Prediction of Patient Deterioration Using Machine Learning

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

UNKNOWN

Total Enrollment

500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-03-20

Study Completion Date

2021-12-01

Brief Summary

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This is a retrospective observational study drawing on data from the Brigham and Women's Home Hospital database. Sociodemographic and clinic data from a training cohort were used to train a machine learning algorithm to predict patient deterioration throughout a patient's admission. This algorithm was then validated in a validation cohort.

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Detailed Description

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Conditions

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Infection Heart Failure Chronic Obstructive Pulmonary Disease Asthma Gout Flare Chronic Kidney Diseases Hypertensive Urgency Atrial Fibrillation Rapid Anticoagulants; Increased

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Training

A subset of patients that are used to train the machine learning algorithm.

Traditional vital sign alarms versus the BioVitals Index vs the National Early Warning Score 2

Intervention Type OTHER

We will retrospectively compare the alarms produced from traditional vital sign alarms (thresholds set by clinicians) versus the BioVitals Index vs the National Early Warning Score 2

Validation

A subset of patients that are "held back" and used to validate the algorithm's accuracy.

Traditional vital sign alarms versus the BioVitals Index vs the National Early Warning Score 2

Intervention Type OTHER

We will retrospectively compare the alarms produced from traditional vital sign alarms (thresholds set by clinicians) versus the BioVitals Index vs the National Early Warning Score 2

Interventions

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Traditional vital sign alarms versus the BioVitals Index vs the National Early Warning Score 2

We will retrospectively compare the alarms produced from traditional vital sign alarms (thresholds set by clinicians) versus the BioVitals Index vs the National Early Warning Score 2

Intervention Type OTHER