In healthcare, data governance and knowledge management are essential. This complex, multifaceted, and multidisciplinary area involves healthcare professionals and agents from healthcare institutions managing large and diverse volumes of data generated from daily consultations and transactions. This data must be accessible quickly, at any time, and universally by all involved professionals. Furthermore, it is crucial to have the necessary mechanisms to relate, process, and convert this data into information or knowledge, which will subsequently inform decision-making. So far, some partial solutions have been implemented that address specific issues and involve a limited number of actors. Among these solutions, interoperability stands out as the ability of certain heterogeneous systems to share information automatically. For interoperation, several standards exist that facilitate the exchange of information and communication among various types of information systems with different objectives and characteristics. Globally, efforts are underway, and progress has been made on interoperability protocols between different health information systems. However, challenges persist during their implementation. Effective management of master data is necessary to eliminate confusion and disorganization. Proper interaction between health systems must be founded on an architecture that enables the capture, storage, management, transformation, access, and exchange of both data and information in a coordinated and consistent manner, utilizing interfaces based on existing standards. This paper presents an initial proposal of intelligent ecosystem that integrates data, information, and knowledge from multiple sources, along with visualization, analysis, and prediction tools, to support government health decisions and ensure continuity in patient care.