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A Clinical Trial to Evaluate the Efficacy of the Morley Medical Sepsis (MMS) Software Device in Predicting Sepsis in Adult Patients Using Artificial Intelligence (AI) Machine Learning Algorithms

NCT04606862 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 10000

Last updated 2020-10-28

No results posted yet for this study

Summary

This is a pivotal medical device clinical trial evaluating the clinical outcomes in hospitalized patients monitored with the Morley Medical Sepsis Software Device. The device uses unique AI machine learning algorithms to analyze patient data in real time and generate clinical decision support sepsis risk predictions for clinicians.

Conditions

Interventions

DEVICE

Morley Medical Sepsis Software Device

The Morley Medical Sepsis (MMS) Software Device is a predictive analytics, stand-alone, cloud-based software system with no hardware components. The software acquires patient data from the electronic medical record, processes the data using unique artificial intelligence (AI) powered algorithms, and generates clinical decision support outputs that aid in the proactive delivery of customized and efficient care for patients. The software output is made available to the end users (trained medical professionals) via an intuitive user interface displayed on desktop computers or mobile communication devices such as laptops, smartphones or tablets.

Sponsors & Collaborators

  • Morley Research Consortium

    collaborator UNKNOWN

  • Morley Medical

    lead INDUSTRY

Study Design

Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-10-31
Primary Completion
2020-12-31
Completion
2020-12-31
FDA Device
Yes

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04606862 on ClinicalTrials.gov