The £32,000 grant from NHS Digital will fund a predictive modelling project which will use anonymised data to more fully understand the journeys of people through the health and social care pathway.
As a result, it will enable the council and its partners to better predict future demand for services as well as understand the impact of the care packages which are provided.
Councillor Sandra Samuels OBE, the City of Wolverhampton Council's Cabinet Member for Adult Services, said: "This project will explore how we can improve care and support for people who need health and social care services, which is particularly important at a time when we are experiencing rising demand.
"We will be looking at the anonymised records of people who have used health and social care services in Wolverhampton over the last couple of years to better understand how the activities, services and specialisms they received impacted on their outcomes and their future care needs.
"This will allow us to better plan interventions, optimise our resources and develop more effective and joined-up services for local people."
The City of Wolverhampton Council was one of 18 local authorities to receive a share of £1.4 million to develop digital projects that support social care.
James Palmer, Head of the Social Care Programme at NHS Digital, said: "I am so pleased that we are able to support local authorities to shape the future of social care.
"The work on predictive analytics is significant given its potential to support people at earlier stages which may help to reduce the need for long-term social care.
"Through the use of predictive models that forecast service need and target interventions, we have the chance to help people remain independent, in their own homes, for longer."
- released: Friday 26 October, 2018