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

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Calichman, Murray V. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:SpringerBriefs in Health Care Management and Economics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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 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).-.