuracy and DOH documentation standard alignment as non-negotiable requirements, provides a viable implementation roadmap for AI scribing across one of the GCC's largest and most complex healthcare provider networks.

Internal links: Dubai Health Authority Digital Hospital Initiative AI Scribe Component, NABIDH AI Clinical Documentation Abu Dhabi Integration, UAE Health Data Law 2023 Clinics AI Notes