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Record Nr. |
UNINA9910337800803321 |
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Autore |
Calichman Murray V |
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Titolo |
Essential Analytics for Hospital Managers : A Guide to Statistical Problem Solving / / by Murray V. Calichman |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (75 pages) : illustrations |
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Collana |
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SpringerBriefs in Health Care Management and Economics, , 2193-1704 |
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Disciplina |
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658.91362110942 |
362.11068 |
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Soggetti |
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Health care management |
Health services administration |
Practice of medicine |
Statistics |
Production management |
Big data |
Health Care Management |
Practice and Hospital Management |
Statistics for Business, Management, Economics, Finance, Insurance |
Statistics for Life Sciences, Medicine, Health Sciences |
Operations Management |
Big Data/Analytics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Work Simplification: A Method to Improve Processes – A Work Flow Diagram, A Little Logic -- The Linen Multiplier: Derivation of the Linen Multiplier – Simple Mathematics, Simple Logic -- The Emergency Room Holding Area: How Many Beds – The Use of Averages, Standard Deviations and Confidence Levels -- Determining “Par” Levels for Patient Supply Items: How Many Supply Items - The Use of Averages, Standard Deviations and Confidence Levels -- Merging Staffing Standards with a Patient Classification System: The Use of Weighted |
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Averages -- Productivity & Cost Application: An Analytics Reporting Program for Department Managers and Administrators -- An CCU Bed Expansion: How many Beds - Use of Poisson Arrival Rates and Summed Poisson with Truncated Data -- Inventory Management: The Minimization of the Total Costs of Ordering and Holding Supplies -- Forecasting Resource Needs: The Use of Trend Lines and Seasonality -- Computer Simulation: Determining an Emergency Department Trigger (to Enact a Plan of Action) -- Use of Linear Programming: To Maximize Net Revenue (Optimum Pricing) -- Use of Linear Programming: To Eliminate Hospital Overcrowding (Optimum O.R. Scheduling).-. |
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Sommario/riassunto |
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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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