Identified Needs
The Data Office of Osakidetza, the Basque Country Public Health Service, identified the need for a data governance platform due to the growing volume of data and the goal of improving decision-making and the quality of healthcare services by leveraging the potential of Big Data.
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Data Governance Model ensuring availability, integrity, usability, and security of data, making information efficient and operational for decision-making and improvement of healthcare services.
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Big Data use case implementation to validate and operationalize the defined model, demonstrating its suitability in practice and allowing necessary adjustments for optimization.
Use Case: Data Governance in Healthcare
The use case was designed around an initial governance model. The two project lines consist of developing two Big Data analytics use cases carried out by the integrator Telefonica Tech. The governance model definition focused on two main aspects:
A fully customized governance model and business glossary for Osakidetza were built and operationalized in Anjana Data. The model focused on the business areas involved in the analytics use cases: Nursing Care, Clinical History, and Pharmacy.
Working alongside Osakidetza's IT department, the Anjana Data configuration was defined to host technical metadata. The data catalog was populated with both native and customized entities, designing the end-to-end data lineage through the use cases.
Proposed Objectives
The main objective is to establish a Data Governance framework ensuring availability, quality, security, and efficient use of information. Once the Governance Model was defined, its suitability was validated through two Big Data use cases:
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Data governance framework: define a Data & Analytics organizational model, establish data quality and security standards, manage data architecture, control data quality and consistency, and establish policies and procedures.
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Use Case 1: Intervention Model Comparator — governing the analytics model that compares clinical intervention models.
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Use Case 2: Active Labor Identifier Optimization — governing the predictive model for optimal identification of active labor onset.
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Through Anjana Data, data origins, transformations, and final data persistence along the use cases are fully visualized.
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Effective knowledge transfer to Osakidetza and EJIE to achieve autonomy in platform management and implementation of new use cases.
Functional and Technical Architecture
The architecture is structured in three layers: Business Layer with Organization, Data Governance and Data Consumption; IT Layer with Oracle Operational Systems, Oracle Business Intelligence and Big Data Use Cases in Bronze/Silver/Gold model; and the integration layer on-premise via VisualMakers, LDAP, and RedHat.
Benefits Obtained
Thanks to the joint work among all stakeholders, Osakidetza now has the necessary knowledge, a governance platform, and established guidelines to continue its Data Governance initiative.
The Basque Country Public Health Service has a first metamodel with business and technical entities reflecting what was established during the first year of the project.
Osakidetza staff manage the platform autonomously, ensuring metadata integrity. The Data Office has grown in headcount and staff hold Anjana Data Official Certification.
Successful collaboration between Osakidetza, EJIE (Basque Government IT Society) and Telefonica Tech, achieving effective knowledge transfer and operational autonomy.
Two clinical analytics use cases born in a governed manner: with end-to-end data lineage traced, documented metadata, and a defined operational framework for continuous oversight.
Challenges Overcome
The project was structured in two major phases, each with its own technical, functional, and operational challenges:
The project team faced the challenge of establishing a first information governance scenario. Through dedication from the integrator, Osakidetza, and EJIE, consensus was reached and a framework was established that resulted in the governance metamodel in Anjana Data. The architecture integrated technical lineage from the OBIEE data centralizer through specific plugins.
Technical challenges included plugin integration with Oracle and OBIEE. Functional challenges were resolved leveraging Anjana Data's configuration capabilities, adapting the metamodel as the use cases progressed. Finally, operational handover to Osakidetza and EJIE was completed through deployment workshops and close collaboration with the Customer Success team.