MARC details
| 000 -LEADER |
| fixed length control field |
04110nam a2200325 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
CSPC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20250905164117.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
250905s2023 flua b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781032068459 |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
CSPC |
| Language of cataloging |
eng |
| Transcribing agency |
CSPC |
| Description conventions |
rda |
| 050 04 - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
R858 |
| Item number |
.H43 2023 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
362.1028 |
| Item number |
H349 |
| Edition number |
23 |
| 245 00 - TITLE STATEMENT |
| Title |
Healthcare analytics : |
| Remainder of title |
emergency preparedness for COVID-19 / |
| Statement of responsibility, etc. |
edited by Edward M. Rafalski and Ross M. Mullner. |
| 250 ## - EDITION STATEMENT |
| Edition statement |
First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of production, publication, distribution, manufacture |
Boca Raton, Florida : |
| Name of producer, publisher, distributor, manufacturer |
CRC Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2023. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xiv, 289 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
| Source |
rdacarrier |
| Carrier type term |
volume |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Introduction -- Section 1. Epidemiology and analytics -- What is an epidemic, a pandemic? -- A brief history of pandemics -- The healthcare continuum -- The fog of war and data -- Sources of data/modeling -- Quantifying and responding to COVID's financial and operational impact -- Section 2. State case studies -- Measuring and addressing healthcare employee well-being in an Alabama health system during COVID-19 -- Colorado state case study -- Case study: a Florida COVID-19 dashboard -- State case study: Illinois -- Tennessee case study -- Regional modeling -- Section 3. Topics -- Healthcare analytics: the effects of the pandemic on behavioral health -- Digital transformation in healthcare: how COVID-19 was an agent for rapid change -- Telehealth -- The COVID-19 pandemic and development of drugs and vaccinations -- Value of health information exchanges to support public health reporting -- Conclusion -- Epilogue. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
"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." -- back cover. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Medical informatics |
| Geographic subdivision |
United States. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Medical care |
| Geographic subdivision |
United States |
| General subdivision |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
COVID-19 (Disease) |
| Geographic subdivision |
United States |
| General subdivision |
Data processing. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Rafalski, Edward M., |
| Relator term |
editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Mullner, Ross M., |
| Relator term |
editor. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Suppress in OPAC |
No |
| Koha item type |
Books |
| Edition |
23 |
| Classification part |
362.1028 |
| Item part |
H349 |
| Call number prefix |
GRD |
| Call number suffix |
2023 |