People profiles
Snemalna Knjiga Besedilo
- Epilepsy
- Mental illness
- Dementia
- Asthma
- Hypertensive
- Heart disease
- Health
- Social care
- People receiving care all have different health and social care needs.
- Although their needs are varied, health services and local authorities need to be able to develop sustainable solutions for all.
- These solutions need to include an integrated approach between health and social care services.
- Due to the lack of joined-up health and social care datasets and systems, health services and local authorities have limited insight into the populations they are serving and how health and social care needs interrelate.
- PIPP
- This results in decisions being made in isolation, or needing special efforts to get collaboration across organisations. This can be slow and cumbersome.
- In today’s world, data is the essential ingredient to integrating siloed systems and making optimal decisions.
- PIPP (Promoting Independence through Prediction and Prevention) is a public-private partnership between the City of Wolverhampton Council, the Midlands and Lancashire Commissioning Support Unit (MLCSU) and data analytics provider PredictX.
- Promoting Independence through prediction and prevention
- Together their mission is to use data science methodologies and AI to provide improved data-driven insight to support health and social care providers.
- One of their latest solutions includes PIPP Care and Health Population Intelligence
- PIPPCare and Health Population Intelligence
- Healthier individuals with no LTCs
- Mental illness and epilepsy
- Multiple LTCs but reduced touchpoints
- Dementia sufferers
- Coping hypertensive patients
- Heart, lungs and kidney disease
- Well-off hypertensive and cancer sufferers
- Talking head of someone at PredictX and then someone from the MLCSU who will give an overview of the product describing the type of data and the dashboards we use.
- Using these insights, PIPP Care and Health Population Health Intelligence uses machine learning models to cluster patients into unique ‘groups’ or ‘profiles.’ These groups each require different insights to be drawn.
- PIPPCare and Health Population Intelligence
- Talking head with someone from Wolverhampton discussing how grouping people lead to improved service delivery and better outcomes in their populations.
- Contact details
- Health and social care services are thus optimised to provide the best care for each person - improving people's outcomes within the population.
- If you would like to learn more about PIPP and its initiatives to use data science methodologies to improve health and social care outcomes, contact us today.
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