Christopher Spence

ORCID: 0000-0003-3871-5637
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About
Contact & Profiles
Research Areas
  • Education Systems and Policy
  • Primary Care and Health Outcomes
  • Higher Education Research Studies
  • Orthopaedic implants and arthroplasty
  • Health Services Management and Policy
  • Total Knee Arthroplasty Outcomes
  • South African History and Culture
  • Grief, Bereavement, and Mental Health
  • Cardiac, Anesthesia and Surgical Outcomes
  • Advanced X-ray and CT Imaging
  • Labor market dynamics and wage inequality
  • Climate Change and Health Impacts
  • Adolescent Sexual and Reproductive Health
  • HIV/AIDS Impact and Responses
  • Palliative Care and End-of-Life Issues
  • Surgical Simulation and Training
  • Healthcare Operations and Scheduling Optimization
  • Patient Dignity and Privacy
  • Interprofessional Education and Collaboration
  • Healthcare innovation and challenges
  • Global Health Workforce Issues
  • Food Security and Health in Diverse Populations
  • Construction Engineering and Safety
  • Higher Education and Employability
  • Obesity, Physical Activity, Diet

Epsom Hospital
2023

Imperial College London
2019

Diana Princess of Wales Hospital
2003

University of Wales
2003

Lighthouse Guild
1989-1996

Abstract Background Surgical waiting lists have risen dramatically across the UK as a result of COVID-19 pandemic. The effective use operating theatres by optimal scheduling could help mitigate this, but this requires accurate case duration predictions. Current standards for predicting surgery are inaccurate. Artificial intelligence (AI) offers potential greater accuracy in surgical duration. This study aimed to investigate whether there is evidence support that AI more than current industry...

10.1093/bjsopen/zrad113 article EN cc-by BJS Open 2023-11-01

Over 8000 total hip arthroplasties (THA) in the UK were revised 2019, half for aseptic loosening. It is believed that Artificial Intelligence (AI) could identify or predict failing THA and result early recognition of poorly performing implants reduce patient suffering. The aim this study to investigate whether based machine learning (ML) / Deep Learning (DL) techniques can train an algorithm and/or uncemented THA. Consent was sought from patients followed up a single design, implant...

10.1302/1358-992x.2023.11.031 article EN Orthopaedic Proceedings 2023-06-07

Journal Article Responding to a Metropolitan Health Crisis: London Lighthouse, an integrated model of care Get access Christopher Spence is Director Lighthouse Search for other works by this author on: Oxford Academic Google Scholar Community Development Journal, Volume 24, Issue 3, July 1989, Pages 177–185, https://doi.org/10.1093/cdj/24.3.177 Published: 01 1989

10.1093/cdj/24.3.177 article EN Community Development Journal 1989-01-01

As London Lighthouse marks its tenth anniversary, has the centre for people affected by HIV and AIDS stayed true to vision? Founder Christopher Spence thinks so

10.7748/ns.11.6.17.s33 article EN Nursing Standard 1996-10-30
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