Decision support for care workers about their next best actions

Problem to be solved

Given their place of work in multiple clients’ homes, domiciliary care workers have traditionally operated individually and autonomously. Whilst this means a highly personalised service, care organisations need to be sure that they are also offering a consistent service. This is particularly important when:

• more than one care worker is responsible for a given individual
• multiple handovers of care may take place 
• clients may not be able to communicate their needs themselves

How can the transitions and continuity of care between visits be made as seamless as possible?

The project

Cera Care is a CQC registered technology-enabled home care company, providing approximately 10,000 care visits per day to clients across 50 local authorities in England. The company’s AI-powered Dynamic Tasks tool suggests the next best actions for a care worker during their client visit, based on analysis of the previously submitted visit report together with the client’s recent health and care history.

The recommendation - displayed on an app connected to Cera Care’s digital care platform - may be a basic action like checking medication taken or examining a bandage, or may be more complex such as contacting the client’s GP if a specific concern is raised.

The Dynamic Tasks tool equips care workers with robust and personalised decision support that draws on data from across thousands of client visits. To quote one of Cera Care’s staff members:

It follows from this comment that the tool enables both Cera Care’s clients and Cera Care as an organisation to hold their care workers to higher levels of accountability.

To find out more about this project, contact Mahiben Maruthappu on email: info@ceracare.co.uk