This book addresses a compelling need for documenting what has been learned by the academic and professional healthcare communities in healthcare analytics and disaster preparedness to this point in the COVID-19 pandemic.
This book addresses a compelling need for documenting what has been learned by the academic and professional healthcare communities in healthcare analytics and disaster preparedness to this point in the COVID-19 pandemic.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Edward M. Rafalski is Adjunct Assistant Professor at University of Illinois School of Public Health, and an Affiliate Associate Professor at the University of South Florida, College of Public Health. He holds qualifications from the University of Chicago and Yale University School of Public Health.
Inhaltsangabe
Introduction Edward M. Rafalski I. Section 1 Epidemiology and analytics 1. What is a pandemic, an epidemic? Jonathan A. McCullers 2. A brief history of pandemics Jonathan A. McCullers 3. Health care continuum Edward M. Rafalski 4. The fog of war and data Edward M. Rafalski 5. Sources of data/modeling Edward M. Rafalski and Robert Marksthaler 6. Quantifying and responding to COVID's financial and operational impact Mark Grube and Rob Fromberg II. Section 2 State case studies 7. Measuring and addressing healthcare employee well being in an Alabama health system during COVID 19 Katherine A. Meese et al. 8. Colorado state case study Adom Netsanet et al. 9. Case study: A Florida COVID 19 dashboard Zachary Pruitt et al. 10. State case study: Illinois Helen Margellos Anast et al. 11. Tennessee case study Cori Cohen Grant et al. 12. Regional modeling Madeleine McDowell et al. III. Section 3 Topics 13. Healthcare analytics: The effects of the pandemic on behavioral health Kasey Knopp and Naakesh (Nick) Dewan 14. Digital transformation in healthcare: How COVID 19 was an agent for rapid change Bala Hota and Omar Lateef 15. Telehealth Richard Fine 16. The COVID 19 pandemic and development of drugs and vaccinations Pradeep S. B. Podila 16. Value of health information exchanges to support public health reporting Pradeep S. B. Podila Conclusion Edward M. Rafalski and Ross M. Mullner Epilogue Edward M. Rafalski
Introduction Edward M. Rafalski I. Section 1 Epidemiology and analytics 1. What is a pandemic, an epidemic? Jonathan A. McCullers 2. A brief history of pandemics Jonathan A. McCullers 3. Health care continuum Edward M. Rafalski 4. The fog of war and data Edward M. Rafalski 5. Sources of data/modeling Edward M. Rafalski and Robert Marksthaler 6. Quantifying and responding to COVID's financial and operational impact Mark Grube and Rob Fromberg II. Section 2 State case studies 7. Measuring and addressing healthcare employee well being in an Alabama health system during COVID 19 Katherine A. Meese et al. 8. Colorado state case study Adom Netsanet et al. 9. Case study: A Florida COVID 19 dashboard Zachary Pruitt et al. 10. State case study: Illinois Helen Margellos Anast et al. 11. Tennessee case study Cori Cohen Grant et al. 12. Regional modeling Madeleine McDowell et al. III. Section 3 Topics 13. Healthcare analytics: The effects of the pandemic on behavioral health Kasey Knopp and Naakesh (Nick) Dewan 14. Digital transformation in healthcare: How COVID 19 was an agent for rapid change Bala Hota and Omar Lateef 15. Telehealth Richard Fine 16. The COVID 19 pandemic and development of drugs and vaccinations Pradeep S. B. Podila 16. Value of health information exchanges to support public health reporting Pradeep S. B. Podila Conclusion Edward M. Rafalski and Ross M. Mullner Epilogue Edward M. Rafalski
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