What will you learn in CPHQ Training Program?

Key Learning Outcomes

  1. Understand Healthcare Quality Principles:
    Gain in-depth knowledge of healthcare quality concepts, frameworks, and terminologies to improve patient care and organizational outcomes.

  2. Develop Strategic Leadership Skills:
    Learn effective leadership techniques, governance structures, and strategic planning to drive quality improvement initiatives.

  3. Enhance Patient Safety:
    Master proactive and reactive risk management approaches, Root Cause Analysis (RCA), and tools like the Swiss Cheese Model to minimize healthcare errors.

  4. Apply Financial Management Principles:
    Evaluate cost-effectiveness, calculate ROI, and analyze financial resources to implement efficient healthcare quality projects.

  5. Strengthen People Management:
    Empower and motivate teams through participative management, decision-making frameworks, and change management strategies.

  6. Improve Organizational Performance:
    Implement methodologies such as PDCA, Six Sigma, and Lean Thinking to streamline processes, reduce inefficiencies, and improve performance.

  7. Leverage Information Management Tools:
    Utilize data collection methods, statistical analysis, and knowledge cycles to make informed decisions in healthcare quality initiatives.

  8. Master Data Analysis with SPC Charts:
    Apply Statistical Process Control (SPC) tools like Shewhart charts to monitor, evaluate, and improve healthcare processes.

  9. Prepare for the CPHQ Exam:
    Align professional skills with exam objectives and develop a structured study plan to confidently achieve CPHQ certification.

  10. Implement Evidence-Based Practices:
    Apply advanced tools and techniques to solve real-world healthcare quality challenges and improve overall patient outcomes.

 

Leeson Plan

 

Module 1: Introduction
This module provides an overview of the CPHQ certification, its importance in healthcare, and how it benefits both individuals and organizations. Participants will learn about the objectives of the certification, eligibility requirements, and the structure of the CPHQ examination content outline.

  • What is CPHQ & Why it is Important for Healthcare?

  • Benefits of CPHQ Certification

  • Objectives of CPHQ Certification

  • Eligibility Requirements

  • CPHQ Examination Content Outline

Skill Set Endorsed:

  • Understanding the significance of CPHQ in healthcare quality.

  • Familiarity with eligibility and certification pathways.

  • Knowledge of exam content and objectives.

  • Ability to align career goals with certification outcomes.

 

Module 2: Strategic Leadership

 
This module focuses on the fundamentals of leadership and its impact on organizational success. Participants will understand the difference between leadership and management, leadership styles, and values, and the characteristics of effective leaders. It also covers organizational structures and the roles and responsibilities of governance bodies.
  

  • Leadership Concept

  • Leadership vs Management

  • Leadership Styles and Values

  • Characteristics of a Leader

  • Organizational Structure

  • Governance Body - Roles & Responsibilities

Skill Set Endorsed:

  • Differentiating leadership and management approaches.

  • Identifying leadership styles and their impact.

  • Building strategic leadership skills.

  • Understanding organizational and governance frameworks.

 

Module 3: Patient Safety Management – Risk Management & AHO

 
Participants will explore risk management principles and processes, learn to differentiate between traditional and enterprise risks and understand proactive and reactive approaches. This module emphasizes identifying various risks, analyzing errors, and integrating risk management into patient safety strategies.

  • Defining Risk Management

  • RM Process Overview

  • Various Risks

  • Traditional Risk vs Enterprise Risk

  • Proactive vs Reactive Approaches

  • Components of Risk Management

  • Types of Errors

Skill Set Endorsed:

  • Identifying and categorizing risks in healthcare.

  • Applying proactive and reactive risk management techniques.

  • Integrating error analysis into patient safety measures.

  • Developing enterprise risk management strategies.

 

Module 4: Financial Management & Utilization Management
This module introduces financial management concepts, including budgeting, cost analysis, and return on investment (ROI). Participants will learn to evaluate cost-effectiveness, analyze productivity indices, and assess the cost of quality to enhance resource utilization.
  

  • Defining Financial Management

  • Types of Budgets & Costs

  • Cost-Benefit Analysis

  • Cost-Effective Analysis

  • Return on Investment (ROI)

  • Productivity Index

  • Cost of Quality

Skill Set Endorsed:

  • Performing cost-benefit and cost-effectiveness analysis.

  • Analyzing ROI in healthcare projects.

  • Understanding productivity and quality cost measures.

  • Managing budgets and financial resources effectively.

 

Module 5: People Management 
Participants will learn leadership techniques to motivate and empower teams, implement participative management, and manage change effectively. This module also covers problem-solving and decision-making frameworks essential for people management.

  • Leaders as Motivators

  • Participative Management

  • Components of Participative Management Empowerment

  • Decision-Making

  • Problem-Solving

  • Change Management

Skill Set Endorsed:

  • Motivating and empowering teams for better outcomes.

