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How ethical AI may enhance access to care and health ownership

​The Trustworthy Responsible AI Network ( TRAIN ) was established to address the need for responsible AI in all aspects of healthcare, from academic medical centers to underserved rural communities. As a result of a collaboration between care organizations, TRAIN is creating barriers to ethical AI, especially in remote health systems, which want to promote health equity and access to care. A panel session of the HIMSS25 section will feature a panel discussion on these topics, including the topics of use cases that TRAIN is developing and testing, and how treatment attendees can use these resources to their own employ cases. From Academic Medical Centers to Rural Healthcare: Operationalizing Responsible AI is the panel’s topic, which includes four researchers from different organizations. OCHIN is a trusted spouse to a growing national service system, offering a range of perspectives and engineering experience to improve the health of agrarian and medically underserved areas. Stoll has a wealth of knowledge finding sustainable solutions to the challenging physical issues that providers in remote and medically underserved areas face. She leads OCHIN’s advocacy, plan, development and relationship teams, all of which include experts in using data-driven strategies to shut treatment gaps in nearby communities nationwide. Before joining OCHIN, Stoll spent more than 20 times in the medical industry. We spoke with her to find a first impression of the board discussion. Q. Where, and why, is the most urgent need for focus right now for the artificial intelligence revolution? A. It is crucial to allow rural and underserved areas to participate in the development of artificial intelligence. Modified electronic health record systems, faith in AI models, and assistance with the administration and management of those models are what those communities need to achieve. We all hear about how AI presents tremendous potential to transform care, and that’s true – but only if it’s done in a way that doesn’t exclude remote and medically underserved areas, and in a way that has respect. The difference between the haves and have-nots grows if companies in these communities don’t participate in the AI rebellion at the same rate and extent as those in more wealthy communities. To be able to use AI to properly develop and change care, it must first be done by doctors in all communities who have access to a modified, comprehensive electronic health record that supports the smooth exchange of standardized data. Patients and their patients are left behind when companies don’t believe in AI designs and help to maintain these models or don’t include modernized wellness IT systems. A companion to assist providers in remote and medically underserved communities get the most benefit out of their program is a necessary and essential first step toward green development that reduces clinician burden and improves health outcomes for all. Q. What does your message become to leaders in the field of technology innovation? A. We will explain how to use different technologies carefully and cautiously to develop in a way that doesn’t leave a lot of our country behind, even though we won’t examine any particular technology here. This includes establishing confidence in AI techniques through local validation, life management, and governance, which allows everyone to participate. For instance, many rural Americans have significantly higher levels of chronic illness, face unique barriers to getting specialist care, and have a 20 % higher suicide rate than those in urban places. They are also significantly more physiologically complex. Knowledge about these patients may be combined with those who reside in an economically wealthy suburb or in an urban area. If AI tools aren’t run on a local level using reliable, accurate information, like those found in OCHIN system info, then they won’t be sufficient and won’t improve the health benefits of our country’s most medically complex people. Q. What is one of the various takeaways you anticipate HIMSS25 attendees will bring home with them so they can apply there when they return to their organizations? A. Our goal is to leave HIMSS25 attendees with a better understanding and even a desire to ensure there is a level playing field for providers in rural and medically underserved communities. Whether attendees come from an academic, medical, technology, nonprofit or public sector background, we all have a role to play in ensuring underserved communities have the resources needed to participate in the AI healthcare revolution. In fact, these communities ‘ involvement in training and stress-testing new models and systems in under-resourced settings is crucial to our collective progress. Through greater funding, partnership and collaboration, innovation will be accelerated to benefit patients and providers in every community. Stoll’s panel session,” From Academic Medical Centers to Rural Healthcare: Operationalizing Responsible AI”, is scheduled for Tuesday March 4 at 2 p. m. at HIMSS25 in Las Vegas. Follow Bill’s HIT coverage on Linked In: Bill Siwicki
Email him: bsiwicki@himss .org
Healthcare IT News is a HIMSS Media publication 

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