Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

“Trying to Find People to Fit the Tech…”

A Qualitative Exploration of the Lessons Learnt Introducing Artificial Intelligence-Based Technology into English Social Care

Bibliographic Data

ID18075335
AuthorsIan Litchfield (0000-0002-1169-5392, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK, corresponding author), Jon Glasby (0000-0003-3960-7988, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK), Sarah Parkinson (0000-0002-2858-1842, RAND Europe, Westbrook Centre, Milton Road, Cambridge CB4 1YG, UK), Lucy Hocking (0000-0002-8319-962X, RAND Europe, Westbrook Centre, Milton Road, Cambridge CB4 1YG, UK), Denise Tanner (0000-0002-6944-7367, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK), Brenda Roe (0000-0002-2625-9315, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK), Jennifer Bousfield (0000-0002-5671-2336, RAND Europe, Westbrook Centre, Milton Road, Cambridge CB4 1YG, UK)
EditorsGianpiero Greco (0000-0002-5023-3721)
Year2023
Volume2023
Pages1-11
Publication date2023-05-16
Open AccessYes
TypeARTICLE
VenueHealth & Social Care in the Community (JOURNAL)
Journal identifiersISSN: 0966-0410 • E-ISSN: 1365-2524
PublisherWiley (PUBLISHER • GB)
DOI10.1155/2023/9174873
OpenAlexW4376637141
LanguageEN
Citations received1
References cited42

Digital technology is expected to improve care and address significant service pressures within the National Health Service and social care though evidence on how their implementation might be optimised is lacking. This study explores how one such example, home-based sensors with artificial intelligence capabilities, was implemented in English social care to identify changes in behaviour that indicate the onset of potentially more serious issues. Its focus was staff perspectives on decision-making processes and implementation, to inform recommendations for others exploring the potential of new and emerging technology. Qualitative data were collected from 18 semistructured interviews conducted across three sites delivering social care, with senior decision makers, operational leads, and care staff. We identified several issues with the selection process and implementation of AI-based technology in social care, including a lack of consensus around what success would look like, problems identifying and evaluating alternatives, and technical challenges to implementation, as well as obstacles to developing a longer-term, more preventative approach in a system experienced as focused on responding to acute needs. Ultimately, the research confirmed a number of recognised implementation challenges associated with training, resource, and acceptability to staff and patients. It added particular insights around the anxieties experienced by frontline staff and the cultural shift required of preventative interventions in a system geared to meeting acute crises. That many barriers are familiar suggests a particular need to focus on helping policymakers/local leaders avoid similar pitfalls in the future

Business · Focus group · Health care · Knowledge management · Political science · Process (computing) · Psychological intervention · Public relations · Qualitative research · Resource (disambiguation) · Service (business) · Sociology · Computer Science · Geriatric Care and Nursing Homes · Health disparities and outcomes · Marketing · Medicine · Nursing · Psychology · Telemedicine and Telehealth Implementation

  • Prediction and Feature Analysis of Intracranial Aneurysms in Community Residents

    Open Access•Xinwei Wang, Sutong Wang et al.•Health & Social Care in the…•2025

  • Older adults talk technology

    Open Access•Tracy L Mitzner, Julie Blaskewicz Boron et al.•Computers in Human Behavior•2010

  • Beyond Adoption

    Open Access•Trisha Greenhalgh, Joseph Wherton et al.•Journal of Medical Internet…•2017

  • The qualitative content analysis process

    Open Access•Satu Elo, Helvi Kyngäs•Journal of Advanced Nursing•2008

  • The ethics of AI in health care

    Open Access•Jessica Morley, Caio C Vieira Machado et al.•Social Science & Medicine•2020

  • Reducing Confusion about Grounded Theory and Qualitative Content Analysis

    Open Access•Ji Young Cho, Ji Cho et al.•Qualitative Report•2014

  • Remote care technologies, older people and the social care crisis in the United Kingdom

    Open Access•Andrew Eccles•Ageing and Society•2021

  • The Impact of Intersectionality of Multiple Identities on the Digital Health Divide, Quality of Life and Loneliness amongst Older Adults in the UK

    Open Access•Ben Chi-Pun Liu•The British Journal of Social Work•2021

  • Technology in care systems

    Open Access•Kate Hamblin•New Technology Work and Employment•2022

  • Culture as Consensus

    Open Access•A Kimball Romney, C Weller et al.•American Anthropologist•1986

  • A lost decade? A renewed case for adult social care reform in England

    Open Access•Jon Glasby, Yanan Zhang et al.•Journal of Social Policy•2021

Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae