Predicting Patient Deterioration: A Review of Tools in the Digital Hospital Setting

Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System

(2020) Kyung-Jae Cho et al.   CRITICAL CARE MEDICINE

MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model

(2020) Arash Kia et al.   Journal of Clinical Medicine

Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology

(2020) Stephen Gerry et al.   BMJ-British Medical Journal

Early warning score validation methodologies and performance metrics: a systematic review

(2020) Andrew Hao Sen Fang et al.   BMC Medical Informatics and Decision Making

Continuous Cloud-Based Early Warning Score Surveillance to Improve the Safety of Acutely Ill Hospitalized Patients

(2020) Christopher K. Morgan et al.   Journal for Healthcare Quality

PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies

(2019) Robert F. Wolff et al.   ANNALS OF INTERNAL MEDICINE

Patient centred variables with univariate associations with unplanned ICU admission: a systematic review

(2019) James Malycha et al.   BMC Medical Informatics and Decision Making

Prospective Validation of a Real-time Early Warning System for Monitoring Inpatient Mortality Risk Using Electronic Medical Record Data (Preprint)

(2019) Chengyin Ye et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Combining patient visual timelines with deep learning to predict mortality

(2019) Anoop Mayampurath et al.   PLoS One

Towards development of alert thresholds for clinical deterioration using continuous predictive analytics monitoring

(2019) Jessica Keim-Malpass et al.   JOURNAL OF CLINICAL MONITORING AND COMPUTING

Optimizing the response to acute clinical deterioration: the role of Observation and Response Charts

(2019) Alice O'Connell et al.   INTERNAL MEDICINE JOURNAL

Comparing the predictive ability of a commercial artificial intelligence early warning system with physician judgement for clinical deterioration in hospitalised general internal medicine patients: a prospective observational study

(2019) Jonathan Arnold et al.   BMJ Open

Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction

(2019) Hamid Mohamadlou et al.   Health Informatics Journal

Deep Interpretable Early Warning System for the Detection of Clinical Deterioration

(2019) Farah E. Shamout et al.   IEEE Journal of Biomedical and Health Informatics

Rothman Index variability predicts clinical deterioration and rapid response activation

(2018) Brian C. Wengerter et al.   AMERICAN JOURNAL OF SURGERY

Detection of Deteriorating Patients on Surgical Wards Outside the ICU by an Automated MEWS-Based Early Warning System With Paging Functionality

(2018) Axel R. Heller et al.   ANNALS OF SURGERY

Validating the Electronic Cardiac Arrest Risk Triage (eCART) Score for Risk Stratification of Surgical Inpatients in the Postoperative Setting

(2018) Bartlomiej Bartkowiak et al.   ANNALS OF SURGERY

Development and Evaluation of an Automated Machine Learning Algorithm for In-Hospital Mortality Risk Adjustment Among Critical Care Patients*

(2018) Ryan J. Delahanty et al.   CRITICAL CARE MEDICINE

Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes

(2018) Ahmed M. Alaa et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

An Examination of Early Transfers to the ICU Based on a Physiologic Risk Score

(2018) Wenqi Hu et al.   M&SOM-Manufacturing & Service Operations Management

Comparison of the Between the Flags calling criteria to the MEWS, NEWS and the electronic Cardiac Arrest Risk Triage (eCART) score for the identification of deteriorating ward patients

(2018) Malcolm Green et al.   RESUSCITATION

An Algorithm Based on Deep Learning for Predicting In‐Hospital Cardiac Arrest

(2018) Joon‐myoung Kwon et al.   Journal of the American Heart Association

A rapid response system reduces the incidence of in-hospital postoperative cardiopulmonary arrest: a retrospective study

(2018) Tak Kyu Oh et al.   Canadian Journal of Anesthesia-Journal canadien d anesthesie

Predicting in-hospital mortality and unanticipated admissions to the intensive care unit using routinely collected blood tests and vital signs: development and validation of a multivariable model

(2018) Oliver Redfern et al.   RESUSCITATION

Minimal Impact of Implemented Early Warning Score and Best Practice Alert for Patient Deterioration*

(2018) Armando D. Bedoya et al.   CRITICAL CARE MEDICINE

Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review

(2017) Julian Varghese et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Real-Time Risk Prediction on the Wards

(2016) Michael A. Kang et al.   CRITICAL CARE MEDICINE

Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards

(2016) Matthew M. Churpek et al.   CRITICAL CARE MEDICINE

Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU

(2016) Patricia Kipnis et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Piloting electronic medical record-based early detection of inpatient deterioration in community hospitals

(2016) Gabriel J. Escobar et al.   Journal of Hospital Medicine

Incorporating an Early Detection System Into Routine Clinical Practice in Two Community Hospitals

(2016) B. Alex Dummett et al.   Journal of Hospital Medicine

Systematic review of paediatric track and trigger systems for hospitalised children

(2016) Susan M. Chapman et al.   RESUSCITATION

ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

(2016) Jonathan AC Sterne et al.   BMJ-British Medical Journal

ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

(2016) Jonathan AC Sterne et al.   BMJ-British Medical Journal

Individualizing and optimizing the use of early warning scores in acute medical care for deteriorating hospitalized patients

(2015) Muge Capan et al.   RESUSCITATION

Multicenter Development and Validation of a Risk Stratification Tool for Ward Patients

(2014) Matthew M. Churpek et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

How to improve your PubMed/MEDLINE searches: 3. advanced searching, MeSH and My NCBI

(2014) Farhad Fatehi et al.   JOURNAL OF TELEMEDICINE AND TELECARE

Automated detection of physiologic deterioration in hospitalized patients

(2014) R. S. Evans et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

The impact of the use of the Early Warning Score (EWS) on patient outcomes: A systematic review

(2014) N. Alam et al.   RESUSCITATION

Widely used track and trigger scores: Are they ready for automation in practice?

(2014) Santiago Romero-Brufau et al.   RESUSCITATION

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2013) David Moher   ANNALS OF INTERNAL MEDICINE

Using Electronic Health Record Data to Develop and Validate a Prediction Model for Adverse Outcomes in the Wards*

(2013) Matthew M. Churpek et al.   CRITICAL CARE MEDICINE

Activation of a Medical Emergency Team Using an Electronic Medical Recording–Based Screening System*

(2013) Jin Won Huh et al.   CRITICAL CARE MEDICINE

A trial of a real-time Alert for clinical deterioration in Patients hospitalized on general medical wards

(2013) Thomas C. Bailey et al.   Journal of Hospital Medicine

Risk-adjusting Hospital Mortality Using a Comprehensive Electronic Record in an Integrated Health Care Delivery System

(2013) Gabriel J. Escobar et al.   MEDICAL CARE

A Clinical Deterioration Prediction Tool for Internal Medicine Patients

(2012) Lisa L. Kirkland et al.   AMERICAN JOURNAL OF MEDICAL QUALITY

Derivation of a cardiac arrest prediction model using ward vital signs*

(2012) Matthew M. Churpek et al.   CRITICAL CARE MEDICINE

Addition of time-dependent covariates to a survival model significantly improved predictions for daily risk of hospital death

(2012) Jenna Wong et al.   JOURNAL OF EVALUATION IN CLINICAL PRACTICE

Early detection of impending physiologic deterioration among patients who are not in intensive care: Development of predictive models using data from an automated electronic medical record

(2012) Gabriel J. Escobar et al.   Journal of Hospital Medicine

Predicting clinical deterioration in the hospital: The impact of outcome selection

(2012) Matthew M. Churpek et al.   RESUSCITATION

Common laboratory tests predict imminent death in ward patients

(2012) Elsa Loekito et al.   RESUSCITATION

Abnormal vital signs are associated with an increased risk for critical events in US veteran inpatients

(2009) Geoffrey K. Lighthall et al.   RESUSCITATION