Harvard's Center for Public Leadership’s Post

Today , I had the previlege of attending a webinar organized by the U.S Department of Veteran Affairs on "Leveraging Artificial Intelligence to advance implementation Science Methods". The discussion centered on how AI can be a game changer in addressing key implementation Science challenges, particularly in areas of: Equity -Ensuring that AI-powered interventions are inclusive and tailored to diverse populations. Speed-Accelerating research process and real world application of findings. Rigor- Enhancing the precision and quality of evidence in implementation Science. It's exciting to see the potential of AI to augment implementation Strategies and methodologies, fostering more efficient, equitable, and impactful outcomes in healthcare research and beyond. Looking forward to applying some of these insights to my own work. #ImplementaionScience#Artificialintelligence.

Healthcare executives are continuing to increase their focus on Digital & AI transformation to meet consumer demands, address workforce hurdles, reduce costs and enhance the overall quality of care. Here is interesting article by McKinsey & Company highlighting how AI, traditional machine learning, and deep learning projects are projected to result in net savings up to $360 billion in healthcare spending. #machinelearning #ai #digitaltransformation

How can I use AI to achieve my organization’s goals? How will AI impact underserved communities? How can I use these technologies to make a difference? Dr. Joshua-Paul Miles, assistant professor of strategic communication at Marquette University and NMDSI affiliated faculty member, answers these questions in his recent thought leadership article, “Emerging Technologies and Social Impact Work.” Read his full piece on our website: https://lnkd.in/gymKjvjd #nmdsithoughtleader #socailimpact #dataforgood

"AI, traditional machine learning, and deep learning are projected to result in net savings of up to $360 billion in healthcare spending. But while 75% of executives place a high priority on digital and analytics transformation, most of them lack ressources or planning in this area." Interesting read. Everyone knows that digitialization would reap huge benefits, with AI and machine learning having the biggest impact. Still everyone is still stuck in day-to-day survival mode and lacks ressources execute such projects. What is you thought? What could we do to enable healthcare innovations?

Hisham Hamadeh, SVP, Global Head of Data Science and AI, recently spoke at the New Jersey AI Summit on the topic of “AI for Health.” The Summit, hosted by Princeton University in partnership with New Jersey Gov. Phil Murphy and the New Jersey Economic Development Authority (NJEDA), brought together leaders from the region and beyond to explore #AI applications in health, finance, sustainable energy, and technology, while also addressing the societal implications of AI and the opportunities to advance AI education and workforce development.    Learn more about Hisham’s perspective shared during the event.     #Innovation #NJAISummit  

As organizations across all sectors work to capitalize on the transformational benefits provided by artificial intelligence (AI), pressing questions about its accompanying risks and public skepticism toward this emerging technology need to be addressed. Corporate executives, business leaders, government workers, policymakers, and GW faculty, students, and alumni convened to discuss these questions at GW’s second annual Business & Policy Forum titled, “Imagining the Future with AI.” Read more about it here: go.gwu.edu/77i #GWEngineering #RaiseHigh #GWForum24 #AI

Final tickets available for our 2-day symposium exploring how we can tackle effectiveness, safety and integrity to make generative AI work well for all. Co-hosted with the Data Science Institute at Imperial College London the symposium takes place on Monday 20 May (at Imperial) and Tuesday 21 May (at the LSE) As generative AI smashed records for speed of individual adoption, organisations are now tackling challenges of making AI work well — well enough to support not just individual adoption, but institutionalisation. Though still early days, users, organisations, and policy makers have come to appreciate challenges of hallucination, control, and transparency of data and use. In response to these challenges, scientists, entrepreneurs, users, and governments are tackling issues of effectiveness, safety, and integrity. On Tuesday 21, three panels at the LSE will discuss the impacts of #GenerativeAI on #Healthcare, #Sustainability and #Education. Find out more and register to attend 🔻 https://lnkd.in/eBSZx-rR Kenneth Benoit, Anna Dijkstra, Pritesh Mistry, Anna Studman, Miqdad Asaria, Daniel Erasmus, Susanne Knorr, FRGS, Samuel Young, Marion Dumas, Sue Attewell, Mairéad Pratschke, PhD, Jon Cardoso-Silva

Looking forward to attending the panel discussion "Generative AI in health and healthcare, help or hindrance?" at The London School of Economics and Political Science (LSE) on Tuesday 21st. #healthtech #ai #digitalhealth #digitaltransformation

According to this McKinsey & Company survey, health system executives see digital and AI transformation as crucial to overcoming ongoing challenges from rising costs to clinical-workforce shortages to aging populations to increasing competition from nontraditional players. Yet, 75% say their investments may be falling short. Artificial intelligence, traditional machine learning, and deep learning are projected to result in net savings of $200 billion to $360 billion in healthcare spending. These figures are staggering and AI, applied pragmatically can accelerate the healthcare cost reduction imperative. Read the full report: https://lnkd.in/gJKBw2_e #ReducingCosts #DataAbstraction #HealthcareInnovation #AI #HealthcareCosts