Providing comparison between context in Europe and the US, this volume investigates the digital transformation of health systems, comparing strategies for digital development while identifying key innovations and future challenges.This important book will interest students, scholars and practitioners across Health and Social Care and beyond.
Providing comparison between context in Europe and the US, this volume investigates the digital transformation of health systems, comparing strategies for digital development while identifying key innovations and future challenges.This important book will interest students, scholars and practitioners across Health and Social Care and beyond.
Marzenna Anna Weresa is Professor at the SGH Warsaw School of Economics, Poland; director of the World Economy Research Institute, Poland; a member of the Microeconomics of Competitiveness Affiliate Network at Harvard Business School, Boston; a principal investigator in research projects financed by FP7, Horizon 2020, Bloomberg Initiative Grants, and COST Actions; and an expert for the European Commission on policies for research and innovation. Her research focuses on innovation systems and policy, digital transformation, FDI, international trade, and competitiveness. Christina Ciecierski is a Professor in the Department of Economics, co-director of the Center of Health and principal investigator for the Chicago Cancer Health Equity Collaborative (ChicagoCHEC) at Northeastern Illinois University, US. Her research focuses on consumer health behaviors, health disparities, and policy. Research reported in this publication is supported, in part, by the National Institutes of Health's National Cancer Institute, Grant Numbers U54CA202995, U54CA202997, and U54CA203000. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Lidia Filus is Professor and chair of Mathematics, Northeastern Illinois University, US, and principal investigator at Chicago Cancer Health Equity Collaborative (ChicagoCHEC), Northeastern Illinois University, US. Research reported in this publication is supported, in part, by the National Institutes of Health's National Cancer Institute, Grant Numbers U54CA202995, U54CA202997, and U54CA203000. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Inhaltsangabe
INTRODUCTION PART 1. DIGITAL INNOVATION IN HEALTH: SETTING THE SCENE 1. Nature of Digital Health Innovation: Mapping the Research Field 2. Digital Readiness in Healthcare: Comparative Analysis of EU and US Resources and Capabilities 3. Funding of the Digital Health Transformation in the United States: Comparative Study of Venture Capital and Initial Public Offering PART 2. DIGITALIZATION OF HEALTH SYSTEMS: EVIDENCE FROM POLAND 4. Digital Health Index in Poland: A Comparative Perspective 5. Teleconsultations in Poland: Will the COVID-Driven Popularization of Teleconsultations Turn into a Long-Lasting Strategy? PART 3: DIGITALIZATION IN MEDICAL RESEARCH PRACTICE 6. Adaptation of Time Series Analysis to Central Statistical Monitoring of Clinical Trials: A Pilot Study 7. Generalized Diffusion Model to Understand and Predict Viral Spread CONCLUSIONS AND IMPLICATIONS
INTRODUCTION PART 1. DIGITAL INNOVATION IN HEALTH: SETTING THE SCENE 1. Nature of Digital Health Innovation: Mapping the Research Field 2. Digital Readiness in Healthcare: Comparative Analysis of EU and US Resources and Capabilities 3. Funding of the Digital Health Transformation in the United States: Comparative Study of Venture Capital and Initial Public Offering PART 2. DIGITALIZATION OF HEALTH SYSTEMS: EVIDENCE FROM POLAND 4. Digital Health Index in Poland: A Comparative Perspective 5. Teleconsultations in Poland: Will the COVID-Driven Popularization of Teleconsultations Turn into a Long-Lasting Strategy? PART 3: DIGITALIZATION IN MEDICAL RESEARCH PRACTICE 6. Adaptation of Time Series Analysis to Central Statistical Monitoring of Clinical Trials: A Pilot Study 7. Generalized Diffusion Model to Understand and Predict Viral Spread CONCLUSIONS AND IMPLICATIONS
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