Literature DB >> 27229639

Development and Implementation of Sepsis Alert Systems.

Andrew M Harrison1, Ognjen Gajic2, Brian W Pickering3, Vitaly Herasevich4.   

Abstract

Development and implementation of sepsis alert systems is challenging, particularly outside the monitored intensive care unit (ICU) setting. Barriers to wider use of sepsis alerts include evolving clinical definitions of sepsis, information overload, and alert fatigue, due to suboptimal alert performance. Outside the ICU, barriers include differences in health care delivery models, charting behaviors, and availability of electronic data. Current evidence does not support routine use of sepsis alert systems in clinical practice. Continuous improvement in the afferent and efferent aspects will help translate theoretic advantages into measurable patient benefit.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Automated alert systems; Critical care; Hospital; Intensive care unit; Sepsis

Mesh:

Year:  2016        PMID: 27229639      PMCID: PMC4884325          DOI: 10.1016/j.ccm.2016.01.004

Source DB:  PubMed          Journal:  Clin Chest Med        ISSN: 0272-5231            Impact factor:   2.878


  56 in total

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Authors:  E Stokstad
Journal:  Science       Date:  2001-08-31       Impact factor: 47.728

2.  Demographic and clinical variation of adult intensive care unit utilization from a geographically defined population.

Authors:  Edward G Seferian; Bekele Afessa
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3.  The inevitable application of big data to health care.

Authors:  Travis B Murdoch; Allan S Detsky
Journal:  JAMA       Date:  2013-04-03       Impact factor: 56.272

4.  Novel Representation of Clinical Information in the ICU: Developing User Interfaces which Reduce Information Overload.

Authors:  B W Pickering; V Herasevich; A Ahmed; O Gajic
Journal:  Appl Clin Inform       Date:  2010-04-28       Impact factor: 2.342

5.  Redesigning hospital alarms for patient safety: alarmed and potentially dangerous.

Authors:  Vineet Chopra; Laurence F McMahon
Journal:  JAMA       Date:  2014-03-26       Impact factor: 56.272

6.  Evaluating the performance of an institution using an intensive care unit benchmark.

Authors:  Bekele Afessa; Mark T Keegan; Rolf D Hubmayr; James M Naessens; Ognjen Gajic; Kirsten Hall Long; Steve G Peters
Journal:  Mayo Clin Proc       Date:  2005-02       Impact factor: 7.616

Review 7.  Connecting the dots: rule-based decision support systems in the modern EMR era.

Authors:  Vitaly Herasevich; Daryl J Kor; Arun Subramanian; Brian W Pickering
Journal:  J Clin Monit Comput       Date:  2013-02-28       Impact factor: 2.502

8.  Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock: 2008.

Authors:  R Phillip Dellinger; Mitchell M Levy; Jean M Carlet; Julian Bion; Margaret M Parker; Roman Jaeschke; Konrad Reinhart; Derek C Angus; Christian Brun-Buisson; Richard Beale; Thierry Calandra; Jean-Francois Dhainaut; Herwig Gerlach; Maurene Harvey; John J Marini; John Marshall; Marco Ranieri; Graham Ramsay; Jonathan Sevransky; B Taylor Thompson; Sean Townsend; Jeffrey S Vender; Janice L Zimmerman; Jean-Louis Vincent
Journal:  Crit Care Med       Date:  2008-01       Impact factor: 7.598

9.  The re-emerging role of the intestinal microflora in critical illness and inflammation: why the gut hypothesis of sepsis syndrome will not go away.

Authors:  John C Alverdy; Eugene B Chang
Journal:  J Leukoc Biol       Date:  2007-12-26       Impact factor: 4.962

Review 10.  Critical care and the global burden of critical illness in adults.

Authors:  Neill K J Adhikari; Robert A Fowler; Satish Bhagwanjee; Gordon D Rubenfeld
Journal:  Lancet       Date:  2010-10-11       Impact factor: 79.321

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  10 in total

1.  Future of the ICU: finding treatable needles in the data haystack.

Authors:  Lieuwe D J Bos; Elie Azoulay; Ignacio Martin-Loeches
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2.  A sirs-based automated alarm system for the diagnosis of sepsis after burn injury.

Authors:  J Gille; A Dietz; H Taha; A Sablotzki
Journal:  Ann Burns Fire Disasters       Date:  2017-09-30

3.  Evaluation of User-Interface Alert Displays for Clinical Decision Support Systems for Sepsis.

Authors:  Devida Long; Muge Capan; Susan Mascioli; Danielle Weldon; Ryan Arnold; Kristen Miller
Journal:  Crit Care Nurse       Date:  2018-08       Impact factor: 1.708

4.  Comparison of methods of alert acknowledgement by critical care clinicians in the ICU setting.

Authors:  Andrew M Harrison; Charat Thongprayoon; Christopher A Aakre; Jack Y Jeng; Mikhail A Dziadzko; Ognjen Gajic; Brian W Pickering; Vitaly Herasevich
Journal:  PeerJ       Date:  2017-03-14       Impact factor: 2.984

5.  Pediatric Vital Sign Distribution Derived From a Multi-Centered Emergency Department Database.

Authors:  Robert J Sepanski; Sandip A Godambe; Arno L Zaritsky
Journal:  Front Pediatr       Date:  2018-03-23       Impact factor: 3.418

Review 6.  Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review.

Authors:  Khalia Ackermann; Jannah Baker; Malcolm Green; Mary Fullick; Hilal Varinli; Johanna Westbrook; Ling Li
Journal:  J Med Internet Res       Date:  2022-02-23       Impact factor: 7.076

7.  Impact of an electronic alert system for pediatric sepsis screening a tertiary hospital experience.

Authors:  Abdullah Alturki; Ayman Al-Eyadhy; Ali Alfayez; Abdulrahman Bendahmash; Fahad Aljofan; Fawaz Alanzi; Hadeel Alsubaie; Moath Alabdulsalam; Tareq Alayed; Tariq Alofisan; Afnan Alnajem
Journal:  Sci Rep       Date:  2022-07-20       Impact factor: 4.996

8.  Human-machine teaming is key to AI adoption: clinicians' experiences with a deployed machine learning system.

Authors:  Bilge Mutlu; Suchi Saria; Katharine E Henry; Rachel Kornfield; Anirudh Sridharan; Robert C Linton; Catherine Groh; Tony Wang; Albert Wu
Journal:  NPJ Digit Med       Date:  2022-07-21

9.  Why and How to Approach User Experience in Safety-Critical Domains: The Example of Health Care.

Authors:  Tobias Grundgeiger; Jörn Hurtienne; Oliver Happel
Journal:  Hum Factors       Date:  2020-01-08       Impact factor: 2.888

10.  Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study.

Authors:  Sahil Sandhu; Anthony L Lin; Nathan Brajer; Jessica Sperling; William Ratliff; Armando D Bedoya; Suresh Balu; Cara O'Brien; Mark P Sendak
Journal:  J Med Internet Res       Date:  2020-11-19       Impact factor: 5.428

  10 in total

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