National Healthcare Holding Authority – JAWDA Quality KPI Reporting Platform
Healthcare
UAE
Microsoft Fabric, OneLake, Microsoft Purview
JAWDA Quality KPI Reporting Platform
The client required a secure, scalable data platform to automate JAWDA Quality KPIs at the enterprise level, enabling accurate, timely, and compliant submissions to the Department of Health (DOH). The solution unifies clinical and operational data across SAP and Cerner, standardises KPI definitions, embeds data governance and lineage, and enables self-service analytics for Quality and Clinical leadership.
Identifying the unique obstacles that hinder progress and uncovering the root causes behind complex business problems.
Automating enterprise-level JAWDA Quality KPIs with consistent definitions and calculations across the organisation was the primary regulatory and operational requirement.
Clinical and operational data existed in silos across SAP and Cerner, with no unified platform to consolidate, validate, and standardise data for DOH submissions.
Ensuring regulatory compliance with the Department of Health through auditable, governed data pipelines required a governance-first architecture approach.
Manual data preparation and reconciliation processes for JAWDA submissions were time-consuming, error-prone, and created significant risk for compliance deadlines.
The platform needed to be designed for future scalability to support additional KPIs, reporting needs, and near real-time capabilities as requirements evolved.
Developing strategic, innovative solutions designed to address each challenge with precision, ensuring measurable impact and long-term success.
Designed a cloud-native data platform using Microsoft Fabric and OneLake, aligned to enterprise governance standards and structured for JAWDA regulatory compliance.
Implemented a Medallion Architecture (Bronze, Silver, Gold) to standardise ingestion, cleansing, validation, and enrichment of clinical data from SAP and Cerner.
Automated ingestion pipelines for both historical and incremental data loads, eliminating manual data preparation and ensuring continuous, reliable data availability.
Developed a semantic data model and KPI-driven Power BI dashboards for executive and operational reporting, enabling self-service analytics for Quality and Clinical leadership.
Embedded data governance, lineage, role-based access control (RBAC), and auditability using Microsoft Purview to ensure transparent, compliant submissions to the DOH.
Delivering tangible results that drive operational efficiency, data trust, and sustained business value for the organisation.
Reliable, auditable JAWDA KPI submissions with significantly reduced manual effort and compliance risk, providing regulatory confidence for the organisation.
Unified, validated clinical and operational data across all care settings established a single source of truth for Quality and Clinical leadership.
Clear, actionable insights through standardised KPI dashboards and semantic models gave executive leadership full visibility into quality performance.
Architecture designed to support future KPIs, advanced analytics, and real-time reporting provided a scalable foundation for ongoing regulatory evolution.
Automated pipelines significantly reduced dependency on manual data preparation and reconciliation, improving operational efficiency across the quality function.