Detailed clinical modelling approach to data extraction from heterogeneous data sources for clinical research

Autor: Sn, Lim Choi Keung, Zhao L, Rossiter J, McGilchrist M, Culross F, Jf, Ethier, Burgun A, Ra, Verheij, Khan N, Adel Taweel, Curcin V, Bc, Delaney, Tn, Arvanitis

Publikováno v: Europe PubMed Central
AMIA Summits on Translational Science Proceedings

The reuse of routinely collected clinical data for clinical research is being explored as part of the drive to reduce duplicate data entry and to start making full use of the big data potential in the healthcare domain. Clinical researchers often nee

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e30c8e64eb7754450d52e586ed804d8
http://europepmc.org/abstract/med/25954578

Reuse of routinely collected health data for clinical research: considerations in a central England case study

Autor: Sarah N. Lim Choi Keung, Zhao L, Rossiter J, Langford G, Taweel A, Bc, Delaney, Ka, Peterson, Sm, Speedie, Fd, Hobbs, Tn, Arvanitis

Publikováno v: Europe PubMed Central

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9fb2f2e1aa012e7c97c6d6ec76c5f902
http://europepmc.org/abstract/med/23823369

Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies.

Autor: Espinosa-Gonzalez A; Institute of Global Health Innovation, Department of Surgery and Cancer, Imperial College London, London, UK., Prociuk D; Institute of Global Health Innovation, Department of Surgery and Cancer, Imperial College London, London, UK., Fiorentino F; Institute of Global Health Innovation, Department of Surgery and Cancer, Imperial College London, London, UK; Nightingale-Saunders Clinical Trials & Epidemiology Unit, King's Clinical Trials Unit, King's College London, London, UK., Ramtale C; Institute of Global Health Innovation, Department of Surgery and Cancer, Imperial College London, London, UK., Mi E; Institute of Global Health Innovation, Department of Surgery and Cancer, Imperial College London, London, UK., Mi E; Institute of Global Health Innovation, Department of Surgery and Cancer, Imperial College London, London, UK., Glampson B; Department of Surgery and Cancer, Imperial College Healthcare NHS Trust, London, UK., Neves AL; Institute of Global Health Innovation, Department of Surgery and Cancer, Imperial College London, London, UK., Okusi C; Nuffield Department of Primary Care, University of Oxford, Oxford, UK., Husain L; Nuffield Department of Primary Care, University of Oxford, Oxford, UK., Macartney J; Nuffield Department of Primary Care, University of Oxford, Oxford, UK., Brown M; South Central Ambulance Service NHS Trust, Otterboure, UK., Browne B; South Central Ambulance Service NHS Trust, Otterboure, UK., Warren C; South Central Ambulance Service NHS Trust, Otterboure, UK., Chowla R; King's Health Partners, London, UK., Heaversedge J; South East London NHS Clinical Commissioning Group, London, UK., Greenhalgh T; Nuffield Department of Primary Care, University of Oxford, Oxford, UK., de Lusignan S; Nuffield Department of Primary Care, University of Oxford, Oxford, UK., Mayer E; Institute of Global Health Innovation, Department of Surgery and Cancer, Imperial College London, London, UK., Delaney BC; Institute of Global Health Innovation, Department of Surgery and Cancer, Imperial College London, London, UK. Electronic address: brendan.delaney@imperial.ac.uk.

Publikováno v: The Lancet. Digital health [Lancet Digit Health] 2022 Sep; Vol. 4 (9), pp. e646-e656. Date of Electronic Publication: 2022 Jul 28.

Recommendations for the recognition, diagnosis, and management of long COVID: a Delphi study.

Autor: Nurek M; Department of Surgery and Cancer, Imperial College London, London., Rayner C; Department of Acute Medicine, Nottingham University Hospitals NHS Trust, Queen's Medical Centre, Nottingham., Freyer A; Department of Acute Medicine, Nottingham University Hospitals NHS Trust, Queen's Medical Centre, Nottingham., Taylor S; Central and North West London NHS Foundation Trust and honorary senior clinical lecturer, Imperial College School of Medicine, London., Järte L; Anaesthetics Department, Morriston Hospital, Swansea Bay University Health Board, Swansea., MacDermott N; King's College London, St Thomas' Hospital, London., Delaney BC; Department of Surgery and Cancer, Imperial College London, London, and principal in general practice, Albion Street Group Practice, London.

Publikováno v: The British journal of general practice : the journal of the Royal College of General Practitioners [Br J Gen Pract] 2021 Oct 28; Vol. 71 (712), pp. e815-e825. Date of Electronic Publication: 2021 Oct 28 (Print Publication: 2021).

Can decision support combat incompleteness and bias in routine primary care data?

Autor: Kostopoulou O; Department of Surgery and Cancer, Imperial College London, St Mary's Campus, Norfolk Place, London, UK., Tracey C; Department of Surgery and Cancer, Imperial College London, St Mary's Campus, Norfolk Place, London, UK., Delaney BC; Department of Surgery and Cancer, Imperial College London, St Mary's Campus, Norfolk Place, London, UK.

Publikováno v: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2021 Jul 14; Vol. 28 (7), pp. 1461-1467.