Data Science and Analytics

Healthcare Data Analytics

Develop your data literacy and build a more data-driven culture

About the course

Today’s healthcare organisations are relentless producers of data that is so vast and so complex that we are already seeing Artificial Intelligence (AI) technologies being developed to perform key healthcare tasks such as diagnosing disease.  However, you don’t need to be a data scientist or a machine learning engineer in order to use data and analytics to improve your team’s or organisation’s performance.  You simply need to be data literate!

Designed to be highly practical and immediately useful, IHLM’s Healthcare Data Analytics course will enable you and your colleagues to develop your data literacy: your ability to read, analyse and communicate with data.

During this course you’ll learn what data analytics is and how to develop an analytics strategy that gives key decision makers access to the insights they need.  You’ll use analytics methods to define and monitor a wide variety of metrics and indicators covering all the aspects of performance that matter to today’s healthcare services.  There will be lots of opportunities to improve your statistics skills, to practice using powerful visualisation tools and to apply them to the particular challenges of improving quality, safety and patient experience.  You will conclude the course by developing a user-friendly dashboard that makes internal reporting faster, more flexible and more accurate.

Delivered via IHLM’s online learning platform and through live interactive Zoom webinars, this course will help you become part of the global healthcare analytics community who are using data to transform performance.

What you’ll learn

On completion of this course you will be able to:

  • read, analyse and communicate with data… and make smarter, more data-informed decisions
  • develop an analytics strategy that specifies how your unit or organisation will use data to help it achieve high-performance
  • use data analytics to measure, understand and improve the quality and safety of care as well as the experience and satisfaction of patients
  • build a performance dashboard based on a ‘Vector of Measures’ appropriate to your healthcare service

How you’ll learn

This course is broken down into eight manageable weekly modules:

  • work at your own speed through a carefully curated collection of self-paced online learning materials that include video lectures, podcasts, interviews and real-world case studies
  • evidence-based research from peer-reviewed publications will help you dig more deeply into topics that really interest you
  • you are not alone – you will interact with other course members, collaborate on learning activities and get direct feedback and coaching from the course leader during weekly Zoom webinars
  • earn professional certification by completing weekly learning activities and mini-projects

This course should take approximately 4 – 6 hours per week.  You can expect to devote about 1 – 2 hours per week to self-paced learning, 1 – 2 hours per week preparing for and participating in the webinar and 1 – 2 hours per week applying your knowledge through learning activities and mini-projects.  Every webinar is recorded so you can rewatch it at any time.

Who should take this course?

Every healthcare leader and manager needs to be data literate: able to read, manage and communicate with data.  This course is therefore designed for anyone working in healthcare today who wants to develop their data literacy and ‘speak the language’ of data.  No prior knowledge of data science or programming is required, though a familiarity with the basic functions of Microsoft Excel will be beneficial.

The course is essential for anyone, whether working in a public or a private healthcare organisation, who is involved in collecting, analysing and communicating quality or performance data.  It will be particularly beneficial for all healthcare quality specialists and for anyone involved in monitoring or managing the performance of a healthcare service.

About the certificates

Upon successful completion of the course you’ll receive an:

  • IHLM Certificate of CPD Completion – This may be useful for course members who belong to professional bodies that have Continuing Professional Development requirements.  The course has an estimated 48 hours of guided learning.
  • IHLM Professional Certificate in Healthcare Data Analytics – This is evidence of the capabilities you’ve developed during the course.  The award of a professional certificate requires completion of learning activities and mini-projects during each module.

How to register

Ready to start?  Just click the ‘Register now’ button at the top of this page or use the ‘Ask us a question’ button if you’d like to talk to one of our course facilitators.  The fee for this course is £795 per person.  If you’d like to pay in instalments you can arrange this by contacting us at:

We provide discounts to organisations registering 3 or more staff in the course and can also provide a customised in-house version tailored to your organisation’s specific needs.

All registrations are subject to our terms and conditions which are available here. By registering for an IHLM course you are accepting these terms and conditions and agreeing to be bound by them.



Module 1: Healthcare Data Literacy

Discover why every healthcare manager needs to be able to read, analyse and communicate with data:

  • the fast-moving world of healthcare data
  • what is data literacy and why does it matter?
  • the four levels of healthcare data analytics
  • how to read and speak the language of data

Module 2: Developing an Analytics Strategy

Decide how data will support your healthcare organisation’s vision and mission:

  • why analytics is fundamental to achieving high-performance
  • the data-informed decision-making framework
  • establishing analytics and Business Intelligence (BI) as a strategic resource
  • how to leverage analytics to transform quality improvement projects

Module 3: Collecting and Storing Healthcare Data

Before we can leverage analytics to transform performance we must review our existing data infrastructure:

  • the characteristics of a high-quality data infrastructure
  • building healthcare data warehouses
  • how to collect, store and ‘scrub’ healthcare data
  • protecting data from unauthorised or unlawful access

Module 4: Using Analytics in Quality Improvement

Quality improvement specialists must use analytics to understand the impact of a change:

  • using data for improvement: defining effective measures, metrics and indicators
  • sampling, stratification and case-mix adjustment
  • basic statistical methods and control chart principles
  • understanding variation using run charts

Module 5: Using Analytics to Understand Variation

Data analytics can be used to understand, manage and eliminate unwanted variations in outcomes:

  • using Shewhart charts to learn from variations in data
  • selecting the right type of Shewhart chart
  • calculating Shewhart limits for different types of data
  • additional visualisation tools: frequency plots, Pareto plots and scatterplots

Module 6: Using Analytics to Improve Patient Safety

Data analytics has a critically important role to play in understanding and improving patient safety:

  • using analytics to identify and act on emerging patient safety issues
  • learning from individual patient data
  • using analytics to understand mortality and readmission
  • the AHRQ safety survey methodology

Module 7: Using Analytics to Improve Patient Experience

Learn how to use data analytics to generate actionable insights into patient experience and satisfaction:

  • using patient feedback and satisfaction surveys to improve experience
  • special issues and difficulties with patient feedback data
  • Press Ganey, HCAHPS and other popular survey methods
  • visualising and presenting patient experience data

Module 8: Building a Performance Dashboard

Maximise the value, impact and effectiveness of data analytics by building a performance dashboard:

  • developing a ‘Vector of Measures’ for your unit or organisation
  • dashboard examples from primary care, EDs, hospitals and health systems
  • drilling down into aggregate data for improvement
  • machine learning, AI and predictive analytics


Course Leader

Benedict Stanberry

Course Factfile

  • Next session: 15 June 2023
  • Duration: 8 weeks
  • Commitment: 4-6 hours a week
  • Qualification: Certificate
  • Cost: £795
  • Location: Online

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