Session information
- Title:
- A Practical Introduction to Population Segmentation
- Description:
-
This session introduces the concept of population segmentation before outlining the step by step process for undertaking it.
The session will outline the reasons for segmenting and the data preparation required, before moving on to the key statistical methods. The content will cover some fundamental dos and don’ts when carrying out this type of analysis, in addition to signposting to relevant resources. Practical examples where the approach has been used effectively will be highlighted. - Hierarchy:
- Population Health Management (PHM) > Population Segmentation > A Practical Introduction to Population Segmentation
- Created:
- 7 Jul 2020
- Last Major Update:
- 8 Jul 2020
- Keywords:
- Population segmentation, Population Health, Population Health Management, Data, Clusters, Algorithms, Variation, Cluster Analysis, Modelling
- Quicklink:
- 550-0003
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Overall rating
4.1/5
4.1/5
Content
4.3/5
4.3/5
Presentation
4.2/5
4.2/5
Interactivity
4.3/5
4.3/5
Self assessments
4/5
4/5
Overall rating
4.1/5
4.1/5
Content
4.3/5
4.3/5
Presentation
4.2/5
4.2/5
Interactivity
4.3/5
4.3/5
Self assessments
4/5
4/5
- Title:
- A Practical Introduction to Population Segmentation
- Description:
-
This session introduces the concept of population segmentation before outlining the step by step process for undertaking it.
The session will outline the reasons for segmenting and the data preparation required, before moving on to the key statistical methods. The content will cover some fundamental dos and don’ts when carrying out this type of analysis, in addition to signposting to relevant resources. Practical examples where the approach has been used effectively will be highlighted. - Hierarchy:
- Population Health Management (PHM) > Population Segmentation > A Practical Introduction to Population Segmentation
- Created:
- 7 Jul 2020
- Last Major Update:
- 8 Jul 2020
- Keywords:
- Population segmentation, Population Health, Population Health Management, Data, Clusters, Algorithms, Variation, Cluster Analysis, Modelling
- Quicklink:
- 550-0003