During the last decade, interoperability has emerged as a vivid research area in electronic business and electronic governance, promising a significant increase in productivity and efficiency of information systems, enterprises and administrations. Interoperability in Digital Public Services and Administration: Bridging E-Government and E-Business provides the latest research findings such as theoretical foundations, principles, methodologies, architectures, technical frameworks, international policy, standardization and case studies for the achievement of interoperability within the provision of digital services, from administration and businesses toward the user citizens and enterprises.

Although the standards in electronic health records and general healthcare services continue to evolve, many organizations push to connect interoperability with public service and basic citizenship rights. This poses significant technical and organizational challenges that are the focus of many research and standardization efforts. Interoperability in Healthcare Information Systems: Standards, Management and Technology provides a comprehensive collection on the overview of electronic health records and health services interoperability and the different aspects representing its outlook in a framework that is useful for practitioners, researchers, and decision-makers.

This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.

Interoperability in Digital Public Services and Administration: Bridging E-Government and E-Business provides the latest research findings such as theoretical foundations, principles, methodologies, architectures, technical frameworks, international policy, standardization and case studies for the achievement of interoperability within the provision of digital services, from administration and businesses toward the user citizens and enterprises.

Scientific Study from the year 2019 in the subject Business economics - Information Management, grade: 7, University of Zagreb (University of Zagreb, Croatia), course: Organizational development, language: English, abstract: Digital technologies may provide various benefits, as well as interoperability risk and adaptability issues. Human knowledge multiplication accelerated dynamics may lead us to the advanced technologies identification and utilization of various opportunities, as well as technological advancement. In order to harmonize such a technological growth and human development opportunities we aim for systematic approach and interoperability development. When considering the public administration digital transformation, holistic approach challenges may become advantages, due to the acknowledgement and education, so processes of adjustment may bring the identification and solution for many challenges, but also provide a platform for further learning and development.

In the e-government research community as well as in many national e-government programs, interoperability is widely seen as a key factor in developing effective and attractive e-services. There is also agreement that interoperability encompasses not only mere technical standards and interfaces, but also includes organizational, legal, and cultural aspects. Several interoperability frameworks have been introduced on national and international levels, and recommendations have been made for the adaptation of enterprise architectures in the public sector. Common to all these approaches is their top-down deductive procedure, which does not connect very well to the real world of e-government projects. In contrast, in this volume, which is based on empirical research, the authors introduce a bottom-up inductive approach to deal with the challenges of interoperability-related governance. Based on so-called “good-practice” cases of interoperability in e-government, they derive concepts and classifications that help to uncover and assess similarities and differences between the cases. As a result, they present an empirically based conceptual framework that details the options for IT governance of interoperability in government. In addition, their findings also make it possible to critically assess and improve other existing frameworks. With this work, which combines different thematic foci as well as a European and a US background the authors situate empirical results in the broader context of theoretical and political reflection. Thus they provide insights into strategic choices for CIOs in e-government at a national or regional level, experiences and lessons learned for managers and developers in e-government projects, and a huge set of empirical data for administrative and political scientists.