Essential Analytics for Hospital Managers: A Guide to Statistical Problem Solving (SpringerBriefs in Health Care Management and Economics) - Tapa blanda

Libro 8 de 9: SpringerBriefs in Health Care Management and Economics

Calichman, Murray V.

 
9783030163648: Essential Analytics for Hospital Managers: A Guide to Statistical Problem Solving (SpringerBriefs in Health Care Management and Economics)
Tapa blanda
ISBN 10: 3030163644 ISBN 13: 9783030163648
Editorial: Springer, 2019

Sinopsis

This book provides practical applications of statistical and mathematical concepts to resolve common issues in hospital management. Each chapter discusses a key component of hospital operations, such as maximizing hospital profitability through pricing optimization, forecasting facility requirements from historical data, and determining optimal patient schedules to fully utilize hospital resources in order to eliminate over-crowding in the emergency department. Structured by the degree of mathematical complexity, this professional book utilizes problem-solving methodologies ranging from basic statistical concepts (means and standard deviations) to more advanced statistics (Poisson distributions and queuing theory). Concluding with computer applications and simulations, the practical examples will help hospital managers to optimally and innovatively make use of linear programming. The book’s main goal is to make hospital personnel more aware of the benefits of management science methodologies that are not usually employed in today’s hospitals.

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Acerca del autor

Murray V. Calichman obtained BSc. in Management from Rensselaer Polytechnic Institute (1964) and took graduate courses in operations research at the Bernard Baruch School of Business Administration at City College, NY, USA. He was president of GBC Consulting Corporation and provided management engineering services to hospitals for 35 years before becoming director of Operational Research and Analytics for St. Francis Hospital/Catholic Health Services of Long Island for 11 years.


De la contraportada

This book provides practical applications of statistical and mathematical concepts to resolve common issues in hospital management. Each chapter discusses a key component of hospital operations, such as maximizing hospital profitability through pricing optimization, forecasting facility requirements from historical data, and determining optimal patient schedules to fully utilize hospital resources in order to eliminate over-crowding in the emergency department. Structured by the degree of mathematical complexity, this professional book utilizes problem-solving methodologies ranging from basic statistical concepts (means and standard deviations) to more advanced statistics (Poisson distributions and queuing theory). Concluding with computer applications and simulations, the practical examples will help hospital managers to optimally and innovatively make use of linear programming. The book s main goal is to make hospital personnel more aware of the benefits of management science methodologies that are not usually employed in today s hospitals.

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Editorial
Springer
Año de publicación
2019
Idioma
Inglés
ISBN 10 
3030163644
ISBN 13 
9783030163648
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
84
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