This report identifies eight key data governance mechanisms to maximise benefits to patients and to societies from the collection, linkage and analysis of health data, and to minimise risks to both patient privacy and the security of health data.

Health data are essential to modern health care delivery, health system management and research and innovation, and must be well governed to foster their use while protecting privacy and data security. The 2016 OECD Recommendation on Health Data Governance provides a roadmap towards more harmonised approaches to health data governance across countries.

This report explores how data and digital technology can help achieve policy objectives and drive positive transformation in the health sector while managing new risks such as privacy, equity and implementation costs. It examines the following topics: improving service delivery models; empowering people to take an active role in their health and their care; improving public health; managing biomedical technologies; enabling better collaboration across borders; and improving health system governance and stewardship.

This report presents newly collected data on the quality of dementia care in OECD countries. By providing the most up-to-date and comprehensive cross-country assessment of dementia care, it can help countries to improve their care systems today, and better prepare for the challenges of tomorrow.

The ubiquitous collection, use, and sharing of data that power today’s economies challenge existing governance frameworks and policy approaches. Drawing on the extensive research and analysis conducted at the OECD on data governance, on countries’ policies and practices, and the OECD legal instruments in this area, the Going Digital Guide to Data Governance Policy Making supports policy makers in navigating three fundamental policy tensions that characterise efforts to develop, revise, and implement policies for data governance across policy domains in the digital age.

This report examines primary health care across OECD countries before the COVID-19 pandemic, and draws attention to how primary health care is not living up to its full potential. Doing things differently – through new models of organising services, better co-ordination among providers, better use of digital technology, and better use of resources and incentives – helps to improve care, reduce the need for hospitalisations, and mitigate health inequalities.

This timely volume presents an in-depth tour of population health monitoring—what it is, what it does, and why it has become increasingly important to health information systems across Europe. Introductory chapters ground readers in the structures of health information systems, and the main theoretical and conceptual models of population health monitoring. From there, contributors offer tools and guidelines for optimum monitoring, including best practices for gathering and contextualizing data and for disseminating findings, to benefit the people most affected by the information. And an extended example follows the step-by-step processes of population health monitoring through a study of health inequalities, from data collection to policy recommendations. Included in the coverage: · Structuring health information: frameworks, models, and indicators · Analysis: contextualization of process and content · Knowledge translation: key concepts, terms, and activities · Health inequality monitoring: a practical application of population health monitoring · Relating population health monitoring to other types of health assessments · Population health monitoring: strengths, weaknesses, opportunities, and threats A robust guide with international implications for an emerging field, Population Health Monitoring is a salient reference for public health experts working in the field of health information as well as post-graduate public health students and public health policymakers. "In this comprehensive and easy to read volume, Verschuuren and van Oers, accompanied by other specialists in the field, present a fresh and thoroughly researched contribution on the discipline of population health monitoring. They critically analyse and describe the phases, functions and approaches to population health monitoring but far more importantly, the discipline is positioned within the wider domains of public health, health policy and health systems. The book is definitely highly recommended reading for students of public health and health services management but is also a useful refresher course for public health practitioners." Natasha Azzopardi Muscat, President, European Public Health Association Chapter 7 of this book is available open access under a CC BY 3.0 IGO license at link.springer.com Chapter 8 of this book is available open access under a CC BY 3.0 IGO license at link.springer.com

This report discusses the need for an integrated and cyclical approach to managing health technology in order to mitigate clinical and financial risks, and ensure acceptable value for money.

In the 30 years since the inception of the Unified Health System (Sistema Único de Saúde, or SUS), Brazil has reduced health inequalities, and improved coverage and access to health care. However, mobilising sufficient financing for the universal health coverage mandate of SUS has been a constant challenge, not helped by persistent inefficiencies in the use of resources in the Brazilian health system.

This report proposes a long-term management of earlier NeRN work to be utilized also in the European and OECD context, and indicators on patients and citizens' use and experiences of eHealth services. An update to prior eHealth policy analysis shows an increase on governance and stakeholder involvement in all countries. The existing NeRN indicators form a good basis for continued monitoring. Common eHealth indicators from citizens’ point of view are needed. Current Nordic citizen surveys offer a good basis for this. Decisions on governance of eHealth benchmarking work and of collaboration between several different reporting organisations are required for long-term maagement on eHealth benchmarking. With very similar eHealth policy goals, the EU, WHO, and OECD should join forces in defining common indicators to be collected nationally and reported internationally (e.g. by Eurostat).