AI Diagnostic Support Tool for Diagnosis
(INTERLACE Trial)
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial aims to test a new AI tool designed to help doctors diagnose health issues more accurately during primary care visits for older adults. The AI-based diagnostic support tool suggests possible diagnoses and tests based on symptoms and medical history, which patients, caregivers, and doctors then discuss together. It is ideal for individuals aged 65 or older with a new or worsening health concern and an upcoming primary care appointment. Participants will provide feedback on their experience using the tool. As an unphased trial, this study offers a unique opportunity to contribute to the development of innovative healthcare technology.
Do I have to stop taking my current medications for the trial?
The trial information does not specify whether you need to stop taking your current medications. It seems focused on using an AI tool during a primary care visit, so it's unlikely that you would need to change your medications.
What prior data suggests that this AI diagnostic support tool is safe for older adults?
Research has shown that AI tools in healthcare can enhance safety by identifying health risks early. Studies have found that AI systems can manage complex patient information, suggesting accurate diagnoses and tests based on symptoms and medical history. This assists doctors in making better decisions.
AI tools, like the one in this trial, are computer programs that support doctors, not medications. Studies have not shown any direct harm to patients from these tools. They assist doctors by organizing and analyzing health information, making them a safe option to consider.
Although AI tools are new, they are designed to complement doctors, not replace them. This ensures that patient care remains in human hands, making these tools well-accepted in healthcare settings.12345Why are researchers excited about this trial?
Researchers are excited about the AI Diagnostic Support Tool, INTERLACE, because it offers a fresh approach to diagnosing medical conditions in primary care. Unlike traditional methods that heavily rely on a clinician's experience and intuition, INTERLACE uses artificial intelligence to analyze symptoms, vital signs, and medical history to suggest potential diagnoses and tests. This collaborative tool empowers patients, caregivers, and clinicians to engage in more informed discussions, potentially leading to quicker and more accurate diagnoses. By integrating technology into the diagnostic process, INTERLACE could streamline visits and improve patient outcomes.
What evidence suggests that this AI diagnostic support tool is effective for improving diagnosis in older adults?
Research has shown that artificial intelligence (AI) tools can help doctors diagnose illnesses more accurately and quickly. In this trial, all participants will use the INTERLACE AI tool during their primary care visits. Studies have found that AI assists primary care doctors by examining patient symptoms and medical history to improve diagnoses. One study showed that AI achieved a diagnostic accuracy rate of 52.1%, similar to that of human doctors. AI tools also convert complex patient information into easy-to-understand visuals, simplifying discussions between doctors and patients about health issues. Early evidence suggests that AI can enhance healthcare by making diagnoses faster and more precise, especially in complicated cases.56789
Who Is on the Research Team?
Gary E Weissman, MD, MSPH
Principal Investigator
University of Pennsylvania
Are You a Good Fit for This Trial?
This trial is for adults aged 65 or older who have a new or worsening health concern and are seeing a primary care doctor at the University of Pennsylvania Health System. It also includes their caregivers and clinicians working in these settings.Inclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Primary Care Visit
Participants use the AI CDSS during a primary care visit to input symptoms and review diagnostic suggestions
Feedback and Interview
Participants complete a feedback survey and interview to share their thoughts and experiences using the AI CDSS
Follow-up
Participants are monitored for any additional feedback or issues post-intervention
What Are the Treatments Tested in This Trial?
Interventions
- Artificial intelligence-based diagnostic support tool
Trial Overview
The study is testing an artificial intelligence tool that helps doctors make more accurate diagnoses during primary care visits with older adults. Participants will use the tool, review its suggestions, and give feedback about their experience.
How Is the Trial Designed?
1
Treatment groups
Experimental Treatment
All participants will be asked to use INTERLACE in their primary care visit. The tool will be presented on an handheld electronic device and may be used by patients, caregivers, and primary clinicians at each visit. First, the patient will input their current symptoms into INTERLACE. Then, using these symptoms, latest vital signs, and the patient's medical history, INTERLACE will make suggestions for diagnoses and tests. Patients, caregivers, and clinicians can view and discuss these suggestions together to arrive at a potential diagnosis.
Find a Clinic Near You
Who Is Running the Clinical Trial?
University of Pennsylvania
Lead Sponsor
Penn Artificial Intelligence and Technology (PennAITech) Collaboratory for Healthy Aging
Collaborator
National Academy of Medicine (NAM)
Collaborator
Citations
Implementation of AI-Driven Diagnostic Tools to Improve ...
AI-driven diagnostics therefore show considerable promise for reducing inequities in rural healthcare, although successful implementation will ...
Artificial Intelligence in Clinical Medicine: Challenges Across ...
... AI-driven diagnostic aid improves primary care physicians' diagnostic accuracy or efficiency). Early results indicate that AI can be very ...
Diagnostic Accuracy of Artificial Intelligence in Virtual ...
Our research highlights AI's potential to enhance clinical care efficiency through automated medical interviews and differential diagnoses. Further studies ...
Artificial Intelligence Tools to Improve Provider Effectiveness ...
AI tools can simplify complex and voluminous patient data into enhanced data visualizations that support clinical decision-making.
AI-Driven Diagnostic Tools: A Survey of Adoption and ...
The objective of this research will be to perform an evaluation on the deployment, difficulties, and consequences of artificial intelligence in diagnosing.
AI Diagnostic Support Tool for Diagnosis (INTERLACE Trial)
An artificial intelligence (AI) clinical decision support system (CDSS) offer a promising approach to promote diagnostic excellence for older ...
Role of Artificial Intelligence in Patient Safety Outcomes - PMC
Artificial intelligence (AI) provides opportunities to identify the health risks of patients and thus influence patient safety outcomes.
AI Diagnostic Decision Support for Older Adults in Primary ...
Input data: EHR data including labs, demographics, vitals, diagnoses, medications, utilization, clinical text.
Artificial intelligence in primary care: frameworks ...
The application of AI in primary care offers potential benefits including enhanced diagnostic accuracy, optimised workflows, and alleviation of ...
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