A Study of Workflow-Integrated Artificial Intelligence for RPM Enrollment

Mayo Clinic10 enrolled

Overview

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.

Study Type

INTERVENTIONAL

Allocation

Purpose

HEALTH_SERVICES_RESEARCH

Masking

NONE

Enrollment

Conditions

Nursing

Interventions

InterventionalOTHER

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

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

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.

Locations (1)

Mayo Clinic Minnesota

Rochester, Minnesota, United States

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

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).

Time frame: 1 year

Secondary Outcomes

Assessment of "fit" score overall effect on nursing efficiency and clinical workflows

Efficiency will be measured by timing studies of nurse patient screening for RPM eligibility as directly observed by study staff. The effect on clinical workflows will be self-reported by nursing staff collected through surveys (as to experience with or without the FitScore).

Time frame: 1 year

Data from ClinicalTrials.gov

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