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.