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Quality and Productivity in Health Service Systems

Introduction

This module focuses on current issues and challenges facing healthcare quality & productivity. It will familiarize students with the urgent need to apply approaches from diverse disciplines for patient safety, patient experience and effectiveness, and productivity improvement in health service from a systems perspective. Students will learn to apply systematic approaches in the analysis of data & information for accurately modelling patient care journeys for service redesign, system capability & quality. Module will examine current techniques used for quality & productivity improvement in healthcare such as lean, Six Sigma, Theory of Constraint, loss functions, etc. Service improvement strategies will also be examined in the context of regulatory, patient safety and economic factors that are unique to healthcare and what information is necessary for sustained improvement.

Objectives

Upon successful completion participants will be able to:

  • Critically examine tools and approaches used by health care organizations to assess quality risks and failure events
  • Synthesize critically the evidence involving issues of efficiency, effectiveness and return on investment in the context of health services
  • Understand ways to engage patients and other stakeholders in quality and productivity improvement and the impact of such engagement on service system performance
  • Systematically analyze health care data and information, interpret results and meaningfully draw conclusions
  • Conduct critical assessments of methodologies of quality and productivity improvement studies in healthcare
  • Critically evaluate the role of qualities and standards monitoring agencies in healthcare

Syllabus

  • Theories and concepts involving quality and productivity in healthcare including CQI, TQM,
    lean, six sigma, etc.
  • Metrics and measures of healthcare quality and productivity.
  • Techniques used to model health care processes for service redesign and improvement.
  • Use of statistical tools and analysis of health care data to generate improvement
    opportunities (e.g., distribution, probability, univariate and bivariate data, comparisons,
    generalized linear models).
  • Incentivizing health care processes for quality and productivity improvement.
  • Factors necessary for sustained quality and productivity management.

Assessment

Single post module assignment comprised of two parts:
-Part-1 around 3000 words (65%)
-Part-2 around 1000 words (35%)

Duration

1 week (25 hours of lectures, 15 hours of seminars)

This is a course module on MSc Healthcare Operational Management.

Please note: the details of this module are correct for the current year of study and may be subject to change for future years.