Predictive algoRithm for EValuation and Intervention in SEpsis

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

2296 participants

Study Classification

INTERVENTIONAL

Study Start Date

2017-07-01

Study Completion Date

2017-08-30

Brief Summary

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In this prospective study, the ability of a machine learning algorithm to predict sepsis and influence clinical outcomes, will be investigated at Cabell Huntington Hospital (CHH).

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Detailed Description

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Conditions

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Sepsis Septic Shock Severe Sepsis

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

FACTORIAL

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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With InSight

Healthcare provider receives an alert from InSight for patients trending towards severe sepsis. Healthcare provider also receives information from the severe sepsis detector in the CHH electronic health record.

Group Type EXPERIMENTAL

Severe Sepsis Detection

Intervention Type OTHER

Upon receiving information from the severe sepsis detector in the CHH electronic health record, healthcare provider follows standard practices in assessing possible (severe) sepsis and intervening accordingly.

Severe Sepsis Prediction

Intervention Type OTHER

Upon receiving an InSight alert, healthcare provider follows standard practices in assessing possible (severe) sepsis and intervening accordingly.

Without Insight

Healthcare provider does not receive any alerts from InSight. Healthcare provider receives information from the severe sepsis detector in the CHH electronic health record.

Group Type ACTIVE_COMPARATOR

Severe Sepsis Detection

Intervention Type OTHER

Upon receiving information from the severe sepsis detector in the CHH electronic health record, healthcare provider follows standard practices in assessing possible (severe) sepsis and intervening accordingly.

Interventions

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Severe Sepsis Detection

Upon receiving information from the severe sepsis detector in the CHH electronic health record, healthcare provider follows standard practices in assessing possible (severe) sepsis and intervening accordingly.

Intervention Type OTHER

Severe Sepsis Prediction

Upon receiving an InSight alert, healthcare provider follows standard practices in assessing possible (severe) sepsis and intervening accordingly.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* All adult patients visiting the emergency department, or admitted to the participating intensive care unit (ICU) wards of Cabell Huntington Hospital will be eligible.