Your browser doesn't support javascript.
loading
Cost-Effectiveness and Value of Information Analysis of an Ambient Intelligent Geriatric Management (AmbIGeM) System Compared to Usual Care to Prevent Falls in Older People in Hospitals.
Pham, Clarabelle T; Visvanathan, Renuka; Strong, Mark; Wilson, Edward C F; Lange, Kylie; Dollard, Joanne; Ranasinghe, Damith; Hill, Keith; Wilson, Anne; Karnon, Jonathan.
Afiliación
  • Pham CT; Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia. clara.pham@flinders.edu.au.
  • Visvanathan R; Aged and Extended Care Services, The Queen Elizabeth Hospital, Central Adelaide Local Health Network and Adelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia.
  • Strong M; School of Health and Related Research, The University of Sheffield, Sheffield, UK.
  • Wilson ECF; Peninsula Technology Assessment Group, College of Medicine and Health, University of Exeter, Exeter, UK.
  • Lange K; Centre of Research Excellence in Translating Nutritional Science to Good Health, Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia.
  • Dollard J; Adelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Basil Hetzel Institute for Translational Health Research, Central Adelaide Local Health Network, Adelaide, SA, Australia.
  • Ranasinghe D; The Auto-ID Lab, The School of Computer Science, University of Adelaide, Adelaide, SA, Australia.
  • Hill K; Rehabilitation Ageing and Independent Living (RAIL) Research Centre, Monash University, Melbourne, VIC, Australia.
  • Wilson A; College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia.
  • Karnon J; Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia.
Appl Health Econ Health Policy ; 21(2): 315-325, 2023 03.
Article en En | MEDLINE | ID: mdl-36494574
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Accidentes por Caídas / Inteligencia Artificial Tipo de estudio: Clinical_trials / Health_economic_evaluation / Prognostic_studies Límite: Aged / Humans País/Región como asunto: Oceania Idioma: En Revista: Appl Health Econ Health Policy Asunto de la revista: SAUDE PUBLICA / SERVICOS DE SAUDE Año: 2023 Tipo del documento: Article País de afiliación: Australia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Accidentes por Caídas / Inteligencia Artificial Tipo de estudio: Clinical_trials / Health_economic_evaluation / Prognostic_studies Límite: Aged / Humans País/Región como asunto: Oceania Idioma: En Revista: Appl Health Econ Health Policy Asunto de la revista: SAUDE PUBLICA / SERVICOS DE SAUDE Año: 2023 Tipo del documento: Article País de afiliación: Australia