Literature DB >> 27805800

Early detection, prevention, and mitigation of critical illness outside intensive care settings.

Gabriel J Escobar1, R Phillip Dellinger2.   

Abstract

Patients who deteriorate outside the intensive care unit (ICU) are known to have elevated mortality and morbidity. Rapid response teams (RRTs) were developed to address such deterioration. It has not been possible to establish that RRTs employing manual detection methods have definitively improved hospital outcomes. Because of this, automated early detection systems based on data from modern electronic medical records have been developed. This article attempts to establish a conceptual framework for early detection, prevention, and mitigation of critical illness in hospitalized patients outside the ICU. Taking a step back from the now voluminous clinical and statistical literature on early warning systems, this article focuses on definitional issues (What is early detection? What does it aim to detect, and how?). Particular attention is given to how early detection systems interface with patients who are near the end of life. Also addressed are problems of how one quantifies benefit, which includes consideration of downsides such as potential harms of early detection. Journal of Hospital Medicine 2016;11:S5-S10.
© 2016 Society of Hospital Medicine. © 2016 Society of Hospital Medicine.

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Year:  2016        PMID: 27805800     DOI: 10.1002/jhm.2653

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  13 in total

1.  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.

Authors:  Muhammad Faisal; Donald Richardson; Andrew J Scally; Robin Howes; Kevin Beatson; Kevin Speed; Mohammed A Mohammed
Journal:  CMAJ       Date:  2019-04-08       Impact factor: 8.262

Review 2.  Statistical Modeling and Aggregate-Weighted Scoring Systems in Prediction of Mortality and ICU Transfer: A Systematic Review.

Authors:  Daniel T Linnen; Gabriel J Escobar; Xiao Hu; Elizabeth Scruth; Vincent Liu; Caroline Stephens
Journal:  J Hosp Med       Date:  2019-03       Impact factor: 2.960

3.  Prediction of Recurrent Clostridium Difficile Infection Using Comprehensive Electronic Medical Records in an Integrated Healthcare Delivery System.

Authors:  Gabriel J Escobar; Jennifer M Baker; Patricia Kipnis; John D Greene; T Christopher Mast; Swati B Gupta; Nicole Cossrow; Vinay Mehta; Vincent Liu; Erik R Dubberke
Journal:  Infect Control Hosp Epidemiol       Date:  2017-08-24       Impact factor: 3.254

4.  Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration.

Authors:  Gabriel J Escobar; Vincent X Liu; Alejandro Schuler; Brian Lawson; John D Greene; Patricia Kipnis
Journal:  N Engl J Med       Date:  2020-11-12       Impact factor: 91.245

5.  A framework for making predictive models useful in practice.

Authors:  Kenneth Jung; Sehj Kashyap; Anand Avati; Stephanie Harman; Heather Shaw; Ron Li; Margaret Smith; Kenny Shum; Jacob Javitz; Yohan Vetteth; Tina Seto; Steven C Bagley; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

6.  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.

Authors:  Muhammad Faisal; Andrew J Scally; Natalie Jackson; Donald Richardson; Kevin Beatson; Robin Howes; Kevin Speed; Madhav Menon; Jeremey Daws; Judith Dyson; Claire Marsh; Mohammed A Mohammed
Journal:  BMJ Open       Date:  2018-12-06       Impact factor: 2.692

7.  Multiyear Rehospitalization Rates and Hospital Outcomes in an Integrated Health Care System.

Authors:  Gabriel J Escobar; Colleen Plimier; John D Greene; Vincent Liu; Patricia Kipnis
Journal:  JAMA Netw Open       Date:  2019-12-02

8.  Nursing and precision predictive analytics monitoring in the acute and intensive care setting: An emerging role for responding to COVID-19 and beyond.

Authors:  Jessica Keim-Malpass; Liza P Moorman
Journal:  Int J Nurs Stud Adv       Date:  2021-01-05

9.  Predicting and Responding to Clinical Deterioration in Hospitalized Patients by Using Artificial Intelligence: Protocol for a Mixed Methods, Stepped Wedge Study.

Authors:  Laura M Holdsworth; Samantha M R Kling; Margaret Smith; Nadia Safaeinili; Lisa Shieh; Stacie Vilendrer; Donn W Garvert; Marcy Winget; Steven M Asch; Ron C Li
Journal:  JMIR Res Protoc       Date:  2021-07-07

10.  Modified early warning score-based clinical decision support: cost impact and clinical outcomes in sepsis.

Authors:  Devin J Horton; Kencee K Graves; Polina V Kukhareva; Stacy A Johnson; Maribel Cedillo; Matthew Sanford; William A Dunson; Michael White; Dave Roach; John J Arego; Kensaku Kawamoto
Journal:  JAMIA Open       Date:  2020-04-21
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