Population Health Management: Understanding risk prediction and stratification for your local population (PHM-7)

Date: 18th October 2022, 13pm 

Population Health Management: Understanding risk prediction and stratification for your local population
PHM-7

18th October 2022, 13pm 

In this virtual session, population health management experts Andi Orlowski, David Sgorbati and Sophie Hodges of the Health Economics Unit will lead attendees through a two-hour interactive session. 

This session is designed to give valuable insights for employees across the ICS, whether you’re analytical or not. There will be practical, interactive and useful examples of systems working together, and plenty of opportunity for discussion and questions. 

Learning Outcomes

Attendees will leave with: 

  • An understanding of what risk stratification is 
  • The ability to interpret risk stratification analysis 
  • The ability to evaluate risk stratification analysis 

Prerequisites

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

You may wish to attend

Look out for our other population health management training sessions in the coming weeks. Analysts may also wish to attend the next session, PHM-8 – Doing Risk Prediction and Stratification for Your Local Population (26th October 2022, 35pm). 

Agenda

  • What is risk stratification? 
  • Why is it useful?  
  • What is the difference between segmentation and risk stratification?  
  • Methods of risk stratification 
  • How are these techniques used in practice? 
  • Group exercise and discussion 
Andi Orlowski

Andi Orlowski. Andi is a health economist with particular interest in population health analytics, especially addressing health inequalities and the concept of impactibility modelling. He is researching this for his PhD at Imperial College London. He is also a senior advisor for NHS England on population health management in the Operations and Information Directorate and works with STPs and ICSs across the country.

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.

Sophie Hodges

Sophie Hodges. Sophie has a background in population health management and is passionate about providing better evidence to improve decisionmaking in healthcare. She has a first-class degree in economics with econometrics (BSc) from the University of Kent and will soon complete a masters in health data analytics (MSc) from UCL. Sophie also has experience in building communities of practice supporting analytical upskilling and developing system intelligence functions.

Reading Materials

Pre-requisites

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

You may wish to attend

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: 18th October 2022, 13pm 

Registration: Please use the online link below

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