Liquidlogic is launching an important new element to their market-leading Adults’ Social Care Solution. This uses proven and existing technology to read data from across a range of systems and identify people at risk of crisis or going into long-term residential care. These cases are then flagged in the Liquidlogic Adults’ System workflow for early assessment and intervention.
How could it be used?
The solution is configurable but, for example, could identify individuals where the last assessment date was more than 6 months ago and where there had been 3 or more emergency GP or hospital visits in a 6-month period. Alternatively, where people have a history of falls, and/or with no carer, individual interventions could then be made to avoid deterioration that could result in hospital admission
or residential care.
The solution allows for a range of complex calculations to be processed across a wide-ranging set of data (including Local Health and Care Record (LHCRE) data from shared care systems) to establish an individual risk rating. This can be configured locally and allows local authorities to focus resources in areas that have been identified as a high priority.
Kent County Council
The technology which underpins this has been effectively trialed in an adjacent sector – multi-agency risk stratification in children’s social care, in support of the Troubled Families Programme. Kent County Council has successfully used this technology to import data from over 11 different sources and trigger early help workflows in the Liquidlogic Children’s system. As a result, Kent has been awarded self-assessment status by the Ministry of Housing, Communities and Local Government
Katherine Atkinson, Assistant Director - Management Information & Intelligence at Kent County Council comments:
"Having embedded the priorities of the Troubled Families (TF) programme within our Early Help service, we were keen to embed its recording and monitoring within the Liquidlogic Early Help Module (EHM), in order that our systems could fully support practice as well as meeting our statutory requirements with the MHCLG. Using the Troubled Families module we regularly import 11 datasets from a range of sources, and the system automatically matches this data to people and families and displays key information against different Troubled Families (TF) priorities within our intensive early help pathway in EHM. We then use algorithms in the software to identify case progression towards successful outcomes for the TF priorities, which vary from case to case, and these pull through to show tasks for workers in the Early Help Module.
The fact that we can configure these algorithms is really helpful as it enables us to tweak them if we review our Troubled Families Outcomes Plan (TFOP) without having to go back to the supplier. Similarly, the functionality for importing data is straightforward. What is particularly useful is that the data import, matching, and case management are all part of the same system, meaning that this is not a separate data matching exercise but a live, embedded, part of our case management system. Having this complete solution has been integral to our high performance on the Troubled Families programme, and our ability to monitor and evidence outcomes supported us in successfully gaining Earned Autonomy status from the MHCLG - one of only 14 local authorities to achieve this.
As we move forwards we are keen to explore how we could use the module for a wider range of partnership working towards shared outcomes."
How could it be used?
Examples of interventions could include reablement or homecare packages and need not require Council funding. They could involve community resources and social prescribing or could be focused on care navigation to encourage self-funders to access the support that will be appropriate to them and in doing so avoid costly crisis interventions at a later stage. Candidates for Technology Enabled Care in the home could also be identified and encouraged. Modern home hubs can link to a range of devices such as sensor pads and the ‘internet of things’ such as home appliances, enabling rules to be set so that alerts can be triggered if a person deviates from their normal routine. These dashboards and alerts can be accessed by family members and in doing so, the authority can act as an enabler for families to care more effectively for their loved ones.
David Grigsby, Managing Director at Liquidlogic comments:
"Our discussions with Directors of Adults’ Social Care confirmed that Local Authorities are keen to expand programmes for early intervention, both to meet their responsibilities under the Care Act and because it makes complete sense for vulnerable people and the local authority’s finances.
Targeted early intervention saves money for both the local authority and the NHS by reducing hospital admissions and delaying the point at which people need expensive residential care. One of the challenges with it has been identifying who these interventions should be focused on. Our solution enables local authorities to set their own rules for this, and locates the data analysis and identification in the very same case management system in which these people will be dealt with; joining identification, workflow, and case management together."