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

NCT05860777 | Completed

• 1 other identifier: 22-002926
• Study Type: interventional
• Target: 1,923
• Locations: 1 country
• Sites: 1

Brief Summary

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

Conditions

Artificial Intelligence

Keywords

Limited English Proficiency; Machine Learning; Language Barrier; Complex Medical Needs

Outcome Measures

Primary Outcomes (1)

• Number of interpreters

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

  12 months

Secondary Outcomes (1)

• Change in time to interpreter use

  12 months

Study Arms (2)

Control

NO INTERVENTION

This is the control group who receive standard of care

Intervention

EXPERIMENTAL

This is the group in units who are identified via AI model and in which interpreter services are actively reaching out to clinicians

Other: Complexity score and implementation

Interventions

Complexity score and implementation OTHER

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

Also known as: AI machine learning model and implementation with reaching out to clinicians

Intervention

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• 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

You may not qualify if:

• \- Do not require an interpreter

Sponsors & Collaborators

• Mayo Clinic: lead

Study Sites (1)

Mayo Clinic Minnesota

Rochester, Minnesota, 55905, United States

Location

Related Publications (2)

• Barwise A, Strechen I, Eltalhi T, Piche K, Wilson P, Tschida-Reuter D, Liu E, Herasevich S, Schulte PJ, Sutor B, Pickering B. Improving In-person Interpreter Utilization in Complex Care: Findings from a Stepped-Wedge Cluster Randomized Trial of Integrated Artificial Intelligence. J Gen Intern Med. 2026 Jan 5. doi: 10.1007/s11606-025-10104-9. Online ahead of print.

  PMID: 41491380 DERIVED

• Strechen I, Wilson P, Eltalhi T, Piche K, Tschida-Reuter D, Howard D, Sutor B, Tiong I, Herasevich S, Pickering B, Barwise A. Harnessing health information technology to promote equitable care for patients with limited English proficiency and complex care needs. Trials. 2024 Jul 4;25(1):450. doi: 10.1186/s13063-024-08254-y.

  PMID: 38961501 DERIVED

Related Links

• Mayo Clinic Clinical Trials

Study Officials

• Brian Pickering, MB, B.Ch

  Mayo Clinic

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: HEALTH SERVICES RESEARCH
• Intervention Model: CROSSOVER
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Model Details: This is a pragmatic clinical trial-a stepped wedge cluster randomized control trial

Study Record Dates

• First Submitted: May 8, 2023
• First Posted: May 16, 2023
• Study Start: May 1, 2023
• Primary Completion: June 21, 2024
• Study Completion: September 30, 2024
• Last Updated: October 3, 2024

Record last verified: 2024-10

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)