Muutke küpsiste eelistusi

E-raamat: Analytics and Decision Support in Health Care Operations Management

(Department of Health Administration, Virginia Commonwealth University, Richmond, Virginia)
  • Formaat: PDF+DRM
  • Sari: Jossey-Bass Public Health
  • Ilmumisaeg: 20-Mar-2017
  • Kirjastus: Jossey-Bass Inc.,U.S.
  • Keel: eng
  • ISBN-13: 9781119219835
Teised raamatud teemal:
  • Formaat - PDF+DRM
  • Hind: 107,38 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Analytics and Decision Support in Health Care Operations ManagementSuurem pilt
  • Formaat: PDF+DRM
  • Sari: Jossey-Bass Public Health
  • Ilmumisaeg: 20-Mar-2017
  • Kirjastus: Jossey-Bass Inc.,U.S.
  • Keel: eng
  • ISBN-13: 9781119219835
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

A compendium of health care quantitative techniques based in Excel Analytics and Decision Support in Health Care Operations is a comprehensive introductory guide to quantitative techniques, with practical Excel-based solutions for strategic health care management. This new third edition has been extensively updated to reflect the continuously evolving field, with new coverage of predictive analytics, geographical information systems, flow process improvement, lean management, six sigma, health provider productivity and benchmarking, project management, simulation, and more. Each chapter includes additional new exercises to illustrate everyday applications, and provides clear direction on data acquisition under a variety of hospital information systems. Instructor support includes updated Excel templates, PowerPoint slides, web based chapter end supplements, and data banks to facilitate classroom instruction, and working administrators will appreciate the depth and breadth of information with clear applicability to everyday situations.

The ability to use analytics effectively is a critical skill for anyone involved in the study or practice of health services administration. This book provides a comprehensive set of methods spanning tactical, operational, and strategic decision making and analysis for both current and future health care administrators.





Learn critical analytics and decision support techniques specific to health care administration Increase efficiency and effectiveness in problem-solving and decision support Locate appropriate data in different commonly-used hospital information systems Conduct analyses, simulations, productivity measurements, scheduling, and more

