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A Study of Workflow-Integrated Artificial Intelligence for RPM Enrollment

NCT05744180 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 10

Last updated 2024-10-09

No results posted yet for this study

Summary

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.

Conditions

  • Nursing

Interventions

OTHER

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.

Sponsors & Collaborators

Principal Investigators

  • Tufia Haddad, MD · Mayo Clinic

Study Design

Allocation
NA
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-06-19
Primary Completion
2024-01-16
Completion
2024-01-16

Countries

  • United States

Study Locations

More Related Trials

Entities

Companies

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 NCT05744180 on ClinicalTrials.gov