A Study of Workflow-Integrated Artificial Intelligence for RPM Enrollment

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

10 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-06-19

Study Completion Date

2024-01-16

Brief Summary

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The objective of this study is to evaluate effectiveness, usability and clinical utility of the remote patient monitoring (RPM) "fit" score when choosing patients to enter the RPM Program.

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Detailed Description

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Conditions

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Nursing

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

NONE

Study Groups

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Arm Not Applicable

Group Type OTHER

Interventional

Intervention Type OTHER

The FitScore is a machine learning algorithm embedded within the electronic health record that identifies patients most likely to benefit from remote patient monitoring.

Interventions

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Interventional

The FitScore is a machine learning algorithm embedded within the electronic health record that identifies patients most likely to benefit from remote patient monitoring.

Intervention Type OTHER

Other Intervention Names

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FitScore

Eligibility Criteria

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Inclusion Criteria

* The study participants will be nurses who are part of the RPM care team that cares for adult patients ≥18 years.
* A patient's data will be included in the analysis if the patient is ≥18 years old and receives care from a participating nurse.
* Patient data will only be collected if permitted (based on the use of the Minnesota Research Authorization Retrieval Tool).