Healthcare Analytics (eBook, PDF)

Emergency Preparedness for COVID-19
Redaktion: Rafalski, Edward M.; Mullner, Ross M.

• Format: PDF

Produktbeschreibung

The first COVID-19 case in the US was reported on January 20, 2020. As the first cases were being reported in the US, Washington State became a reliable source not just for hospital bed demand based on incidence and community spread but also for modeling the impact of skilled nursing facilities and assisted living facilities on hospital bed demand. Various hospital bed demand modeling efforts began in earnest across the United States in university settings, private consulting and health systems. Nationally, the University of Washington Institute of Health Metrics and Evaluation seemed to gain a footing and was adopted as a source for many states for its ability to predict the epidemiological curve by state, including the peak.

This book therefore 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 pandemic. What is clear, at least from the US perspective, is that the healthcare system was unprepared and uncoordinated from an analytics perspective. Learning from this experience will only better prepare all healthcare systems and leaders for future crisis.

Both prospectively, from a modeling perspective and retrospectively from a root cause analysis perspective, analytics provide clarity and help explain causation and data relationships. A more structured approach to teaching healthcare analytics to students, using the pandemic and the rich dataset that has been developed, provides a ready-made case study from which to learn and inform disaster planning and preparedness. The pandemic has strained the healthcare and public health systems. Researchers and practitioners must learn from this crisis to better prepare our processes for future pandemics, at minimum. Finally, government officials and policy makers can use this data to decide how best to assist the healthcare and public health systems in crisis.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 264
• Erscheinungstermin: 9. August 2022
• Englisch
• ISBN-13: 9781000619645
• Artikelnr.: 64210370

Autorenporträt

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