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Hear from Elsevier Health leaders on AI in healthcare
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In this video, Jan Herzhoff, President of Health Markets at Elsevier, and Mie-Yun Lee, Chief of Staff at Elsevier, share how AI can help solve for some of the challenges the healthcare industry faces and their hopes on how AI can help clinicians deliver high-quality care.ย
โAI actually has the ability to close the gap between the demands that society has and the realities that we face today.โ - Mie-Yun Leeย
In this video, Jan Herzhoff, President of Health Markets at Elsevier, and Mie-Yun Lee, Chief of Staff at Elsevier, describe important considerations clinicians should make when implementing AI technology and how responsible AI principles play a vital role in the development of generative AI solutions for healthcare.ย
โFor us itโs super critical that this content is delivered in a very responsible way to healthcare providers across the globe.โ - Jan Herzhoffย
In this video, Elsevierโs content experts Dr. Louise Chang and Mie-Yun Lee describe the benefit of Elsevierโs deep history of trusted content and the impact it has on the quality of our AI tools.ย
โElsevier is uniquely positioned to deliver clinical AI initiatives because of our strength in our content and our history in delivering evidence-based, peer-reviewed information to clinicians around the world.โย - Louise Changย
In this video, Elsevier Healthโs clinical experts Dr. Paul Helmuth, Dr. Claudine Lott, and Dr. Louise Chang describe some of the challenges clinicians face in todayโs healthcare environment and how AI can support clinicians in addressing these challenges.ย
โUsing an AI tool can help to really speed that process up and to help increase the confidence that clinicians have that theyโre getting to the right answer for their particular patient.โ - Dr. Paul Helmuthย
In this video, Elsevier Healthโs clinical experts Dr. Paul Helmuth and Dr. Claudine Lott share challenges that could come from using AI for clinical scenarios and how to address those challenges with technology.ย ย
โOne of the biggest considerations when implementing AI for clinical decision support for physicians is accuracy and trust in the answers. So we can address this by using a corpus of trusted, evidence-based information that the AI can draw from so that clinicians can have faith in the information theyโre receiving.โย - Dr. Claudine Lottย ย
In this video, Elsevier Healthโs clinical experts Dr. Paul Helmuth and Dr. Claudine Lott describe the importance of personal clinician interactions with patients and the role of AI in supporting clinicians.ย
โWe all feel some sense of responsibility to be giving great care that we can stand behind. So we need transparent processes so that everybody can see how we're generating the responses that we are that are leading to the care of patients.โ - Dr. Paul Helmuthย
In this video, Elsevier Healthโs technology experts Katie Scranton and Rhett Alden outline how a responsible AI framework can help mitigate potential ethical challenges with AI in healthcare and share their predictions on what the future holds for AI in the industry.ย
โIn the future of AI in healthcare I really see a move toward a careful and responsible application of these models in a way that will help clinicians solve their problems more efficiently, not in a way that would solve problems for clinicians.โย - Katie Scrantonย
In this video, Elsevier Healthโs technology experts Katie Scranton and Rhett Alden describe what content storage and search functionality looks like presently in ClinicalKey AI and why itโs important for healthcare systems.ย
โClinicalKey AI is based on a vector search model, but most importantly, it uses proprietary large language models to help drive that search. That's a very innovative model that we're using rather than relying on conventional search technologies.โ - Rhett Aldenย
In this video, data scientist and RN Leah Livingston shares how metrics like accuracy and potential harmfulness are important factors in determining the effectiveness of responses provided in ClinicalKey AI.ย
โClinicians can trust our results because weโve partnered with clinicians, statisticians, and data scientists to ensure weโve powered our study appropriately so that we can ensure reliable and valid data.โย - Leah Livingstonย
