Algorithm-Based Feedback for Patient Education
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial aims to enhance internal medicine residents' communication with patients using a tool called Communication Compass. This tool provides personalized, quick feedback on how effectively residents educate and counsel patients. One group of residents will receive this feedback alongside their usual training, while another group will receive it after the trial concludes. Ideal participants are first- or second-year internal medicine residents at NYU Langone Health who regularly engage in educational activities such as clinical assessments. As an unphased trial, this study offers residents the chance to improve their communication skills, benefiting both their professional development and patient care.
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 algorithm-based feedback is safe for patient education?
Research has shown that tools like the Communication Compass, which use algorithms, are generally safe for use. These tools enhance skills by providing personalized feedback. No reports have indicated physical side effects or health risks from this type of software. The primary concern involves the emotional or mental impact of the feedback. For example, negative feedback can affect a person's mood and behavior. However, no evidence suggests these effects are dangerous or harmful to health. Overall, similar technology in other areas has not demonstrated any direct harm to users.12345
Why are researchers excited about this trial?
Researchers are excited about the Algorithm-Based Feedback for Patient Education trial because it explores a new way of enhancing patient learning through personalized feedback. Unlike standard educational methods that offer a one-size-fits-all curriculum, this approach uses advanced algorithms to provide tailored feedback to patients, potentially boosting their understanding and engagement with their health. The innovative aspect lies in the use of technology to deliver customized insights, which could lead to more effective patient education and improved health outcomes. By comparing this method to traditional educational summaries, researchers aim to uncover how personalized feedback can make a significant difference in patient care.
What evidence suggests that the Communication Compass is effective for improving communication skills?
Research shows that the Communication Compass, which trial participants may receive, uses advanced AI to provide feedback on communication skills. This system evaluates communication in various areas and offers proven feedback with real-life examples. It aims to help medical residents educate and advise patients more effectively by making feedback specific and frequent. Studies have shown that personalized feedback can greatly improve learning and skill development. While researchers are still gathering direct evidence about the Communication Compass itself, using AI in education appears promising for enhancing communication skills.678910
Who Is on the Research Team?
Yuliya Yoncheva, PhD
Principal Investigator
NYU Langone Health
Are You a Good Fit for This Trial?
This trial is for first and second-year internal medicine residents at NYU Langone Health or those in ACGME-accredited programs. Participants should be medical school graduates who engage in standard educational activities like OSCEs and clinical assessments.Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Implementation
Participants receive algorithm-based feedback reports and standard curriculum
Follow-up
Participants are monitored for improvement in communication skills and competency
What Are the Treatments Tested in This Trial?
Interventions
- Communication Compass
Trial Overview
The study is testing 'Communication Compass,' an algorithm-based system providing real-time feedback on patient education communication skills to internal medicine residents, against a standard curriculum without such technology.
How Is the Trial Designed?
2
Treatment groups
Experimental Treatment
Active Control
Participants assigned to Group A receive algorithm-based feedback reports plus standard curriculum.
Participants assigned to Group B receive the standard curriculum with usual summary reports. Group members also receive algorithm-based feedback after study completion).
Find a Clinic Near You
Who Is Running the Clinical Trial?
NYU Langone Health
Lead Sponsor
Citations
1.
trial.medpath.com
trial.medpath.com/clinical-trial/04ca58a356021976/nct07220070-communication-compass-feedbackCommunication Compass | MedPath
The primary purpose of this study is to develop, implement, and validate algorithm-based feedback reports (Communication Compass) that provides personalized ...
Artificial Intelligence in Medical Education
This system will use advanced AI to assess communication across various dimensions and provide structured, rigorously-validated feedback with real examples. We ...
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The COMPASS study: A prospective, randomized, multi ...
This three-arm randomized controlled trial is testing the effectiveness of an evidence-based video intervention informing patients of screening choices.
5.
fredhutch.org
fredhutch.org/en/research/divisions/public-health-sciences-division/research/biostatistics/compass.htmlComprehensive Center for the Advancement of Scientific ...
COMPASS promotes scientific excellence in research aimed at eliminating cancer and other diseases of public health importance.
COMPAS (software)
The COMPAS software uses an algorithm to assess potential recidivism risk ... Another general criticism of machine-learning based algorithms is since they are ...
7.
cmr.berkeley.edu
cmr.berkeley.edu/2025/06/the-algorithmic-compass-navigating-ethical-decision-making-in-the-age-of-ai-driven-management/Navigating Ethical Decision-Making in the Age of AI-Driven ...
One of the significant ethical issues we are addressing today is algorithmic bias. AI systems learn from historical data, which means they can ...
Negative performance feedback from algorithms or humans ...
This study investigates the effects of negative performance feedback (NPF) on the attitudes, cognition and behavior of medical researchers, comparing NPF from ...
The Scary Truth Behind Risk Assessment Algorithms
These tools — sometimes called “risk assessments” — aim to recommend sentence length and severity specific to each defendant based on a set of ...
10.
mallika-chawla.medium.com
mallika-chawla.medium.com/compas-case-study-investigating-algorithmic-fairness-of-predictive-policing-339fe6e5dd72COMPAS Case Study: Investigating Algorithmic Fairness ...
The defendant, Eric Loomis, had been assessed by COMPAS as a high risk individual and was consequently sentenced to eight years in prison — a ...
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