Duke University School of Medicine’s Post

NEW: Duke Health joins leading health systems and payers in signing a pledge committing to key principles of safety, security, and trust for the development and application of #AI at the annual conference hosted by the Office of the National Coordinator for Health Information Technology (ONC): https://lnkd.in/eugpZjR9   “First and foremost, AI should serve humans,” said Michael Pencina, PhD, Duke Health’s chief data scientist and director of Duke AI Health. “It’s imperative that #AI is developed and applied in a trustworthy manner, and we have been engaged in establishing that foundation for the last few years, as evidenced by our role in the Coalition for Health AI (CHAI) and recent publications (https://lnkd.in/gaafRPC3). We are not catching up on this — it’s something that has been a differentiator in terms of being careful and proactive — and our signature on the pledge is a further confirmation of our commitments.” Learn more about Algorithm-Based Clinical Decision Support (ABCDS) Oversight, Duke Health’s framework for governance and oversight of algorithmic technologies here: https://lnkd.in/ejTAQ6-i   #ABCDSOversight Craig T. Albanese, MD, MBA, Mary E. Klotman M.D., Duke University School of Medicine, Duke University, Duke Clinical and Translational Science Institute, Duke Clinical Research Institute,

As AI permeates every corner of healthcare, from bedside monitors to population health management systems, the stakes have never been higher. Learn more: https://lnkd.in/erXr8uRH #Healthcare #AI #SolveWithSHI

Public health professionals need to assess emerging trends and programmatic outcomes to inform public policies and interventions. Generative AI tools can augment the ability to collect and analyze large amounts of data related to health, including information in the form of unstructured free text. There is often not enough capacity to fully organize and analyze these data because of constraints on time, personnel, and expertise.Generative AI can facilitate advanced analytics to inform new interventions to address complex health issues. https://lnkd.in/eZwPTP22

Last week, Health Affairs published an interesting article by Niam Yaraghi about: "Generative AI In Health Care: Opportunities, Challenges, And Policy." He points out the important role of HIEs in AI data management and how this can lead to more comprehensive data and improved population health. Check it out: https://lnkd.in/ekCB7CYr

Continued my virtual attendance at the RAISE Health Symposium 2024 this afternoon, the second half of the sessions was incredibly insightful! 🌟 I have *pages* of notes to pore through - but here are some quick thoughts and highlights for me! 💛 "Health is more than healthcare." 💛 - M. Howell, MD - Chief Clinical Officer, Google 🧑⚕️ Vulnerable Populations: The need for tailored AI solutions to address unique challenges faced by vulnerable communities. Nina Vasan, MD, MBA at Stanford's Brainstorm shared some great insights, ideas and thoughts about how AI is already shifting the mental healthcare landscape. Natalie Pageler MD Randall Rutta 🛠️ AI Implementation & Frameworks: A powerful reminder from the panel: "Do what works, work together, make it last." The discussion emphasized the three pillars of trust in AI implementation. Michael Pfeffer 💬 Fireside Chat with NHS Clinical AI Lead Hatim Abdulhussein: Hatim shared that AI isn't perfect and shouldn't be assumed to be better than humans. He stressed the importance of health literacy and digital literacy. 🔬 AI-Enabled Research: Exploring AI's role in advancing research capabilities, including concepts like ambient intelligence and agentic intelligence. Peter Lee Jessica Mega Sylvia Plevritis Looking forward to applying these learnings and continuing the conversation in future symposiums! #AI #Healthcare #Innovation #DigitalHealth #RAISEHealthSymposium #artificialintelligence #AugmentedIntelligence #AmbientIntelligence

My colleagues at Google Health have written an interesting article in Health Affairs about the potential of generative artificial intelligence (AI) to transform public health practice. The article discusses the recent advancements in AI and the need for public health to adapt. It also highlights the challenges and opportunities of using AI in public health. One of the most promising applications of generative AI in public health is its ability to create content, such as images and text, to improve communication with the public. For example, AI can be used to generate personalized health education materials or to create public service announcements that are more likely to resonate with target audiences. Generative AI can also be used to analyze data and improve decision-making. For example, AI can be used to identify trends in disease outbreaks or to predict which individuals are most at risk of developing certain diseases. This information can be used to inform public health interventions and improve population health outcomes. However, there are also challenges associated with using generative AI in public health. One challenge is ensuring that the data used to train AI models is accurate and representative. Another challenge is avoiding bias in AI-generated content. Overall, generative AI has the potential to improve public health practices in a number of ways. However, it is important to address the challenges associated with using AI in public health in order to ensure that it is used effectively and ethically. Great insights Monica Bharel MD, MPH, Von Nguyen, Karen DeSalvo, and John Auerbach! https://lnkd.in/g-PcrUTj #publicHealth #generativeAI #health #digitalHealth

Check out this insightful article by Zainab Garba-Sani, Harkness Fellow in Health Policy and Practice, on ambitions for healthcare AI. Even if your work doesn't directly involve public and patient engagement, the piece sheds light on crucial considerations for advancing health equity. Find the article here: https://lnkd.in/eVnWMawV

In their new Forefront article, Theresa Cullen, Lisa Villarroel, and Matthew Jager from PIMA COUNTY HEALTH DEPARTMENT and Arizona Department of Health Services discuss how leveraging AI tools to offset ongoing resource shortfalls will require ongoing engagement by public health, improved data accessibility, and a renewed commitment to the public health workforce. "Advances in artificial intelligence (AI) tools may offer beleaguered public health departments the means to meet these ongoing deficits. To paraphrase Kasparov’s Law, a principle based on human-AI collaboration in chess, an underresourced health department with effective AI processes will outperform a health department with better resources but less familiarity with AI." Read the full article here: https://bit.ly/3vSz7a7