Medical quality management : theory and practice

Medical quality management : theory and practice / Angelo P. Giardino, Lee Ann Riesenberg, Prathibha Varkey, editors.

This comprehensive medical textbook is a compendium of the latest information on healthcare quality. The text provides knowledge about the theory and practical applications for each of the core areas that comprise the field of medical quality management as well as insight and essential briefings on...

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Bibliographic Details
Corporate Author: American College of Medical Quality (sponsoring body.)
Other Authors: Giardino, Angelo P. (Editor), Riesenberg, Lee Ann (Editor), Varkey, Prathibha (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2021]
Edition:Third edition.
Subjects:
Medical care > United States > Quality control.
Total quality management > United States.
Health services administration.
Public health.
public health.
Medical care > Quality control
Total quality management
United States
Online Access:Click for online access
Table of Contents:
  • Intro
  • Foreword
  • Book Abstract
  • Preface
  • About the Book
  • Contents
  • About the Editors
  • Contributors
  • Chapter 1: Introduction
  • References
  • Chapter 2: Basics of Quality Improvement
  • Executive Summary
  • Learning Objectives
  • The History of the Healthcare Quality Management Movement: Past to Present
  • The Purpose and Philosophy of Quality Management
  • Implementing a Quality Improvement Project
  • Tools for Quality Improvement
  • Process Mapping
  • Flow Charts
  • Cause-and-Effect (Fishbone) Diagram
  • Brainstorming and Affinity Diagrams
  • Pareto Chart
  • Histogram
  • Bar Chart
  • Scatter Diagram
  • Statistical Control Chart
  • Methods for Quality Improvement
  • Plan, Do, Study, Act Methodology
  • Six Sigma
  • Lean
  • Commonly Used Quality Improvement Strategies
  • Academic Detailing
  • Opinion Leaders
  • Audit and Feedback
  • Reminder Systems
  • Patient Education
  • Case Management
  • Reengineering
  • Incentives
  • Quality Improvement Research
  • Challenges to Successful Quality Improvement
  • Technology
  • Structure
  • Psychological Climate
  • Leadership
  • Culture
  • Legal Issues
  • Future Trends
  • Alternative Payment Models
  • Accountable Care Organizations
  • Final Thoughts
  • References
  • Additional Resources-Further Reading
  • Chapter 3: Quality Measurement
  • Executive Summary
  • Learning Objectives
  • Introduction
  • Quality Measurement Framework
  • Desirable Characteristics of Quality Measurement
  • History
  • Types of Quality Measures
  • Structural Measures
  • Process Measures
  • Outcome Measures
  • Bundled Measures
  • Balancing Measures
  • Benchmarking
  • Constructing a Measurement
  • Proportion
  • Ratio
  • Mean and Median
  • Count
  • Timing of Measurements
  • Baseline Measurement
  • Trending Measurements
  • Run Chart
  • Control Chart
  • Interpreting Quality Measures
  • Appropriateness Model
  • The 70% Standard Model
  • Opportunity Model
  • Program Evaluation
  • Formative Evaluations
  • Summative Evaluations
  • Quality Measurement in the Digital Age
  • Big Data
  • Dark Data
  • Deep Data
  • Future Trends
  • References
  • Chapter 4: Patient Safety
  • Executive Summary
  • Learning Objectives
  • History
  • Error as a Systems Issue
  • Latent Conditions
  • Active Failures
  • Skill-Based Activity
  • Rule-Based Activity
  • Knowledge-Based Activity
  • Human Factors as a Cause of Errors
  • Fatigue
  • Alarms
  • Medication Errors
  • Specific High-Profile Medication Errors
  • Strategies to Prevent Medication Errors
  • Common Risks to Patient Safety
  • Invasive Procedures
  • Perioperative Complications and Iatrogenic Injuries
  • Infections
  • Site-Specific Infection Prevention
  • Ventilator-Associated Events
  • Patient Falls
  • Pressure (Decubitus) Ulcers
  • Patient Safety Tools
  • Tools for Data Acquisition
  • Safety Surveys
  • Error Reporting
  • Self-Reporting Systems
  • Record Review
  • Situation Monitoring
  • Analytic Tools
  • Retrospective Event Analysis
  • Prospective Event Analysis

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