Harnessing Health IT to Promote Equitable Care for Patients with Limited English Proficiency and Complex Care Needs

Mayo Clinic1,923 enrolled

Overview

This is a pragmatic trial that will measure if the use of AI to identify patients with complex care needs and language barriers, as well as active reaching out to clinicians to offer the use of interpreter services will improve the frequency of interpreter use and reduce the time to first interpreter use

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

HEALTH_SERVICES_RESEARCH

Masking

NONE

Enrollment

1,923

Conditions

Artificial Intelligence

Interventions

Complexity score and implementationOTHER

AI machine learning model to identify patients with complex care needs and implementation with active reaching out to clinicians to offer interpreter services

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Adults with limited English proficiency and requiring an interpreter and having complex medical care needs (includes admitted to the ICU, prolonged hospital stay, requiring palliative care) * Have research authorization Exclusion Criteria: \- Do not require an interpreter

Locations (1)

Mayo Clinic Minnesota

Rochester, Minnesota, United States

Outcomes

Primary Outcomes

Number of interpreters

the number of interpreters used among patients with LEP and complex care needs

Time frame: 12 months

Secondary Outcomes

Change in time to interpreter use

The time measured in hours and minutes for an interpreter to be used for patients with LEP

Time frame: 12 months

Data from ClinicalTrials.gov

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