Data Science and Analytics
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.
On completion of this course you will be able to:
This course is broken down into eight manageable weekly modules:
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.
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.
Upon successful completion of the course you’ll receive an:
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: registration@ihlm.org.
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.
Discover why every healthcare manager needs to be able to read, analyse and communicate with data:
Decide how data will support your healthcare organisation’s vision and mission:
Before we can leverage analytics to transform performance we must review our existing data infrastructure:
Quality improvement specialists must use analytics to understand the impact of a change:
Data analytics can be used to understand, manage and eliminate unwanted variations in outcomes:
Data analytics has a critically important role to play in understanding and improving patient safety:
Learn how to use data analytics to generate actionable insights into patient experience and satisfaction:
Maximise the value, impact and effectiveness of data analytics by building a performance dashboard:
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