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

• 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: Health care management.; Health services administration.; Practice of medicine.; Statistics .; Production management.; Big data.; Health Care Management.; Practice and Hospital Management.; Statistics for Business, Management, Economics, Finance, Insurance.; Statistics for Life Sciences, Medicine, Health Sciences.; Operations Management.; Big Data/Analytics.

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...

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).-.