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Use cases

How do I?

Model how many individuals we could prevent from moving into higher settings if a specific/relevant intervention was put into place? i.e. how many might benefit from extra care etc..

  • In the Whatif scenario planning tool, choose a cohort for whom the intervention would be applied.

  • Estimate the impact that the intervention is likely to have on

    • the number of new users

    • likelihood of requiring dom care or

    • the likelihood of requiring residential care

  • Amend the transition rates in the Whatif model

  • Run the model

  • The model out put will show the primary measures for the two scenarios - with and without the intervention in place

Assess whether certain interventions lead to cost avoidance

  • See above.

Assess the value of Kingfisher

  • First you would need to identify the service users for which you think Kingfisher would potentially be beneficial. Then create a cohort of these users in the cohort creator. So this might be a groups of users with specific attributes that can be specified in the cohort creator - e.g. people of a certain age with a specific care type [e.g. dom care] or a specific group of service users chosen by WCCIS ID
  • Then you would need to estimate the impact the intervention is likely to have on
    • the number of new users
    • likelihood of requiring dom care or
    • the likelihood of requiring residential care
  • Amend the transition rates in the Whatif model
  • Run the model
  • The model out put will show the primary measures for the two scenarios - with and without the intervention in place

Find out how many people get direct payments... by condition or disability complexity of need – is it a more creative efficient way of people getting the care they need

  • Create a cohort of users who get Direct Payments in the Cohort Creator by choosing Care Type - Direct Payments
  • The Demand Profile for this Cohort will provide a number of metrics about this cohort including the number of service users.
  • If you want to do analysis by primary support reason you would need to create a separate cohort for each need.

Identify when care requirements are creeping upwards? AND Get list of service users who's dom care packages have increased in the last period

  • Create a cohort of users who have had an increase in care need - you can specify whether this is an increase in cost, or amount of dom care provision, and over what timescales
  • The Demand Profile for this Cohort will provide a number of metrics about this cohort including a clickable list of service users.

See how many people are in each "ring" in each patch

  • Create a cohort of users for each Patch
  • The Demand Profile for this Cohort will provide a number of metrics about this cohort including the number of Service users in each Ring.

Find out what is the average cost of each ring?

  • In Demand Profile select the "All users" Cohort
  • The Demand Profile for this Cohort will provide a number of metrics about this cohort including the average cost of each Ring.

See users broken down by patch at the touch of a button

  • Create a cohort of users for each Patch
  • The Demand Profile for this Cohort will provide a number of metrics about this cohort including the number of Service users and cost information.

Identify if certain characteristics are present in high cost packages, providers, Care Managers, Demographics?

  • Create a cohort of users who have high cost packages - you can define cohorts based on their weekly cost and other parameters
  • The Demand Profile for this Cohort will provide a number of metrics about this cohort including a clickable list of service users.

Identify what can be done to reduce the probability of care provider failure?

  • See Provider Analysis

Aggregate risk factors etc for individual service users to cohort level for service planning

  • See Forecast

See all day care users on a map to help plan transport provision and tackle loneliness

  • See Provider Analysis

See a map of users and agencies, also stats on agencies – how many hours etc, where their users are

  • See Provider Analysis
  • See Provider Analysis

See where should we be locating our staff for maximum efficiency and good customer care

  • Create a cohort of the service users relevant to the staff
  • In Cohort Analysis view a map of services user