From statistical techniques like multiple regression, decision-tree analysis, queuing and simulation, to field-specific applications including surgical suite scheduling, roster management, quality monitoring, and more, analytics play a central role in health care administration. Analytics and Decision Support in Health Care Operations provides essential guidance on these critical skills that every professional needs.
Tables and Figures xi
Acknowledgments xxi
The Author xxiii
Introduction xxv
Chapter-by-Chapter Revisions for the Third Edition xxvii
Chapter 1 Introduction to Analytics and Decision Support in Health Care Operations Management 1(26)
Learning Objectives
1(1)
Historical Background and the Development of Decision Techniques
2(1)
The Health Care Manager and Decision Making
3(1)
Importance of Health Analytics: Information Technology (IT) and Decision Support Techniques
3(1)
The Scope of Health Care Services, and Recent Trends
4(1)
Health Care Services Management
5(1)
Distinctive Characteristics of Health Care Services
5(2)
Big Data and Data Flow in Health Care Organizations
7(2)
Summary
9(1)
Key Terms
9(1)
Chapter 1 Supplement: Data Analytics in MS Excel: Creating and Manipulating Pivot Tables
10(13)
Exercises
23(4)
Chapter 2 Predictive Analytics 27(58)
Learning Objectives
27(1)
Steps in the Predictive Analytics Process
28(1)
Predictive Analytics Techniques
29(36)
Judgmental Predictions
29(1)
Time-Series Technique
30(1)
Techniques for Averaging
31(10)
Techniques for Trend
41(14)
Predictive Techniques for Seasonality
55(6)
Accuracy of Predictive Analytics
61(1)
Prediction Control
62(3)
Summary
65(1)
Key Terms
65(1)
Exercises
66(19)
Chapter 3 Decision Making in Health Care 85(50)
Learning Objectives
85(1)
The Decision Process
85(16)
What Causes Poor Decisions?
87(1)
The Decision Level and Decision Milieu
87(1)
Decision Making under Uncertainty
88(1)
Payoff Table
88(5)
Decision Making under Risk
93(4)
What If Payoffs Are Costs
97(4)
The Decision Tree Approach
101(1)
Analysis of the Decision Tree: Rollback Procedure
102(1)
Sensitivity Analysis in Decision Making
103(4)
Decision Analysis with Nonmonetary Values and Multiple Attributes
107(3)
Clinical Decision Making and Implications for Management
110(4)
Summary
114(1)
Key Terms
114(1)
Exercises
115(20)
Chapter 4 Facility Location 135(34)
Learning Objectives
135(2)
Location Methods
137(17)
Cost-Profit-Volume (CPV) Analysis
137(3)
Factor Rating Methods
140(3)
Multi-Attribute Methods
143(2)
Center of Gravity Method
145(4)
Geographic Information Systems (GIS) in Health Care
149(5)
Summary
154(1)
Key Terms
154(1)
Exercises
155(14)
Chapter 5 Facility Layout 169(28)
Learning Objectives
169(1)
Product Layout
170(1)
Process Layout
171(4)
Process Layout Methods
171(4)
Method of Minimizing Distances and Costs
175(1)
Computer-Based Layout Programs
175(2)
Fixed-Position Layout
177(3)
Summary
180(1)
Key Terms
180(1)
Exercises
181(16)
Chapter 6 Flow Processes Improvement: Reengineering and Lean Management 197(56)
Learning Objectives
197(1)
Reengineering
198(1)
Lean Management
199(4)
Work Design in Health Care Organizations
203(34)
Work Measurement Using Time Standards
207(7)
Work Measurement Using Work Sampling
214(9)
Work Simplification
223(14)
Worker Compensation
237(1)
Summary
237(1)
Key Terms
238(1)
Exercises
238(15)
Chapter 7 Staffing 253(28)
Learning Objectives
253(1)
Workload Management Overview
254(19)
Establishment of Workload Standards and Their Influence on Staffing Levels
254(2)
Patient Acuity Systems
256(5)
The Development of Internal Workload Standards
261(2)
Procedurally Based Unit Staffing
263(3)
Acuity-Based Unit Staffing
266(4)
External Work Standards and Their Adjustments
270(1)
Productivity and Workload Management
271(2)
Summary
273(1)
Key Terms
273(1)
Exercises
273(8)
Chapter 8 Scheduling 281(16)
Learning Objectives
281(1)
Staff Scheduling
281(9)
Surgical Suite Resource Scheduling
290(4)
Summary
294(1)
Key Terms
295(1)
Exercises
295(2)
Chapter 9 Productivity and Performance Benchmarking 297(36)
Learning Objectives
297(1)
Trends in Health Care Productivity: Consequences of Reforms and Policy Decisions
298(1)
Productivity Definitions and Measurements
299(3)
Commonly Used Productivity Ratios
302(8)
Adjustments for Inputs
304(4)
Adjustments for Outputs
308(2)
Case Mix Adjustments
310(2)
Productivity Measures Using Direct Care Hours
312(2)
The Relationships between Productivity and Quality in Hospital Settings
314(2)
Dealing with the Multiple Dimensions of Productivity: New Methods of Measurement and Benchmarking
316(2)
Data Envelopment Analysis
318(3)
Overview on Improving Health Care Productivity
321(2)
Summary
323(1)
Key Terms
323(1)
Exercises
323(10)
Chapter 10 Resource Allocation 333(30)
Learning Objectives
333(1)
Linear Programming
333(13)
Maximization Models
335(10)
Minimization Models
345(1)
Integer Programming
346(9)
Summary
355(1)
Key Terms
356(1)
Exercises
356(7)
Chapter 11 Supply Chain and Inventory Management 363(30)
Learning Objectives
363(1)
Health Care Supply Chain
363(21)
Traditional Inventory Management
370(4)
Economic Order Quantity Model
374(5)
Classification System
379(5)
Summary
384(1)
Key Terms
384(1)
Exercises
384(9)
Chapter 12 Quality Control and Improvement 393(38)
Learning Objectives
393(1)
Quality in Health Care
393(6)
Total Quality Management (TQM) and Continuous Quality Improvement (CQI)
397(1)
Six-Sigma
398(1)
Quality Measurement and Control Techniques
399(16)
Monitoring Variation through Control Charts
401(2)
Control Charts for Attributes
403(4)
Control Charts for Continuous Variables
407(5)
Investigation of Control Chart Patterns
412(3)
Process Improvement
415(6)
Tools for Investigating the Presence of Quality Problems and Their Causes
417(4)
Summary
421(1)
Key Terms
421(1)
Exercises
421(10)
Chapter 13 Project Management 431(46)
Learning Objectives
431(1)
The Characteristics of Projects
432(29)
Planning and Scheduling Projects
434(2)
The Network
436(1)
Critical Path Method (CPM)
437(4)
Probabilistic Approach
441(7)
Project Compression: Trade-Offs Between Reduced Project Time and Cost
448(13)
Project Management Applications in Clinical Settings: Clinical Pathways
461(3)
Summary
464(1)
Key Terms
464(1)
Exercises
464(13)
Chapter 14 Queuing Models and Capacity Planning 477(30)
Learning Objectives
477(2)
Queuing System Characteristics
479(15)
Capacity Analysis and Costs
494(2)
Summary
496(1)
Key Terms
497(1)
Exercises
497(10)
Chapter 15 Simulation 507(20)
Learning Objectives
507(1)
Simulation Process
507(9)
Monte Carlo Simulation Method
510(6)
Performance Measures and Managerial Decisions
516(1)
Excel-Based Simulation Templates with Performance Measures and Managerial Decisions
517(5)
Multiphase Simulation Model
520(2)
Summary
522(1)
Key Terms
522(1)
Exercises
522(5)
Appendixes
Appendix A: Standard Normal Distribution
527(2)
Appendix B: Standard Normal Distribution
529(4)
Appendix C: Cumulative Poisson Probabilities
533(6)
Appendix D: t-Distribution
539(2)
References 541(8)
Index 549
The Author

YASAR A. OZCAN, PhD, is Charles P. Cardwell, Jr. Professor and vice chair and director of the Master of Science in Health Administration program at Virginia Commonwealth University. Extensively published in health care performance assessment, he is the founding Editor-in-Chief of Health Care Management Science. Dr. Ozcan's massive work has applied data envelopment analysis to health care facilities including hospitals, nursing homes, mental health care organizations, and more. He has taught health analytics and decision support in VCU's MHA and Executive MSHA graduate programs for more than 30 years.
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97811192198352e.html
Märksõnad: