Program Roadmap

Markdown

View as Markdown

1. Program at a Glance

Item

Details

Format

Instructor-led training

Duration

8 weeks, 40 hours

Schedule

Weekdays or weekends

Structure

8 modules in 3 learning tracks

Outcome

Prepared to sit the CPHQ exam

2. The Roadmap: Three Learning Tracks

Track

Modules

Purpose

Foundations & Leadership

1. Introduction; 2. Strategic Leadership; 5. People Management

Understand CPHQ and lead people and organisations

Safety, Finance & Improvement

3. Patient Safety & Risk Management; 4. Financial & Utilization Management; 6. Performance Improvement & Information Management

Manage risk, resources and quality improvement

Data & Statistics

7. Information Management Statistics; 8. Data Analysis with SPC Charts

Measure, analyse and monitor healthcare quality

3. Module-by-Module Breakdown

Module 1: Introduction

An overview of the CPHQ certification, why it matters in healthcare, eligibility and the exam content outline.

Lesson plan

  • What is CPHQ and why it is important for healthcare

  • Benefits of CPHQ certification

  • Eligibility requirements

  • Objectives of CPHQ certification

  • CPHQ examination content outline

What you will learn

  • The importance of CPHQ in improving healthcare quality and patient outcomes

  • The certification process and exam structure

  • How to build a structured study plan to pass the exam

  • How to use the certification for career growth

Module 2: Strategic Leadership

The fundamentals of leadership, organisational structures and governance in healthcare.

Lesson plan

  • Leadership concept

  • Leadership vs management

  • Characteristics of a leader

  • Leadership styles and values

  • Organisational structure

  • Governance body – roles and responsibilities

What you will learn

  • Leadership styles and their role in healthcare management

  • Roles of governance bodies, including CEOs and quality councils

  • SWOT analysis and strategic planning models

  • Aligning mission, vision and values with quality improvement goals

Module 3: Patient Safety Management – Risk Management & AHO

Risk management principles and how to integrate them into patient safety.

Lesson plan

  • Defining risk management

  • Risk management process overview

  • Various risks

  • Proactive vs reactive approaches

  • Traditional risk vs enterprise risk

  • Components of risk management

  • Types of errors

What you will learn

  • Identifying and categorising healthcare risks and errors

  • Root Cause Analysis (RCA) and the Swiss Cheese Model

  • Developing risk management plans to improve patient safety

  • Using proactive methods to reduce incidents

Module 4: Financial Management & Utilization Management

Financial concepts for healthcare quality and resource utilisation.

Lesson plan

  • Defining financial management

  • Types of budgets and costs

  • Cost-benefit analysis

  • Return on investment (ROI)

  • Cost-effectiveness analysis

  • Productivity index

  • Cost of quality

What you will learn

  • Budgeting, cost-benefit analysis and ROI

  • Activity-based costing and profit ratio margin

  • Calculating ROI to justify quality improvement investments

  • Utilisation management for discharge planning and care coordination

Module 5: People Management

Motivating and empowering teams, decision-making and managing change.

Lesson plan

  • Leaders as motivators

  • Participative management and its components

  • Empowerment

  • Decision-making

  • Problem-solving

  • Change management

What you will learn

  • Techniques for motivating and empowering teams

  • Decision-making and problem-solving frameworks

  • Change management models such as Kotter's 8-Stage Process

  • Team development stages and conflict resolution

Module 6: Performance Improvement & Information Management

Quality improvement methodologies and using information for decision-making.

Lesson plan

  • Xerox benchmarking

  • PDCA (Plan-Do-Check-Act) / Deming cycle

  • Lean methodology and value stream mapping

  • Six Sigma

  • Information management

  • Knowledge cycle

  • Risk adjustment

What you will learn

  • Applying PDCA, Six Sigma and Lean to healthcare processes

  • Brainstorming, prioritisation and process mapping tools (Fishbone, FMEA)

  • Data-driven decision-making for quality initiatives

Module 7: Information Management Statistics

Statistical tools for measuring healthcare quality.

Lesson plan

  • Understanding ratios, rates and proportions

  • Morbidity, incidence, prevalence and mortality rates

  • Data vs information

  • Case report and case series data analysis

  • Understanding variation

What you will learn

  • Data types and descriptive statistics (mean, median, variance)

  • Data collection and sampling techniques

  • Significance tests such as T-tests and ANOVA

  • Using run charts to monitor trends over time

Module 8: Data Analysis with Statistical Process Control (SPC) Charts

Using Shewhart charts to monitor and improve healthcare processes.

Lesson plan

  • Elements of Shewhart charts

  • Underlying theory of SPC charts

  • Rules for identifying special cause variation

  • Application of SPC charts to measures

What you will learn

  • Selecting the right SPC chart for your data type

  • Identifying special cause variation and ensuring process stability

  • Developing control measures to maintain quality standards

4. Tools You Will Learn

Category

Tools

Quality improvement

Brainstorming, affinity diagram, cause-and-effect (Fishbone), 5 Whys, Pareto analysis, scatter diagram, FMEA, prioritisation matrix

Statistical & data analysis

Shewhart (SPC) charts and rules, run charts, histograms, bar charts, pie charts, scatter plots, Delphi technique

Process improvement

PDCA, PDSA, Six Sigma, Lean & value stream mapping, process flow mapping, deployment chart, activity network diagram

Strategic

SWOT analysis, force field analysis, strategic planning models, storyboards, visual management boards

Statistical testing

T-test, Z-test, Chi-square test, ANOVA

Epidemiological & sampling

Data sampling methods, non-probability sampling, morbidity and mortality analysis

5. Need Help?

Connect with us for requesting a free demo class

Was this article helpful?

Still need help?

Contact us