Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening

Bhaskaran, 2021, Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform, Lancet Reg Health Europe, 6 Clift, 2020, Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study, BMJ, 371 Read, 2021, Hospital-acquired SARS-CoV-2 infection in the UK's first COVID-19 pandemic wave, Lancet, 398, 1037, 10.1016/S0140-6736(21)01786-4 Soltan, 2021, Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test, Lancet Digit Health, 3, e78, 10.1016/S2589-7500(20)30274-0 Wikramaratna, 2020, Estimating the false-negative test probability of SARS-CoV-2 by RT-PCR, Euro Surveill, 25, 10.2807/1560-7917.ES.2020.25.50.2000568 Kucirka, 2020, Variation in false-negative rate of reverse transcriptase polymerase chain reaction-based SARS-CoV-2 tests by time since exposure, Ann Intern Med, 173, 262, 10.7326/M20-1495 Assennato, 2020, Performance evaluation of the SAMBA II SARS-CoV-2 test for point-of-care detection of SARS-CoV-2, J Clin Microbiol, 59, e01262, 10.1128/JCM.01262-20 Young, 2021, Use of lateral flow devices allows rapid triage of patients with SARS-CoV-2 on admission to hospital, J Infect, 82, 276, 10.1016/j.jinf.2021.02.025 Wolf Iacobucci, 2021, COVID-19: MHRA is concerned over use of rapid lateral flow devices for mass testing, BMJ, 373 Dinnes, 2021, Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection, Cochrane Database Syst Rev, 3 Stegeman, 2020, Routine laboratory testing to determine if a patient has COVID-19, Cochrane Database Syst Rev, 11 2022, A blood atlas of COVID-19 defines hallmarks of disease severity and specificity, Cell Richardson, 2020, Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area, JAMA, 323, 2052, 10.1001/jama.2020.6775 Lippi, 2020, Validation of the Corona-Score for rapid identification of SARS-CoV-2 infections in patients seeking emergency department care in the United States, Clin Chem Lab Med, 58, e311, 10.1515/cclm-2020-1121 Kukar, 2021, COVID-19 diagnosis by routine blood tests using machine learning, Sci Rep, 11, 10.1038/s41598-021-90265-9 Mei, 2020, Artificial intelligence-enabled rapid diagnosis of patients with COVID-19, Nat Med, 26, 1224, 10.1038/s41591-020-0931-3 Antunez Muiños, 2021, The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients, Sci Rep, 11, 10.1038/s41598-021-88679-6 Sîrbu, 2021, Early outcome detection for COVID-19 patients, Sci Rep, 11, 10.1038/s41598-021-97990-1 Roberts, 2021, Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans, Nat Mach Intell, 3, 199, 10.1038/s42256-021-00307-0 Wynants, 2020, Prediction models for diagnosis and prognosis of COVID-19: systematic review and critical appraisal, BMJ, 369 2021, Artificial intelligence for COVID-19: saviour or saboteur?, Lancet Digit Health, 3, e1, 10.1016/S2589-7500(20)30295-8 Bachar, 2021, An artificial intelligence-assisted diagnostic platform for rapid near-patient hematology, Am J Hematol, 96, 1264, 10.1002/ajh.26295 Kung, 2021, Effective strategies to prevent in-hospital infection in the emergency department during the novel coronavirus disease 2019 pandemic, J Microbiol Immunol Infect, 54, 120, 10.1016/j.jmii.2020.05.006 Newcombe, 2000, Proportions and their differences Sun, 2014, Fast implementation of DeLong's algorithm for comparing the areas under correlated receiver operating characteristic curves, IEEE Signal Process Lett, 21, 1389, 10.1109/LSP.2014.2337313 Buderer, 1996, Statistical methodology: I. Incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity, Acad Emerg Med, 3, 895, 10.1111/j.1553-2712.1996.tb03538.x Arifin Wise, 2020, COVID-19: safety of lateral flow tests questioned after they are found to miss half of cases, BMJ, 371 Mei, 2020, Artificial intelligence-enabled rapid diagnosis of patients with COVID-19, Nat Med, 26, 1224, 10.1038/s41591-020-0931-3 Gunasekeran, 2021, Digital health during COVID-19: lessons from operationalising new models of care in ophthalmology, Lancet Digit Health, 3, e124, 10.1016/S2589-7500(20)30287-9