Population Health Management and Analytics

11 modules available

Population Health Management (PHM) and Analytics

This training programme is made up from 11 different modules which cover a range of PHM topics.  Some modules are for analysts and some are for anyone who is interested in a particular topic. Each online session is 2 hours long.

The course starts with an introductory session which is suitable for anyone and aims to make sure everyone understands what Population Health Management (PHM) is all about.  The 10 further modules provide in-depth knowledge into a range of topics related to PHM.

The programme is designed to be flexible to meet the participants’ needs: each participant can select which modules to do, depending on their experience and interest.

Aim: To support Population Health Management capability

 

PHM Modules and registration links

PHM 1 - Introduction to Population Health Management

Date: 06/09/2022        10:00 am – 12:00

Topics covered

  • What do we mean by PHM?
  • Why is PHM important?
  • How is it different?
  • What is the PHM cycle?
  • What are the key methods and tools used in PHM

Prerequisites: None

PHM 2 - How systems work together

Date: Postponed Date TBC

Topics covered

  • The determinants of health?
  • Overmedicalisation and the prevention of PHM
  • How do organisations work well across a system
  • The challenges of system working and examples of improving the wider determinants of health

Prerequisites: None

Register for this module here

PHM 3 - Introduction to R for Population Health Management

Date: 20/09/2022        14:00 – 16:00

Topics Covered

  • How can we use R to support our work?
  • What basic functions are most useful?
  • Which data structures and tools are more likely to be relevant to PHM?

Prerequisites: Numeracy

Register for this module here

PHM 4 - Introduction to statistics for PHM

Date: 27/09/2022        13:00 – 15:00

Topics Covered

  • Why is statistics important in PHM?
  • What key metrics are often used?
  • How can we use R to plot helpful information
  • When can we use statistical testing, and how can we build models in R?

Prerequisites: PHM.3

Register for this module here

PHM 5 - Understanding population segmentation for your local population (Overview)

Date: 4/10/2022        13:00 – 15:00

Topics Covered

  • What is it?
  • Why is it important?
  • What are the models that are being used
  • Interactive segmentation exercise

Prerequisites: PHM.1

Register for this module here

PHM 6 - Doing population segmentation for your local population (Technical)

Date: 12/10/2022        13:00 – 15:00

Topics Covered

  • Most frequently used algorithm – Classification And Regression Trees

Prerequisites: PHM.3, PHM.4, PHM.5

Register for this module here

PHM 7 - Understanding risk prediction and stratification for your local population (Overview)

Date: 18/10/2022        13:00 – 15:00

Topics Covered

  • What is segmentation and why is it useful?
  • What is risk stratification and why is it useful?
  • What is the difference between segmentation and stratification?
  • How are these techniques used in practice?

Prerequisites: PHM.1, PHM.5

Register for this module here

PHM 8 - Doing risk prediction and stratification for your local population (Technical)

Date: 26/10/2022        15:00 – 17:00

Topics Covered

  • What are the most common algorithms for segmentation and risk stratification?
  • Which approaches are best for different applications?
  • How should we approach our datasets?
  • How can we evaluate our models?

Prerequisites: PHM.3, PHM.4, PHM.5, PHM.6, PHM.7

Register for this module here

PHM 9 - Understanding impactibility for your local population (Overview)

Date: 01/11/2022        13:00 – 15:00

Topics Covered

  • How can we identify the groups in the population who would most benefit from specific interventions?
  • What frameworks are available to maximise our use of resources based on our knowledge of the population?

Prerequisites: PHM.1, PHM.5, PHM.7

Register for this module here

PHM 10 - Doing causal inference for impactibility assessments for your local population (Technical)

Date: 08/11/2022        15:00 – 17:00

Topics Covered

  • What is causal inference?
  • What is the difference between association and causation?
  • When and how can we estimate causal effect?

Prerequisites: PHM.3, PHM.4, PHM.5, PHM.6, PHM.7, PHM.8, PHM.9

Register for this module here

PHM 11 - Closing the PHM cycle: An introduction to Evaluation

Date: 15/11/2022        13:00 – 15:00

Topics Covered

  • Learning Health Systems – an introduction to evaluating PHM interventions and learning from them

Prerequisites: PHM.1, PHM.5, PHM.7, PHM.9

Register for this module here

Audience

This course is for technical and non-technical audiences, depending on the sessions attended.

The curriculum is designed to give full flexibility to meet the participants’ needs: it is up to each participant to undertake the modules of their choice, depending on their existing level, experience and interest

Analytical audiences would be encouraged to attending 1, 3-11 (with the option of 2) sessions and a non-technical audience would be encouraged to attend sessions 1,2,5,7,9 and 11

Module No.

Session title

Audience

1

Introduction to PHM

Anyone

2

How systems work together

Anyone

3

Introduction to R for PHM

Analysts

4

Introduction to statistics for PHM

Analysts

5

Understanding population segmentation for your local population (Overview)

Anyone

6

Doing population segmentation for your local population (Technical)

Analysts

7

Understanding risk prediction and stratification for your local population (Overview)

Anyone

8

Doing risk prediction and stratification for your local population (Technical)

Analysts

9

Understanding impactibility for your local population (Overview)

Anyone

10

Doing causal inference for impactibility assessments for your local population (Technical)

Analysts

11

Closing the PHM cycle: An introduction to Evaluation

Anyone

 

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

Pre-requisites

Modules do not require prior knowledge of Population Health Management and analytical sessions require a numerical background only.

Duration

Each Module will be 1.5-2 hour

Location

Online – delivered via Teams The majority of talks will be spaced with interactive discussions and practicals.

Dates:

  • PHM.1 – Introduction to PHM
    06/09/2022        10:00 am till 12:00 – Completed
  • PHM.2 – How systems work together
    Postponed – Date TBC
  • PHM.3 – Introduction to R for PHM
    20/09/2022        14:00 – 16:00
  • PHM.4 – Introduction to Statistics for PHM
    27/09/2022        13:00 – 15:00
  • PHM.5  – Understanding population segmentation for your local population (Overview)
    04/10/2022        13:00 – 15:00
  • PHM.6 – Doing population segmentation for your local population (Technical)
    12/10/2022        13:00 – 15:00
  • PHM.7 – Understanding risk prediction and stratification for your local population (Overview)
    18/10/2022        13:00 – 15:00
  • PHM.8 – Doing risk prediction and stratification for your local population (Technical)
    26/10/2022        15:00 – 17:00
  • PHM.9 – Understanding impactibility for your local population (Overview)
    01/11/2022        13:00 – 15:00
  • PHM.10 – Doing causal inference for impactibility assessments for your local population (Technical)
    08/11/2022        15:00 – 17:00
  • PHM.11 – Closing the PHM cycle: An introduction to Evaluation
    15/11/2022        13:00 – 15:00

Registration

Please register for individual modules using the online links below.
It is up to each participant to undertake the modules of their choice, depending on their existing level and experience.

For more information about this course, please contact:

Training & Development Operational Lead, Rachel Caswell