Mumtaz, ShahzadRasmussen, Luke VKarwath, AndreasGkoutos, Georgios VGao, ChuangThayer, DanPacheco, Jennifer AParkinson, HelenRichesson, Rachel LJefferson, EmilyDenaxas, SpirosCurcin, VasaChapman, Martin2023-09-282023-09-282021-09-11Mumtaz, S, Rasmussen, L V, Karwath, A, Gkoutos, G V, Gao, C, Thayer, D, Pacheco, J A, Parkinson, H, Richesson, R L, Jefferson, E, Denaxas, S, Curcin, V & Chapman, M 2021, 'Desiderata for the development of next-generation electronic health record phenotype libraries', GigaScience, vol. 10, no. 9, giab059. https://doi.org/10.1093/gigascience/giab0592047-217XPubMedCentral: PMC8434766ORCID: /0000-0003-2606-2405/work/143414196https://hdl.handle.net/2164/21787This work was supported by Health Data Research UK, which receives its funding from Health Data Research UK Ltd (NIWA1; G.V.G. and A.K.: HDRUK/CFC/01) funded by the UK Medical Research Council (MRC), Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and the Wellcome Trust. In addition, S.D. acknowledges that this study is part of the BigData@Heart programme that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking (116074), which receives support from the European Union’s Horizon 2020 research and innovation programme (H2020) and the European Federation of Pharmaceutical Industries and Associations (EFPIA). M.C. and V.C. are supported by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy’s and St Thomas’ National Health Service Foundation Trust and King’s College London, and the Public Health and Multimorbidity Theme of the National Institute for Health Research’s Applied Research Collaboration (ARC) South London. G.V.G. and A.K. also acknowledge support from the NIHR Birmingham Experimental Cancer Medicine Centre (ECMC), the NIHR Birmingham Surgical Reconstruction Microbiology Research Centre (SRMRC), and the NIHR Birmingham Biomedical Research Centre, as well as Nanocommons H2020 (731032) and an MRC fellowship grant (MR/S003991/1). H.P. acknowledges support from European Molecular Biology Laboratory (EMBL) core funds. L.V.R. and J.A.P. acknowledge support from the National Institute of General Medical Sciences (R01GM105688) and the National Human Genome Research Institute (U01HG011169). The opinions in this article are those of the authors and do not necessarily reflect the opinions of the funders.131601672engElectronic Health RecordsHumansPhenotypeReproducibility of Resultsphenotype libraryEHR-based phenotypingelectronic health recordscomputable phenotypeZA4050 Electronic information resourcesQA75 Electronic computers. Computer scienceHealth InformaticsComputer Science ApplicationsMedical Research Council (MRC)MR/S003991/1Engineering and Physical Sciences Research Council (EPSRC)Economic and Social Research Council (ESRC)Chief Scientist Office (CSO)British Heart FoundationWellcome TrustEuropean Commission731032National Institute for Health Research (NIHR)OtherHDRUK/CFC/01116074ZA4050QA75Journal article10.1093/gigascience/giab059http://www.scopus.com/inward/record.url?scp=85116486505&partnerID=8YFLogxK109