AI-Based Support for Sepsis and ARDS
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial explores how artificial intelligence (AI) can assist doctors in treating sepsis and acute respiratory distress syndrome (ARDS). The study compares AI-generated treatment suggestions to those made by clinicians to determine if AI recommendations are equally safe and appropriate. Critical care clinicians will participate by reviewing case studies and assessing whether treatment suggestions originated from AI or a human doctor. The trial seeks doctors and advanced practice providers working in critical care or emergency medicine. As an unphased trial, this study offers a unique opportunity to contribute to groundbreaking research that could enhance clinical decision-making in critical care.
Will I have to stop taking my current medications?
The trial does not specify whether participants need to stop taking their current medications. However, since the study involves reviewing patient cases rather than direct patient care, it is unlikely that participants need to change their medication routine.
What prior data suggests that this AI-based clinical decision support system is safe for generating treatment recommendations?
Research has shown that AI-based systems can safely assist in treating sepsis and acute respiratory distress syndrome (ARDS). Studies have found that AI can suggest treatments based on data, which might be as safe and effective as those suggested by human doctors.
AI systems may outperform current methods in quickly and accurately detecting sepsis, helping doctors make better treatment decisions. So far, no reports have indicated that AI causes harm in these situations.
Overall, using AI in sepsis and ARDS care appears promising and could enhance treatment safety by providing doctors with data-driven advice.12345Why are researchers excited about this trial?
Researchers are excited about AI-based support for sepsis and ARDS because it offers a new approach to enhancing clinical decision-making. Unlike traditional treatments where human clinicians rely on their expertise and experience to make recommendations, this system uses artificial intelligence to generate treatment suggestions based on critical care cases. This AI-driven method could potentially improve accuracy and speed in treatment decisions, helping to save lives by quickly identifying the best treatment path. By integrating AI, there is hope for more personalized and precise care, reducing the burden on healthcare professionals and improving patient outcomes.
What evidence suggests that this AI-based support is effective for managing sepsis and ARDS?
Research has shown that artificial intelligence (AI) can significantly aid in managing sepsis and acute respiratory distress syndrome (ARDS). AI tools have shown promise in predicting sepsis progression, understanding patient outcomes, and improving treatment choices. In this trial, participants will review critical care cases with treatment recommendations generated by an AI-based clinical decision support system in one arm. Studies have found that AI can assist in early detection of these conditions and in creating personalized treatment plans. AI-based clinical decision support systems (CDSS) analyze data to make recommendations as safe and effective as those made by human doctors. These systems use advanced methods to provide care tailored to each patient's needs, potentially leading to better health outcomes.26789
Who Is on the Research Team?
Gary Weissman, MD, MSHP
Principal Investigator
University of Pennsylvania
Are You a Good Fit for This Trial?
This trial is for critical care clinicians who will evaluate treatment recommendations for sepsis and ARDS. The study aims to see if AI-generated advice can match the quality of human clinician suggestions.Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Survey-based Study
Participants review critical care cases in an electronic survey and assess treatment recommendations
Follow-up
Participants are monitored for their responses and assessments post-survey
What Are the Treatments Tested in This Trial?
Interventions
- Artificial Intelligence-Generated Treatment Recommendations
Trial Overview
The trial tests an AI Clinical Decision Support System (CDSS) by having participants compare its treatment recommendations with those from real clinicians, using case vignettes in a survey-based study.
How Is the Trial Designed?
Critical care cases / vignettes in this arm will contain treatment recommendations generated by an artificial intelligence-based clinical decision support system. Each participant will review four vignettes from this arm.
Critical care cases / vignettes in this arm will contain treatment recommendations that were enacted by the clinician in the actual case. Each participant will review four vignettes from this arm.
Find a Clinic Near You
Who Is Running the Clinical Trial?
University of Pennsylvania
Lead Sponsor
National Institute of General Medical Sciences (NIGMS)
Collaborator
Citations
Artificial Intelligence for Clinical Decision Support in Sepsis
AI-derived algorithms can be applied to multiple stages of sepsis, such as early prediction, prognosis assessment, mortality prediction, and optimal management.
2.
pair.upenn.edu
pair.upenn.edu/projects/improving-sepsis-care-with-ai-based-clinical-decision-support/Improving Sepsis Care with AI-Based Clinical Decision ...
This project aims to address these gaps by developing and evaluating an AI-based CDSS for IMV management of patients with sepsis and ARDS.
Effectiveness of an artificial intelligence clinical decision ...
This study introduces an artificial intelligence-clinical decision support system (AI-CDSS) that uses machine learning algorithms to analyze blood test data ( ...
AI-driven innovations in early detection and tailored therapies
Artificial intelligence (AI) offers promising solutions to improve sepsis care through earlier detection, risk stratification, and personalized ...
Systems-based framework for clinical decision-support ...
The need to investigate and support sepsis care and treatment. In this context, recent advancements in technology, deep-learning algorithms, and artificial ...
Transforming sepsis management: AI-driven innovations in ...
To summarize, AI-supported clinical decision support holds the promise to provide individualized treatment recommendations supported by data.
Optimizing artificial intelligence in sepsis management
AI has the potential to deliver timely and accurate sepsis detection on the ward and in the ED, potentially outperforming current clinical warning scores, which ...
Exploring the Potentials of Artificial Intelligence in Sepsis ...
In this study, we review recent studies that applied AI-based approaches to the management of sepsis in the ICU, focusing on improving early ...
Harnessing artificial intelligence in sepsis care: advances ...
This review explores the potential of Artificial Intelligence (AI) to transform sepsis management, from early detection to personalized treatment and real-time ...
Other People Viewed
By Subject
By Trial
Related Searches
Unbiased Results
We believe in providing patients with all the options.
Your Data Stays Your Data
We only share your information with the clinical trials you're trying to access.
Verified Trials Only
All of our trials are run by licensed doctors, researchers, and healthcare companies.