Making Healthcare Green
The Role of Cloud, Green IT, and Data Science to Reduce Healthcare Costs and Combat Climate Change
(Sprache: Englisch)
This book offers examples of how data science, big data, analytics, and cloud technology can be used in healthcare to significantly improve a hospital's IT Energy Efficiency along with information on the best ways to improve energy efficiency for healthcare...
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Klappentext zu „Making Healthcare Green “
This book offers examples of how data science, big data, analytics, and cloud technology can be used in healthcare to significantly improve a hospital's IT Energy Efficiency along with information on the best ways to improve energy efficiency for healthcare in a cost effective manner. The book builds on the work done in other sectors (mainly data centers) in effectively measuring and improving IT energy efficiency and includes case studies illustrating power and cooling requirements within Green Healthcare.Making Healthcare Green will appeal to professionals and researchers working in the areas of analytics and energy efficiency within the healthcare fields.
Inhaltsverzeichnis zu „Making Healthcare Green “
Chapter1. Healthcare: An Emerging Domain and its Global Importance.- Chapter2. The Role of Data Science and Data Analytics in Healthcare.- Chapter3. Healthcare and Green IT.- Chapter4. Using Data Science to Make Healthcare Green.- Chapter5. Green IT, Cloud Technologies, and Carbon Footprint in Hospitals.- Chapter6. Data Storage Strategies for Green Healthcare.- Chapter7. Collaborate to Maximize Reduction of Hospital and Healthcare Energy Use and Carbon Footprint.- Chapter8. The Need for Standard Healthcare and Hospital Energy Use and Carbon Footprint Metrics and the Triple Challenge.- Chapter9. Green Healthcare Economics - The Financial Incentives.- Chapter10. Case Studies for Green Healthcare at US Medical Colleges and Large and Small US Hospitals.- Chapter11. Worldwide Case Studies for Green Healthcare.- Chapter12. The Future for Data Science to Make Healthcare Green.
Autoren-Porträt von Nina S. Godbole, John P. Lamb
John P. Lamb is currently an adjunct professor of mathematics at Pace University in Pleasantville, NY. He is a senior member of the IEEE and ASME engineering societies, and has published more than 60 technical papers and articles. Nina Godbole is an independent consultant and recent IBM India employee living in Pune, India. She has written several books on computer technologies.
Bibliographische Angaben
- Autoren: Nina S. Godbole , John P. Lamb
- 2019, Softcover reprint of the original 1st ed. 2018, XXVIII, 263 Seiten, 26 farbige Abbildungen, Masse: 15,5 x 23,3 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030077187
- ISBN-13: 9783030077181
Sprache:
Englisch
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