In conjunction with our long term collaborators Johns Hopkins Healthcare, we have devised seven ‘quick wins’ for the delivery of population health analytics that supports Population Health Management strategies.
#1 Match the right patients to the right care programmes
Rationale
- Lots of care programmes (e.g. Frailty) may already funded
- We need to ensure that these programmes are seeing the right type of people to ensure efficiency and effectiveness
- We need to make sure we understand the benefits and return on investment (RoI) of these funded programmes
A starting point could be ensuring that the right people are being treated by care programmes that are already funded and commissioned.
This requires:
A list of programmes.
Knowing who is currently enrolled
Purpose of programmes and admission and discharge criteria
Translation of these criteria into a search criteria that can be applied to the data. In parallel can start to undertake Population Health Analytics to further inform care strategy in LLR
Intervention
- Create a list of existing care programmes and list the criteria for admission and discharge.
- Translate admission criteria to a case finding searches.
Benefit
- Identify suitable people for the programme and compare these lists of those individuals who are currently enrolled. We can then begin to evaluate whether the right people are enrolled.
- Increased efficiency and effectiveness of care programmes that are already funded.
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[1] https://en.wikipedia.org/wiki/A_journey_of_a_thousand_miles_begins_with_a_single_step
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