New artificial intelligence (AI) capabilities have the potential to transform the healthcare industry by delivering better outcomes, increasing efficiency and productivity, and reducing costs.
At the HIMSS 2024 Global Health Conference, Microsoft announced the creation of a new consortium, the Trustworthy & Responsible AI Network (TRAIN), with participation from Vanderbilt University Medical Center (VUMC) and other leading academic medical centers.
TRAIN will serve as one of the first healthcare AI networks aimed at operationalizing responsible AI principles to improve the quality, safety, and reliability of AI in healthcare. Additionally, the network is collaborating with OCHIN, which serves a national network of community health organizations with solutions, expertise, clinical insights, and customized technology, ensuring that all organizations, regardless of their resources, can benefit from TRAIN We make sure you have access to the benefits that have to offer.
From assisting in patient screening to developing new treatments and drugs, automating administrative tasks, and strengthening public health, AI is creating new possibilities and opportunities for healthcare organizations and healthcare professionals. As new applications of AI in healthcare continue to develop and grow, the need for rigorous development and evaluation standards to ensure effective and responsible application of AI becomes even more important.
“Even the best healthcare organizations today have many challenges that could be significantly improved with AI-powered solutions. Just as it is unthinkable to treat patients, AI-derived models and algorithms must be tested and monitored before and after deployment in various medical settings and populations, minimizing unintended harm. Peter Enbi, MD, MS, professor and chair of the Department of Biomedical Informatics (DBMI) and senior vice president of research and innovation at VUMC.
“For the safe, effective, and equitable use of AI in healthcare, it is essential to collaborate and share tools and capabilities that enable systematic AI evaluation, monitoring, and algorithmic oversight. It's a big step towards that.”
Through collaboration, TRAIN members contribute to improving the quality and reliability of AI by:
- We will share best practices for using AI in healthcare settings, including the safety, reliability, and monitoring of AI algorithms, and the skillsets needed to manage AI responsibly.
- Enables registration of AI used in clinical care or clinical operations through a secure online portal.
- Tools that enable the measurement of outcomes related to AI implementation, including studying the effectiveness and value of AI methods in healthcare settings and best practices for leveraging privacy-preserving environments, considering both pre- and post-deployment settings. We provide Tools are also provided that allow you to perform analyzes on subpopulations to assess bias.
- Facilitate the development of a coalition national AI results registry to collect real-world results related to the effectiveness, safety, and optimization of AI algorithms.
“When it comes to the incredible capabilities of AI, there is no doubt that this technology has the potential to transform healthcare. But the process of managing the technology responsibly is just as important.” said Dr. David Lu, Microsoft's global chief medical officer and vice president of healthcare.
“Together, TRAIN members aim to establish best practices for operating AI responsibly and improve patient outcomes and safety while fostering trust in medical AI.”
