Intelligent Decision Support Tool for Mild Cognitive Impairment
(CREATE P3 Trial)
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial explores how digital assistants can help older adults, including those with mild cognitive impairment (MCI), manage their healthcare more effectively. The goal is to develop smart technology tools, specifically an Intelligent Decision Support Tool, to assist with accessing support services, managing healthcare finances, and navigating Medicare.gov. Participants will test various versions of these tools and provide feedback on their usefulness and ease of use. Individuals aged 60 or older, who can read English and have some cognitive challenges, might be suitable candidates. As an unphased trial, this study offers a unique opportunity to contribute to the development of innovative technology that could significantly enhance healthcare management for older adults.
Will I have to stop taking my current medications?
The trial information does not specify whether you need to stop taking your current medications. It's best to discuss this with the trial coordinators or your doctor.
What prior data suggests that this digital assistant tool is safe for older adults with Mild Cognitive Impairment?
Research has shown that digital tools designed to aid older adults with cognitive health are generally easy to use. One study on similar smart systems found that these tools effectively identified mild cognitive impairment (MCI) without causing significant side effects. Participants using these digital helpers reported better support, with no major negative effects. This suggests that the technology is safe for managing health tasks for those with MCI.12345
Why are researchers excited about this trial?
Researchers are excited about the Intelligent Decision Support Tool for Mild Cognitive Impairment because it introduces a personalized digital assistant that could transform how patients manage their health. Unlike current generic digital tools, this tool uses tailored data to address specific queries, potentially making it more intuitive and effective. The tool aims to reduce the mental workload associated with managing health problems, offering a more user-friendly experience. By enhancing comprehension and usability, it could significantly improve the quality of life for older adults facing cognitive challenges.
What evidence suggests that this digital assistant tool is effective for supporting health-management activities in older adults with Mild Cognitive Impairment?
Research has shown that smart decision-making tools can help manage mild cognitive impairment (MCI). These tools use artificial intelligence (AI) to assist in early diagnosis and improve thinking skills. For instance, AI systems accurately identify MCI in 91% of cases. Additionally, AI-based brain exercises have led to noticeable improvements in mental abilities. In this trial, participants will use various digital assistant tools, including the Intelligent Decision Support Tool, to provide personalized support, making it easier for older adults to manage healthcare tasks.23678
Who Is on the Research Team?
Sara J Czaja, PhD
Principal Investigator
Weill Medical College of Cornell University
Are You a Good Fit for This Trial?
This trial is for adults aged 62 and older who have mild memory or thinking problems (mild cognitive impairment), can read English at a basic level, and have some vision. Participants should show signs of cognitive issues based on clinical tests.Inclusion Criteria
Timeline for a Trial Participant
Phase 1: Problem Space Specification and Task Selection
Participants engage in structured interviews to assess healthcare management challenges and needs.
Phase 2: Development of Digital Assistant Tools
Iterative design and evaluation of digital assistant tools based on participant feedback.
Phase 3: Comparative Assessment of Digital Assistant Tools
Participants use and evaluate digital assistant tools, with assessments of usability and efficacy.
Follow-up
Participants are monitored for feedback on tool usability and cognitive support effectiveness.
What Are the Treatments Tested in This Trial?
Interventions
- Project 3, Phase 3: Intelligent Decision Support Tool
Trial Overview
The study is testing a digital assistant tool designed to help older adults with mild cognitive impairment manage healthcare tasks like finding support services, handling medical finances, and using Medicare.gov tools.
How Is the Trial Designed?
2
Treatment groups
Experimental Treatment
Active Control
Participants will be given a brief introduction to Large Language Models, how they can be used to solve queries, and introduced to Sidekick. Some simple example queries will be used to demonstrate its use, how to construct prompts, and to illustrate the nature of Sidekick's responses. Participants will also be instructed about different degrees of specificity of information and other customization features of Sidekick and how to use responses as a springboard for iterative prompting (sequential queries).
Participants will be asked to open the medicare.gov website. They will be shown the basic structure of the homepage and the distinctions between tabs on the website. Examples of information that can be obtained from these different tabs will be demonstrated. Navigation between different parts of the website will also be demonstrated.
Find a Clinic Near You
Who Is Running the Clinical Trial?
Weill Medical College of Cornell University
Lead Sponsor
National Institute on Aging (NIA)
Collaborator
Citations
Data-driven clinical decision support tool for diagnosing mild ...
Data-driven clinical decision support tool ... cognitive and neurological outcomes preceding mild cognitive impairment, dementia, and death.
A Real-Time Clinical Decision Support System, for Mild ... - PMC
We designed an intelligent system, based on hybrid ANNs, providing a tool to aid in a reliable detection of MCI, which is underdiagnosed, in a primary care ...
AI-Supported Cognitive Rehabilitation for Older Adults With ...
This study will determine whether integrating AI-guided cognitive exercises with clinician-delivered rehabilitation improves cognitive and ...
Intelligent decision support systems for dementia care
This scoping review aims to investigate the current state of AI applications in the development of intelligent decision support systems for dementia care.
Current Advances in Computerized Cognitive Assessment ...
Overall classification accuracy in detecting MCI or dementia, distinguishing from normal cognition (NC), reached up to 91%. Impressively, 46% of ...
Intelligent Decision Support Tool for Mild Cognitive ...
The goal for this project is to support the cognitive components of older adults' health-management activities through development of digital assistant ...
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alz-journals.onlinelibrary.wiley.com
alz-journals.onlinelibrary.wiley.com/doi/full/10.1002/dad2.70209Risk prediction of mild cognitive impairment using electronic ...
Predictive algorithms using electronic health records (EHRs) are useful for identifying individuals at risk for mild cognitive impairment (MCI) ...
Early Detection of Mild Cognitive Impairment (MCI) in an At ...
Emerging digital tools have the potential to enable a new generation of qualitative and quantitative assessment of cognitive performance.
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