Evelyn J.S. Hovenga AM – författare

Measuring Capacity to Care Using Nursing Data presents evidence-based solutions regarding the adoption of safe staffing principles and the optimum use of operational data to enable health service delivery strategies that result in improved patient and organizational outcomes. Readers will learn how to make better use of informatics to collect, share, link and process data collected operationally for the purpose of providing real-time information to decision- makers. The book discusses topics such as dynamic health care environments, health care operational inefficiencies and costly events, how to measure nursing care demand, nursing models of care, data quality and governance, and big data.

The content of the book is a valuable source for graduate students in informatics, nurses, nursing managers and several members involved in health care who are interested in learning more about the beneficial use of informatics for improving their services.

Presents and discusses evidences from real-world case studies from multiple countries Provides detailed insights of health system complexity in order to improve decision- making Demonstrates the link between nursing data and its use for efficient and effective healthcare service management Discusses several limitations currently experienced and their impact on health service delivery

Measuring Capacity to Care Using Nursing Data presents evidence-based solutions regarding the adoption of safe staffing principles and the optimum use of operational data to enable health service delivery strategies that result in improved patient and organizational outcomes. Readers will learn how to make better use of informatics to collect, share, link and process data collected operationally for the purpose of providing real-time information to decision- makers. The book discusses topics such as dynamic health care environments, health care operational inefficiencies and costly events, how to measure nursing care demand, nursing models of care, data quality and governance, and big data.

The content of the book is a valuable source for graduate students in informatics, nurses, nursing managers and several members involved in health care who are interested in learning more about the beneficial use of informatics for improving their services.

Presents and discusses evidences from real-world case studies from multiple countries Provides detailed insights of health system complexity in order to improve decision- making Demonstrates the link between nursing data and its use for efficient and effective healthcare service management Discusses several limitations currently experienced and their impact on health service delivery

Roadmap to Successful Digital Health Ecosystems: A Global Perspective presents evidence-based solutions found on adopting open platforms, standard information models, technology neutral data repositories, and computable clinical data and knowledge (ontologies, terminologies, content models, process models, and guidelines), resulting in improved patient, organizational, and global health outcomes. The book helps engaging countries and stakeholders take action and commit to a digital health strategy, create a global environment and processes that will facilitate and induce collaboration, develop processes for monitoring and evaluating national digital health strategies, and enable learnings to be shared in support of WHO's global strategy for digital health.

The book explains different perspectives and local environments for digital health implementation, including data/information and technology governance, secondary data use, need for effective data interpretation, costly adverse events, models of care, HR management, workforce planning, system connectivity, data sharing and linking, small and big data, change management, and future vision. All proposed solutions are based on real-world scientific, social, and political evidence.

Provides a roadmap, based on examples already in place, to develop and implement digital health systems on a large-scale that are easily reproducible in different environments Addresses World Health Organization (WHO)-identified research gaps associated with the feasibility and effectiveness of various digital health interventions Helps readers improve future decision-making within a digital environment by detailing insights into the complexities of the health system Presents evidence from real-world case studies from multiple countries to discuss new skills that suit new paradigms

Roadmap to Successful Digital Health Ecosystems: A Global Perspective presents evidence-based solutions found on adopting open platforms, standard information models, technology neutral data repositories, and computable clinical data and knowledge (ontologies, terminologies, content models, process models, and guidelines), resulting in improved patient, organizational, and global health outcomes. The book helps engaging countries and stakeholders take action and commit to a digital health strategy, create a global environment and processes that will facilitate and induce collaboration, develop processes for monitoring and evaluating national digital health strategies, and enable learnings to be shared in support of WHO''s global strategy for digital health.The book explains different perspectives and local environments for digital health implementation, including data/information and technology governance, secondary data use, need for effective data interpretation, costly adverse events, models of care, HR management, workforce planning, system connectivity, data sharing and linking, small and big data, change management, and future vision. All proposed solutions are based on real-world scientific, social, and political evidence.- Provides a roadmap, based on examples already in place, to develop and implement digital health systems on a large-scale that are easily reproducible in different environments- Addresses World Health Organization (WHO)-identified research gaps associated with the feasibility and effectiveness of various digital health interventions- Helps readers improve future decision-making within a digital environment by detailing insights into the complexities of the health system- Presents evidence from real-world case studies from multiple countries to discuss new skills that suit new paradigms

Roadmap to Successful Digital Health Ecosystems: A Global Perspective, Second Edition, explores the transformative integration of digital health technologies to enhance healthcare delivery and patient outcomes. This book provides a comprehensive overview of the evolving landscape of digital health, focusing on next-generation systems and the role of artificial intelligence in creating efficient healthcare ecosystems. The revised content covers topics such as regional implementation experiences, workforce management, and precision healthcare. New chapters highlight advancements in digital health technologies, case studies from Jamaica and Africa, and strategies for addressing fragmentation in healthcare systems. The book emphasizes ethical AI use and proactive, integrated healthcare approaches. For the academic audience, this revision serves as an essential resource, compiling cutting-edge research and practical applications that inform best practices in digital health. It equips researchers, educators, and practitioners with the knowledge needed to navigate the complexities of digital health ecosystems and drive innovation in their fields.Introduces new chapters that focus on next-generation systems, regional implementation experiences in Jamaica and Africa, and the role of AI in precision healthcare providing readers with updated and relevant case studiesHighlights the importance of digital health workforce management, equipping readers with insights into preparing professionals for the evolving demands of digital health ecosystemsReflects recent advancements in digital health technologies and research findings, ensuring that the content remains current and valuable for academics and practitioners in the field