Building a National Health Data Backbone: Enhanced Policy Accuracy and 360° Visibility for a Middle Eastern Government Agency

Industry: Healthcare
Services: AI, Automation, Data and Analytics, Digital CX, Digital Operations

Client Overview

The client is a governmental body tasked with managing and organizing the nation’s health data. The insights generated from this data are pivotal in developing policies, regulations, and strategies that govern national health initiatives.

The Challenge

Establishing a Data-Driven Backbone for National Health Strategy and Equity

As a national health authority responsible for driving healthcare policy and regulatory oversight, the client faced increasing complexity in managing a rapidly growing volume of fragmented health data. The existing data landscape was siloed, inconsistent, and lacking the structure necessary for accurate analysis or timely decision-making. Data quality issues ranging from incompleteness and duplication to inaccuracies and inconsistencies severely limited the agency’s ability to generate actionable insights from its clinical, pharmaceutical, and population-level health data.

These shortcomings hindered the development of unified public health strategies and opened the system to exploitation, including fraud and abuse. Without centralized governance or a single source of truth, the agency could not confidently monitor outcomes, assess provider performance, or ensure equitable access to care across different regions and demographics. The client recognized that achieving a national standard of health equity would require not only data unification but a foundational shift toward governance-driven analytics and institutional data stewardship.

Sutherland Solution

A Comprehensive, Strategic Build of a National Data Management Office (DMO)

Sutherland partnered with the client to architect and implement a holistic transformation of the country’s national health data infrastructure, centered on the creation of a Digital Data Management Office (DMO). Adopting a consultative approach and a build-operate-transfer (BOT) model, Sutherland provided both strategic advisory and hands-on execution support to ensure sustainable outcomes.

The key pillars of the solution included:

1. Use Case-Driven Data Strategy: Sutherland facilitated cross-functional workshops to identify and prioritize population health use cases with measurable impact. These use cases informed the data architecture and ensured alignment with the country’s public health priorities.
   
2. Data Sourcing and Harmonization: Collaborating with both IT and business functions, Sutherland sourced clinical, pharmaceutical, and demographic data across the ecosystem. Rigorous data profiling and mapping efforts ensured alignment with global data standards and interoperability frameworks.
   
3. Modern Data Warehouse Implementation: A secure, scalable data warehouse was designed and implemented to serve as a single source of truth. The platform supports high-quality data ingestion, transformation, and access across a broad range of use cases and user personas.
   
4. Data Governance and Policy Framework: Sutherland established a comprehensive data governance framework, including metadata management, stewardship roles, data quality protocols, and regulatory compliance structures. ensuring long-term sustainability and audit-readiness.

This transformation laid the digital foundation for smarter policymaking, operational transparency, and a healthcare system capable of anticipating, rather than merely reacting to, national health challenges.

The Outcome

Establishing a Data-Driven Backbone for National Health Strategy and Equity

Sutherland’s partnership enabled the client to fundamentally reshape how national health data is collected, governed, and leveraged, transforming fragmented datasets into a strategic asset for societal benefit. With the launch of the Digital Data Management Office and centralized data warehouse, the agency now operates with a unified source of truth that ensures accuracy, completeness, and consistency across the health ecosystem.

Policy leaders now have real-time access to reliable analytics that inform regulatory planning, provider oversight, and population-level interventions. Fraud and abuse scenarios have been significantly curtailed through improved visibility and accountability mechanisms. Moreover, the ability to stratify data by geography, demographics, and provider performance has created a pathway for more equitable health delivery standards nationwide.

Operationally, the transformation resulted in reduced duplication of efforts, streamlined reporting cycles, and improved inter-agency collaboration, establishing a model for national health data governance that is both scalable and replicable.

That’s digital outcomes delivered!

By placing analytics and governance at the heart of its digital health strategy, the client has taken a decisive step toward building a more agile, responsive, and equitable healthcare system for future generations.