Essential Analytics for Hospital Managers

1. Front Matter

   Pages i-ix

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2. Work Simplification—A Method to Improve Processes

   • Murray V. Calichman

   Pages 1-3

3. The Linen Multiplier

   • Murray V. Calichman

   Pages 5-7

4. The Emergency Room Holding Area

   • Murray V. Calichman

   Pages 9-13

5. Determining “Par” Levels for Patient Supply Items

   • Murray V. Calichman

   Pages 15-17

6. Merging Staffing Standards with a Patient Classification System

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   Pages 19-22

7. A Productivity and Cost Application

   • Murray V. Calichman

   Pages 23-25

8. A CCU Bed Expansion

   • Murray V. Calichman

   Pages 27-30

9. Inventory Management

   • Murray V. Calichman

   Pages 31-35

10. Forecasting Resource Needs

    • Murray V. Calichman

    Pages 37-44

11. Determining an Emergency Department Trigger

    • Murray V. Calichman

    Pages 45-51

12. Maximizing Net Revenue (Optimum Pricing)

    • Murray V. Calichman

    Pages 53-58

13. Eliminating Hospital Overcrowding (Optimum O.R. Scheduling)

    • Murray V. Calichman

    Pages 59-72

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.

• Analytics
• Applied statistics
• Hospital management
• Linear programming
• Optimization
• Profitability
• Standard deviation
• Poisson distributions
• Work simplification
• Inventory analysis
• Hospital analysis

• Huntington Station, USA

  Murray V. Calichman

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.

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