Development and external validation of an automated computer-aided risk score for predicting sepsis in emergency medical admissions using the patient's first …

M Faisal, A Scally, D Richardson, K Beatson… - Critical care …, 2018 - journals.lww.com
Objectives: To develop a logistic regression model to predict the risk of sepsis following
emergency medical admission using the patient’s first, routinely collected, electronically …

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 …

D Richardson, M Faisal, M Fiori, K Beatson… - BMJ open, 2021 - bmjopen.bmj.com
Objectives Although the National Early Warning Score (NEWS) and its latest version NEWS2
are recommended for monitoring deterioration in patients admitted to hospital, little is …

A comparison of logistic regression models with alternative machine learning methods to predict the risk of in-hospital mortality in emergency medical admissions via …

M Faisal, A Scally, R Howes, K Beatson… - Health informatics …, 2020 - journals.sagepub.com
We compare the performance of logistic regression with several alternative machine learning
methods to estimate the risk of death for patients following an emergency admission to …

[HTML][HTML] Quality review of an adverse incident reporting system and root cause analysis of serious adverse surgical incidents in a teaching hospital of Scotland

M Khorsandi, C Skouras, K Beatson, A Alijani - Patient safety in surgery, 2012 - Springer
Background A significant proportion of surgical patients are unintentionally harmed during
their hospital stay. Root Cause Analysis (RCA) aims to determine the aetiology of adverse …

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 …

…, AJ Scally, N Jackson, D Richardson, K Beatson… - BMJ open, 2018 - bmjopen.bmj.com
Objectives There are no established mortality risk equations specifically for emergency medical
patients who are admitted to a general hospital ward. Such risk equations may be useful …

[HTML][HTML] The inclusion of delirium in version 2 of the National Early Warning Score will substantially increase the alerts for escalating levels of care: findings from a …

…, D Richardson, A Scally, R Howes, K Beatson… - Clinical …, 2019 - ncbi.nlm.nih.gov
Background The National Early Warning Score (NEWS) is being replaced with NEWS2 which
adds 3 points for new confusion or delirium. We estimated the impact of adding delirium on …

Computer-aided National Early Warning Score to predict the risk of sepsis following emergency medical admission to hospital: a model development and external …

…, D Richardson, AJ Scally, R Howes, K Beatson… - CMAJ, 2019 - Can Med Assoc
BACKGROUND: In hospitals in England, patients’ vital signs are monitored and summarized
into the National Early Warning Score (NEWS); this score is more accurate than the Quick …

Performance of externally validated enhanced computer-aided versions of the National Early Warning Score in predicting mortality following an emergency admission …

…, D Richardson, A Scally, R Howes, K Beatson… - BMJ open, 2019 - bmjopen.bmj.com
Objectives In the English National Health Service, the patient’s vital signs are monitored
and summarised into a National Early Warning Score (NEWS) to support clinical decision …

Impact of the level of sickness on higher mortality in emergency medical admissions to hospital at weekends

…, D Richardson, R Howes, K Beatson… - Journal of Health …, 2017 - journals.sagepub.com
Objective Routine administrative data have been used to show that patients admitted to
hospitals over the weekend appear to have a higher mortality compared to weekday admissions. …

Development and validation of automated computer-aided risk scores to predict in-hospital mortality for emergency medical admissions with COVID-19: a …

…, M Mohammed, D Richardson, M Fiori, K Beatson - BMJ open, 2022 - bmjopen.bmj.com
Objectives There are no established mortality risk equations specifically for unplanned
emergency medical admissions which include patients with SARS-19 (COVID-19). We aim to …