Complex Care Management for Chronic Disease
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial tests a new method for enrolling patients into a personalized care program at UCLA. The focus is on using an AI tool, the AI Cost Prediction Model, to identify Medicare Advantage patients who might need extra support due to high healthcare costs. Participants are divided into two groups: one group receives an invitation to join the care program, while the other is placed on a waitlist. Patients with a UCLA Managed Care Plan flagged by the AI for high predicted healthcare costs may be suitable for this trial. As an unphased study, this trial offers a unique opportunity to participate in innovative research that could enhance personalized healthcare.
Will I have to stop taking my current medications?
The trial information does not specify whether you need to stop taking your current medications.
What prior data suggests that this method is safe for enrolling patients into Proactive Care?
Research has shown that AI tools can help manage long-term illnesses. These tools analyze large amounts of health data to predict disease progression and identify patients who may need extra care. Studies have found that AI in healthcare can make treatment more effective and tailored to patients with complex health needs.
Regarding safety, the AI Cost Prediction Model acts as a tool, not a drug or medical device, so it doesn't pose direct health risks. Instead, it aids doctors in making better decisions about patient care. No evidence suggests any negative effects directly caused by the AI model, as it primarily supports medical staff in decision-making.
AI use in healthcare is increasing, and its role in managing chronic diseases is generally well-accepted, aiming to make care more efficient and personalized.12345Why are researchers excited about this trial?
Researchers are excited about this trial because it explores a novel approach to managing chronic diseases using an AI Cost Prediction Model. Unlike traditional methods that focus primarily on direct patient care and medication, this trial seeks to enhance care management with predictive analytics. The AI model aims to anticipate healthcare costs and optimize resource allocation, potentially improving patient outcomes and reducing unnecessary expenses. By integrating advanced technology into chronic disease management, this trial could pave the way for more efficient and personalized care solutions.
What evidence suggests that this AI Cost Prediction Model is effective for enrolling patients into Proactive Care?
Research has shown that programs designed to manage complex care can assist with chronic diseases. In this trial, participants may enroll in the complex care management program called ProActive Care. One study found that personalized care reduced anxiety and depression, although it didn't completely relieve symptoms. Another study found that care models with strong teamwork significantly lowered patients' blood pressure. Reviews of collaborative care models have often found them effective in managing chronic conditions. These findings suggest that personalized and team-based care approaches can improve certain health outcomes for patients with complex needs.678910
Who Is on the Research Team?
Richard K Leuchter, MD
Principal Investigator
University of California, Los Angeles
Are You a Good Fit for This Trial?
This trial is for UCLA's Medicare Advantage patients who are waiting to enroll in the Proactive Care program, which aims to reduce healthcare usage by providing personalized care. Patients will be chosen based on an AI Cost Prediction model that identifies those with potentially high future medical costs.Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Randomization and Enrollment
Patients are randomized into either the Proactive Care program or a waitlist control group
Intervention
Participants in the Proactive Care group receive personalized care navigation and case management
Follow-up
Participants are monitored for outcomes such as days alive and out of hospital, emergency department visits, and healthcare expenditures
What Are the Treatments Tested in This Trial?
Interventions
- AI Cost Prediction Model
Find a Clinic Near You
Who Is Running the Clinical Trial?
University of California, Los Angeles
Lead Sponsor