Journal publications
2021
- Faisal M., Mohammed M. A., Richardson D., Steyerberg E. W., Fiori M., Beatson K., (2021). Predictive accuracy of enhanced versions of the on-admission National Early Warning Score in estimating the risk of COVID-19 for unplanned admission to hospital: a retrospective development and validation study. BMC Health Services Research 21, 957 (2021). https://doi.org/10.1186/s12913-021-06951-x
- Richardson D., Faisal M., Fiori M., Beatson K., Mohammed M. A.(2021). Use of the first National Early Warning Score recorded within 24 hours of admission to estimate the risk of in-hospital mortality in unplanned COVID-19 patients: a retrospective cohort study. BMJ Open 2021; 11:e043721. doi: 10.1136/bmjopen-2020-043721
2019
- Faisal M., Richardson D., Scally A., Beatson K., Mohammed M. A.(2019). Performance of externally validated enhanced computer-aided versions of the National Early Warning Score in predicting mortality following an emergency admission to hospital in England: a cross-sectional study. BMJ Open 2019. DOI: 10.1136/bmjopen-2019-031596
- Faisal M., Khatoon B., Scally A., Richardson D., Irwin S., Davidson R., Heseltine D., Corlett A., Ali J., Hampson R., Kesavan S., McGonigal G., Goodman K., Harkness M., Mohammed M. A. (2019). A prospective study of consecutive emergency medical admissions to compare a novel automated computer aided mortality risk score and clinical judgement of patient mortality risk. BMJ Open DOI: 10.1136/bmjopen-2018-027741.
- Faisal M., Scally A., Richardson D., Beatson K., Speed K., Howes R., Mohammed M. A. (2019). Computer-aided National Early Warning Score to predict the risk of sepsis following emergency medical admission to hospital: a model development and external validation study. Canadian Medical Association Journal (CMAJ); 191 (14). DOI: 10.1503/cmaj.181418
- Dyson J., March C., Faisal M., Richardson D., Scally A., Beatson K., Howes R., Speed K., Jackson N., Mohammed M. A. (2019). Understanding and applying practitioner and patient views on the implementation of a novel automated Computer Aided Risk Score (CARS) predicting the risk of death following emergency medical admission to hospital: A qualitative study. BMJ Open. DOI: 10.1136/bmjopen-2018-026591
- Mohammed M. A., Faisal M., Richardson D., Scally A., Beatson K., Howes R. (2019). The inclusion of delirium in the next version of the National Early Warning Score (NEWS2) will substantially increase the alerts for escalating levels of care: findings from a retrospective database study of emergency medical admissions in two hospitals. Clinical Medicine; 19(2),pp:104-108 DOI: 10.7861/clinmedicine.19-2-104
2018
- Faisal M., Scally A., Richardson D., Jackson N., Beatson K., Howes R., Dyson J., Speed K., Marsh C., Mohammed M. A. (2018). Development and validation of a novel computer-aided score to predict the risk of in-hospital mortality for acutely ill medical admissions in two acute hospitals using their first electronically recorded blood test results and vital signs: a cross-sectional study. BMJ Open. DOI: 10.1136/bmjopen-2018-022939
- Faisal M., Scally A., Richardson D., Beatson K., Howes R., Mohammed M. A. (2018). A comparison of modern computationally intensive modelling methods with a simple multivariable logistic regression approach to predict the risk of in-hospital mortality in acutely ill medical admissions. Health Informatics Journal DOI:10.1177/1460458218813600
- Faisal M., Scally A., Richardson D., Beatson K., Howes R., Speed K., Mohammed M. A. (2018). Development and external validation of an automated computer aided risk score for predicting sepsis in emergency medical admissions using the patient’s first electronically recorded vital signs and blood test results. Critical Care Medicine, 46(4):612-618; DOI: 10.1097/CCM.0000000000002967
- Faisal M., Scally A., Elgaali M.A., Richardson D., Beatson K., Howes R., Mohammed M. A. (2018). The National Early Warning Score and its subcomponents recorded within ±24 h of emergency medical admission are poor predictors of hospital-acquired acute kidney injury. Clinical Medicine, 18(1): 47-53. DOI: 10.7861/clinmedicine.18-1-47
2017
2016
