A Study of Workflow-Integrated Artificial Intelligence for RPM Enrollment

Study Overview
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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.

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

Conditions
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Nursing

Intervention / Treatment
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* Other: Interventional


Participation Criteria
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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). 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.

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Health Services Research
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Other: Arm Not Applicable<br> | Other: Interventional<br>* The FitScore is a machine learning algorithm embedded within the electronic health record that identifies patients most likely to benefit from remote patient monitoring.<br>* Other names: FitScore;|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| 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). | 1 year | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| 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). | 1 year |