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Clinical Trials/NCT05744180
NCT05744180
Completed
N/A

Pragmatic Analysis of the Impact and Utilization of Workflow-Integrated Artificial Intelligence for RPM Enrollment

Mayo Clinic1 site in 1 country10 target enrollmentJune 19, 2023
ConditionsNursing

Overview

Phase
N/A
Intervention
Not specified
Conditions
Nursing
Sponsor
Mayo Clinic
Enrollment
10
Locations
1
Primary Endpoint
Evaluation of the effectiveness, usability, and clinical utility of the RPM "fit" score as displayed in the Acute Multipatient Viewer (AMP) and underlying AI models in the real-world setting
Status
Completed
Last Updated
last year

Overview

Brief 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.

Registry
clinicaltrials.gov
Start Date
June 19, 2023
End Date
January 16, 2024
Last Updated
last year
Study Type
Interventional
Study Design
Single Group
Sex
All

Investigators

Responsible Party
Principal Investigator
Principal Investigator

Tufia C. Haddad

Principal Investigator

Mayo Clinic

Eligibility Criteria

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).
  • Patients who will be considered for this study will be assessed based on standard RPM program inclusion and exclusion criteria for the any of the chronic disease RPM programs (congestive heart failure, coronary artery disease, hypertension, type 2 diabetes, COPD, and general complex care).

Exclusion Criteria

  • \< 18 years old.

Outcomes

Primary Outcomes

Evaluation of the effectiveness, usability, and clinical utility of the RPM "fit" score as displayed in the Acute Multipatient Viewer (AMP) and underlying AI models in the real-world setting

Time Frame: 1 year

FitScore effectiveness will determined by the patient care utilization outcomes of those who did or did not participate in RPM (for those enrolled with or without the FitScore). Usability and clinical utility will be self-reported by nursing staff collected through surveys or as directly observed by study staff (as to experience with or without the FitScore).

Secondary Outcomes

  • Assessment of "fit" score overall effect on nursing efficiency and clinical workflows(1 year)

Study Sites (1)

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