Roadmap to Successful Digital Health Ecosystems -

Roadmap to Successful Digital Health Ecosystems (eBook)

A Global Perspective
eBook Download: EPUB
2022 | 1. Auflage
610 Seiten
Elsevier Science (Verlag)
978-0-12-823639-0 (ISBN)
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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
Erscheint lt. Verlag 25.2.2022
Sprache englisch
Themenwelt Medizin / Pharmazie Allgemeines / Lexika
Studium Querschnittsbereiche Prävention / Gesundheitsförderung
Technik Umwelttechnik / Biotechnologie
Wirtschaft
ISBN-10 0-12-823639-6 / 0128236396
ISBN-13 978-0-12-823639-0 / 9780128236390
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