Population Health Management: Introduction to R for PHM (PHM-3)

Date: 20th September 2022, 2.00 – 4.00pm

Population Health Management: Introduction to R for PHM
PHM-3

20th September 2022, 2–4pm

In this online training session, population health management experts David Sgorbati, Santosh Kumar and Joe Lillington of the Health Economics Unit will teach the fundamentals of R, including some functions commonly used in population health management.

This will be a practical, interactive session for analysts who want to start coding to develop population-level insights, and will focus on the basics of the language.

Learning Outcomes

This session is designed to give valuable insights for analysts in R – one of the most common programming languages used by the NHS.

Attendees will leave with:

  • An understanding of how to write and run R code
  • Knowledge of data structures, graphing and functions, commonly used in population health management

Prerequisites

It is recommended that attendees have a basic understanding of population health management to attend this session; they may wish to attend PHM-1 – Population Health Management: Introduction to PHM (6th September 2022, 10–12pm).

Look out for our other population health management training sessions in the coming weeks. We recommend that analysts attend the next session, PHM-4 – Introduction to Statistics for PHM (27th September 2022, 1–3pm).

Agenda

  • How can we write and run R code?
  • What basic functions are most useful?
  • Which data structures and tools are more likely to be relevant to population health management?
David Sgobati

David Sgobati is an experienced computer scientist who has worked for several national, regional, ICS and provider teams in the NHS, contributing to the deployment of machine learning techniques to improve patient care.

In the first 10 years of his career, David worked for several machine learning, artificial intelligence and robotics start-ups, developing software for clients in a wide range of industries, including manufacturing, logistics, and marketing. Since joining the NHS in 2014, his focus has been on using advanced analytics techniques to support problem-solving across organisational boundaries; he is passionate about the use of data as a tool to foster better conversations and to generate actionable insights.

Joe Lillington

Joe Lillington. Joseph has broad experience across data science, physics, and engineering, having previously gained degrees from Edinburgh, Imperial, and Cambridge. He gained his PhD thesis in machine learning and computational modelling at the University of Cambridge, before joining the Health Economics Unit.

Joseph enjoys supporting the NHS by applying the skills that he has gained in his research training. He is passionate about applying his data science knowledge within healthcare systems to improve patient outcomes. He also strongly believes in the value of using machine learning to support population health.

Joseph is always keen to collaborate on projects and learn about the interesting work of others.

Santosh Kumar

Santosh Kumar. Santosh is a dedicated machine learning researcher. He is experienced in applying advanced machine learning techniques and natural language processing to solve real-world data-driven problems.

Passionate about improving healthcare systems through the application of machine learning explainability, privacy-preserving machine learning algorithms, and Artificial Intelligence (AI), Santosh has used these techniques to outstanding effect in a variety of cases. This includes:

  • Extracting information from MRI/CT images for early breast cancer prediction
  • Developing unemployment prediction tools by analysing extensive volumes of public sector data

Santosh is always keen to collaborate and is happiest when he is able to apply and extend his expertise in machine learning to provide the greatest benefits to the population.

Pre-requisites

It is recommended that attendees have a basic understanding of population health management to attend this session.

Audience
This course is free and available to all those working in the Midlands Public Health and Social Care sector , e.g. NHS, Public Health, Local Authority, ICBs

Duration
2 hours

Location
Online – delivered via Teams

Date: 20th September 2022, 2.00-4.00pm

Registration now closed

Please see further Population Health Management sessions from the Health Economics Unit – available to book now!

For more information about this course, please contact:

Training & Development Operational Lead, Rachel Caswell