Paving path for Data driven Administration in Uruguay

Paving path for Data driven Administration in Uruguay

Governments already has huge volume of data, and with rising number of e-governance projects and growing innovations in public services,  the data growth is set to be exponential. There is significant rethinking in data value chain. The data value chain comprises of following 5 stages:

 

  • Create
  • Collect
  • Manage
  • Govern
  • Share and Use

The huge data bank can be put to use for efficient service delivery, better information and decision making, improving operations efficiency through process re-engineering, research and development, fostering trust through accountability and transparency. It is therefore imperative for countries to establish vision, principles, policies and security mechanisms for establishing data driven systems. 

“The positive effect data driven governance can have is nearly endless. It’s so important because it not only allows the government to pinpoint areas that need attention, but it also gives them that information in real time. It allows governments to make faster decisions, and it allows them to monitor those decisions and quickly enact changes if necessary. “

DATOS 360

 

Uruguay is building a holistic and multidisciplinary approach to data management in public administration by developing data as a system based on following principles:

  1. Integration: Each government department is a source of its own data, and at times requires data from other departments to function. Having a unified view of the data from different departments by fostering integration shall strengthen interoperability.
  2. Exploitation of data to make efficient public services, formulate public policies based on evidience.

The initiatives by Uruguay have achieved concrete results in – 

  • Data Policy: Develop specific project for data management. The policy consideration extends to all data created by using public funds and owned by different government agencies, ministries and departments.
  • Data Strategy: Building a data strategy requires a unified and collaborative approach to manage government wide data as an asset. It includes data driven design, deliver and monitoring of public policies.
  • Data Governance: Data based administration. The ability to make government administrations at different layers to collaborate and work together in order to provide public services in an integrated seamless manner.
  • Data Architecture: Principles and technical framework for data based administration. The data architecture provides the structure and description of the department’s data (metadata), the logical data model (depicting the relationship between various data elements), taxonomy, the security associated with each data element and sharing methodology.
  • Artificial Strategy (AI): Promote and strengthen the responsible use of AI in Public Administration and identify specific pillars and specific lines of action.

Use Case: Open Data leading to better choice of Health Care

Every February, Uruguayan citizens are given the opportunity to choose whether to change or stay with their existing health care provider.

 

First launched as a pilot program in February 2015 by DATA Uruguay and the Ministry of Health, A Tu Servicio is a Web application based on open government data that provides easily digestible, searchable and visualized infographics of key performance indicators such as facility type, available medical specialties, procedures performed, wait times, goals of care, patien rights and human resources. This platform allows users to compare these indicators across all health care providers in the country, enabling users to make well-informed decisions about their health care providers through machine-readable, interoperable and accessible data that was previously unavailable. For example, users can search across public health care providers (such as Medica Uruguaya and CAMCEL) and private providers (such as Blue Cross Blue Shield in Montevideo and compare data on the cost of birth control, average wait times and patient satisfaction. Such comparisons can allow a citizen to decide whether to stick with his or her current provider or switch to a new one.

 

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