Cited by 4Sepsis Diagnosis and TreatmentMachine Learning in HealthcareHealthcare Technology and Patient Monitoring

The DOI matches its Crossref record.

Accelerating the Clinical Workflow Using the Sepsis Prediction and Optimization of Therapy (SPOT) Tool for Real-Time Clinical Monitoring

Abstract

SummaryThe early identification and diagnosis of sepsis remains a challenge in most health care settings. To promote identification and treatment of sepsis earlier in the progression of the disease, HCA Healthcare implemented a series of performance improvement initiatives and augmented this with an automated, real-time algorithm to detect sepsis. We leveraged the scale of our data to create the algorithm and then implemented it into the workflows of 173 distinct acute care hospitals, demonstrating reproducibility and contributing to a decline in sepsis-related mortality over a 6-year period. This algorithm, referred to as SPOT — Sepsis Prediction and Optimization of Therapy — can be incorporated into ongoing sepsis detection, prevention, and treatment initiatives.

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Crossref · 10.1056/cat.19.1036

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Research works printed but not linked: 18

  1. 10.1001/jama.2017.13836 · DOI · Paper page
  2. 10.15585/mmwr.mm6513a2 · DOI
  3. 10.1097/CCM.0000000000003342 · DOI
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  8. 10.1097/CCM.0000000000002255 · DOI · Paper page
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  10. 10.1097/CCM.0b013e31827e83af · DOI · Paper page
  11. 10.1097/01.ccm.0000529514.81407.6a · DOI
  12. 10.1378/chest.101.6.1644 · DOI
  13. 10.1002/jhm.2347 · DOI · Paper page
  14. 10.1093/jamiaopen/ooz014 · DOI
  15. 10.1097/JHQ.0000000000000066 · DOI
  16. 10.1016/S2213-2600(18)30072-9 · DOI
  17. 10.1016/j.annemergmed.2016.02.044 · DOI
  18. 10.1097/CCM.0000000000003261 · DOI

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Metadata

Authors
Guy, J. S., Jackson, E., & Perlin, J. B.
Affiliations
HCA Healthcare (US)
Venue
NEJM Catalyst
Published
2020-05
Volume
1
Issue
3
ISSN
2642-0007 (ISSN-L)
OpenAlex
W3016690282
Cited by
4
References
0
Citations by year
2025: 1 · 2022: 2 · 2021: 1
FWCI
0.54
Type
journal article
Language
en
Open access
closed
Locations
NEJM Catalyst (publishedVersion)
Topics
  • Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Sepsis Diagnosis and Treatment
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
  • Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
Keywords
sepsis, sepsis prediction, clinical workflow, sepsis mortality, acute care hospitals, performance improvement, early diagnosis

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