Evaluation of AI Cost Prediction Model to Enroll Patients in Complex Care Management Program

Part of paid clinical trials in Los Angeles, California.

Sponsor
University of California, Los Angeles
Study ID
NCT06916247
Status
Recruiting
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Conditions

  • Chronic Disease

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • Complex care management program — BEHAVIORAL
    Intensive outpatient care management program that includes contact from nurses and case managers to help coordinate care, detect clinical red flags, and reduce overall unplanned acute care utilization.

Study Details

Currently, UCLA Health (specifically the Office of Population Health and Accountable Care, or OPHAC) runs a complex care management program called Proactive Care (goal is to reduce care utilization by providing personalized care navigation/case management). Every month, an AI Population Risk tool runs to identify around 250 of the 480,000 or so UCLA primary care patients, and RNs contact these 250 patients to enroll in Proactive Care. Starting in December 2024, OPHAC launched a new method of enrolling UCLA's Medicare Advantage (MA) patients into Proactive Care: an AI Cost Prediction model. The idea is the same-- the top 250 highest predicted cost patients will be enrolled in Proactive Care. The investigators will evaluate this model and subsequent enrollment into the program by randomizing the waitlist of MA patients waiting to enroll in Proactive Care, thereby creating a control group. The top 500 highest predicted cost patients will be identified each month, and following a 1:1 randomization, 250 will be contacted for enrollment and the rest will be put on a wait-list control group for 10 months unless otherwise requested by their provider to be enrolled in the Proactive Care program earlier.

Key Dates

Start date
Aug 16, 2024
Status verified
Jan 2026
Primary completion
Sep 9, 2025
Completion
May 12, 2026

Study Design

Enrollment
5,000 participants (estimated)
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION

Arms

  • Active Comparator: Complex Care Management
    Patients randomized to be contacted for enrollment into the complex care management program called ProActive Care.
  • No Intervention: Care as usual
    Patient randomized to be put on a waitlist for being contacted for enrollment into ProActive Care (ie, not enrolled in ProActive Care).

Primary Outcome Measure

Days alive and out of hospital (DAOH) at 120 days from randomization [ Time Frame: 120 days after randomization ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
UCLA HealthLos AngelesCalifornia90095
Richard Leuchter, MD
[email protected]

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By research site
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