  • Applying participative management principles.

  • Enhancing decision-making and problem-solving skills.

  • Managing organizational changes effectively.

 

Module 6: Performance Improvement & Information Management 
This module equips participants with tools and methodologies like PDCA, Six Sigma, and Lean thinking to improve healthcare performance. It also emphasizes the importance of information management, the knowledge cycle, and risk adjustment in decision-making.

  

  • Xerox Benchmarking

  • PDCA (Plan-Do-Check-Act)

  • Deming Cycle (DCA)

  • Six Sigma

  • Lean Methodology / Thinking / Value Stream Mapping

  • Information Management

  • Knowledge Cycle

  • Risk Adjustment

Skill Set Endorsed:

  • Implementing performance improvement tools like PDCA and Six Sigma.

  • Understanding and applying Lean principles.

  • Managing healthcare data for informed decision-making.

  • Conducting benchmarking and risk adjustment analyses.

 

Module 7: Information Management Statistics 
This module provides statistical tools for healthcare quality, focusing on understanding ratios, rates, morbidity, and mortality analysis. Participants will also learn to differentiate data from information and analyze variations effectively.

  • Understanding Ratios, Rates & Proportions

  • Morbidity, Incidence, Prevalence & Mortality Rates

  • Case Report & Case Series Data Analysis

  • Data vs Information

  • Understanding Variation

Skill Set Endorsed:

  • Applying statistical measures to healthcare scenarios.

  • Analyzing morbidity and mortality rates.

  • Differentiating and utilizing data and information effectively.

  • Identifying variations and their impact on outcomes.

 

Module 8: Data Analysis with Statistical Process Control Charts (SPC) 
Participants will master the use of Shewhart charts to analyze healthcare processes, understand special cause variations, and apply SPC tools to improve outcomes.

  • Elements of Shewhart Charts

  • Underlying Theory of SPC Charts

  • Rules for Identifying Special Cause Variation

  • Application of SPC Charts to Measures

Skill Set Endorsed:

  • Understanding and applying SPC chart elements.

  • Identifying and addressing special cause variation.

  • Using statistical tools to analyze and improve healthcare processes.

  • Monitoring and controlling process variations effectively.

 

Tools Covered

Quality Improvement Tools

  • Brainstorming: Generate innovative ideas for quality improvement.

  • Affinity Diagram: Organize ideas into categories for better analysis.

  • Cause and Effect Diagram (Fishbone): Identify root causes of problems.

  • 5 Whys and Why-Why Diagram: Dive deep into problem-solving by questioning causes.

  • Pareto Analysis: Prioritize efforts by identifying key issues impacting outcomes.

  • Scatter Plot Diagram: Visualize and analyze relationships between variables.

  • Failure Mode and Effects Analysis (FMEA): Identify potential failures and their impacts.

  • Prioritization Matrix: Strategically prioritize tasks and solutions.

Statistical and Data Analysis Tools

  • Shewhart Charts (SPC): Monitor process stability and identify variations.

  • Run Charts and Rules: Analyze trends over time.

  • Histogram and Bar Charts: Visualize frequency distributions.

  • Pie Charts: Represent proportional data effectively.

  • Scatter Plots: Evaluate correlations between variables.

  • Delphi Technique: Gain consensus among experts.

Process Improvement Tools

  • PDCA (Plan-Do-Check-Act): Implement continuous improvement cycles.

  • PDSA (Deming Cycle): Test and refine processes.

  • Six Sigma: Optimize processes by reducing variations.

  • Lean Methodology and Value Stream Mapping: Eliminate waste and streamline workflows.

  • Process Flow Mapping: Visualize end-to-end workflows.

  • Activity Network Diagram: Plan and track project timelines.

  • Deployment Chart: Detail roles and responsibilities within processes.

Strategic Tools

  • SWOT Analysis: Assess strengths, weaknesses, opportunities, and threats.

  • Force Field Analysis: Analyze forces for and against change.

  • Strategic Planning Models: Guide organizational growth and improvement.

  • Visual Management Boards: Communicate progress and metrics effectively.

  • Storyboards: Present project findings visually and succinctly.

Statistical Testing Tools

  • T-test: Compare means between groups.

  • Z-test: Analyze population-level data.

  • Chi-Square Test: Test relationships between categorical variables.

  • ANOVA: Evaluate differences across multiple groups.

Epidemiological and Sampling Tools

  • Data Sampling Methods: Simple random, systematic random, stratified random, and cluster sampling.

  • Non-Probability Sampling: Convenience, snowball, purposive/judgment, and quota sampling.

  • Morbidity and Mortality Analysis: Analyze healthcare outcomes for quality improvements.



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CPHQ Training Program