AI in adult social care

Joined-up demand analysis for health and care

8 October 2020: In 2016 City of Wolverhampton Council began working with PredictX, Midlands and Lancashire Commissioning Support Unit (CSU) and Wolverhampton Clinical Commissioning Group (CCG). Combining pseudonymised NHS Secondary Uses Service (SUS) data with Adult Social Care data from assessments and service packages, the initial project built a series of dashboards for use across the system.

Predictive analytics triggering workflows to support carers, prevent falls and reduce loneliness

7 October 2020: The project built on a predictive analytics proof of concept between 2018 and 2019 supported with funding from an NHS Digital Social Care Pathfinders Programme grant which showed it was possible to safely and securely share combined health and social information about older people aged 65 and over between partner organisations by feeding data into and accessing a single data warehouse. With technical input from Canon Medical Systems, AI techniques were used to spot health care gaps for example patients with severe COPD not under a community specialist nurse and predict the risk for individuals of admission to hospital or a care home.

Analytics and decision support to improve workforce retention

7 October 2020: All adult social care providers are invited to contribute to adult social care workforce data set (ASC-WDS). By analysing this data, Skills for Care has been able to highlight a range of factors influencing workforce retention.

Decision support for care workers about their next best actions

8 October 2020: 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 suggested 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.

Matching demand for social support with supply through geospatial mapping and a digital marketplace

8 October 2020: The Tribe Project (Tribe) reviewed geographical inequality of social support and care. Tribe offered two solutions. A mapping of care “dark patches” within a region, which identifies the types of unmet need and the skills required within communities to address these needs and a digital marketplace for social needs and support

Remote intelligent monitoring and predictive analytics to support people in their optimal care setting

7 October 2020: The London Borough of Bexley wanted to explore how to promote individuals’ independence and person-centred approaches to their care. In partnership with Docobo, the Council piloted implementation of Docobo’s DOC@HOME technology in one of the borough’s care homes

Acoustic monitoring integrated with electronic care planning

7 October 2020: With support from an NHS Digital Pathfinder grant, Friends of the Elderly worked with with Allycare and KareInn to link acoustic monitoring with electronic care planning in its care homes, and develop a new way of working at night which relies on safely responding to alerts rather than going into residents’ rooms and disturbing their sleep.

Predictive analytics to assess risk and trigger care interventions

8 October 2020: Cera Care is a CQC registered technology-enabled home care company, providing approximately 10,000 care visits per day to individuals across 50 local authorities in England. The company’s AI-powered Concern Predictor tool analyses data collected from care workers’ visit reports to produce a stratified risk assessment of individuals across a region, predicting the likelihood of falls and hospital admission.

Intelligent monitoring for proactive care

8 October 2020: Working with the care agency Medacs Healthcare, Birdie has piloted this project using motion sensors in the homes of care recipients across Cheshire and Bristol.

Remote monitoring of vital signs

8 October 2020: In response to COVID-19, Hampshire Hospitals NHS Foundation Trust (HHFT) set up a telemedicine service, supported by Wessex Academic Health Science Network. This included piloting the project in three care facilities a nursing home, care home and step-down facility.

Remote monitoring for early detection of respiratory conditions

8 October 2020: Feebris worked in partnership with Care City an innovation centre for healthy ageing and regeneration and Havering Health a collaboration of local GP practices to introduce its remote monitoring technology into care homes and GP practices across East London. Between February and July 2020, the technology supported almost 1000 residents.

Assessing pain in people with dementia who cannot self-report

8 October 2020: PainChek is a CE-marked pain assessment tool powered by AI available as a point-of-care app on personal mobile devices. It takes a 3-second video of a person’s face and applies AI to identify facial micro-expressions indicative of pain. This information is then automatically combined with other non-facial indicators of pain recorded by a carer on a digital checklist to generate an overall pain score:

User-centred service design via free text analytics

8 October 2020: With funding awarded through an NHS Digital Social Care Pathfinders Programme grant and working together with NEL Commissioning Support Unit, the council put together an application to the Confidential Advisory Group (CAG) to be able to process free text data and link to GP and hospital data.