Essential Analytics for Hospital Managers: A Guide to Statistical Problem Solving

ISBN-13: 9783030163648 / Angielski / Miękka / 2019 / 72 str.

Murray V. Calichman

Spis treści

Chapter 1:    Work Simplification: A Method to Improve Processes – A Work Flow Diagram, A Little Logic

Chapter 2:    The Linen Multiplier: Derivation of the Linen Multiplier – Simple Mathematics, Simple Logic

Chapter 3:    The Emergency Room Holding Area: How many beds – The use of Averages, Standard Deviations and Confidence Levels

Chapter 4:    Determining “Par” Levels for Patient Supply Items: How many supply items - The use of Averages, Standard Deviations and Confidence Levels

Chapter 5:    Merging Staffing Standards with a Patient Classification System: The use of Weighted Averages

Chapter 6:    Productivity & Cost Application: An Analytics Reporting Program for Department Managers and Administrators

Chapter 7:    An CCU Bed Expansion: How many beds - Use of Poisson Arrival Rates and Summed Poisson with Truncated Data

Chapter 8:    Inventory Management: The Minimization of the Total Costs of Ordering and Holding Supplies

Chapter 9:    Forecasting Resource Needs: The Use of Trend Lines and Seasonality

Chapter 10:  Computer Simulation:         Determining an Emergency Department Trigger (to Enact a Plan of Action)

Chapter 11: Use of Linear Programming: To Maximize Net Revenue (Optimum Pricing)

Chapter 12:  Use of Linear Programming: To Eliminate Hospital Overcrowding (Optimum O.R. Scheduling)

O autorze

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.

Blurb

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.