SpringerBriefs in health care management and economics
Includes bibliographical references.
Intro; Preface; Acknowledgements; Contents; 1 Work Simplification-A Method to Improve Processes; 2 The Linen Multiplier; 3 The Emergency Room Holding Area; 4 Determining "Par" Levels for Patient Supply Items; 5 Merging Staffing Standards with a Patient Classification System; 6 A Productivity and Cost Application; 7 A CCU Bed Expansion; 8 Inventory Management; 9 Forecasting Resource Needs; 10 Determining an Emergency Department Trigger; 11 Maximizing Net Revenue (Optimum Pricing); 12 Eliminating Hospital Overcrowding (Optimum O.R. Scheduling); Reference
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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.
Springer Nature
com.springer.onix.9783030163655
9783030163648
9783030163662
Hospitals-- Administration-- Mathematical models.
Hospitals-- Administration-- Statistical methods.
Hospitals-- Administration-- Mathematical models.
Hospitals-- Administration-- Statistical methods.
POLITICAL SCIENCE-- Public Policy-- Social Security.
POLITICAL SCIENCE-- Public Policy-- Social Services & Welfare.